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iwebdatascrape · 1 year ago

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How To Extract Hotel Prices From Websites Like Google, Expedia, Or Booking.Com?

In 2021, the hotel industry is witnessing a notable recovery after a year of declining travel bookings, with predictions indicating it will reach approximately $192 million in revenue. Web scraping hotel data is a valuable tool to gain a competitive edge and effectively target the right audience. Whether you're already familiar with hotel market data collection, web scraping streamlines the process, making it quicker and more efficient. Utilizing a travel data scraper, you can effortlessly gather crucial data, eliminating the need to manually visit numerous competitor and travel booking websites, input search parameters, and manually record information in spreadsheets. This efficient approach allows you to save precious time and allocate it to other aspects of your business.

In the current landscape, the travel industry stands out as one of the most lucrative niches in online business. With the convenience of booking hotels, villas, buses, international flights, and car rentals online, millions of people are exploring the world. However, manually gathering data from websites like Expedia.com, Booking.com, or Google, which includes thousands of flight schedules, airports, routes, and constantly fluctuating prices, is a monumental task. Prices can change daily or even hourly, with many daily flights. Web scraping travel data emerges as a powerful solution for efficiently tracking this data. It enables the extraction of information for various airport combinations, timings, and flights, facilitating observation and analysis of cost-effective routes, ticket prices, villa rates, pricing trends, and more.

List of Data Fields

Hotel names, addresses, and phone numbers

Room types and rates

Date

Facilities and amenities

Star ratings

Customer reviews

Promotional deals from booking sites

Seasonal rates at different hotels

Sale information

List of Travel Websites

Expedia.com: Expedia.com is a renowned online travel agency that provides a one-stop platform for booking flights, hotels, car rentals, cruises, and vacation packages. Founded in 1996, it offers vast travel options and deals, making it a popular choice for travelers worldwide. With user-friendly search tools, customer reviews, and loyalty rewards, Expedia simplifies trip planning and offers competitive prices. Its website and mobile app enable convenient browsing and booking, catering to leisure and business travelers. Expedia.com has become synonymous with hassle-free travel arrangements and is a trusted resource for exploring and booking travel experiences. Scrape Expedia.com hotel price data for price comparison.

Booking.com: Booking.com is a prominent online accommodation booking platform founded in 1996. It offers many lodging options, including hotels, apartments, and vacation rentals in destinations worldwide. Known for its user-friendly interface and extensive property listings, Booking.com allows travelers to easily search for accommodations, read reviews, and make reservations. The platform offers flexible booking options competitive prices, and often features special deals. With its comprehensive database and multilingual support, Booking.com has become a go-to choice for travelers seeking convenient and diverse lodging choices across the globe. Scrape Booking.com hotel price data for competitive analysis.

Google.com: Google.com provides valuable travel and hotel data through its search engine and services. Users can access information on flights, hotels, and travel destinations by entering relevant keywords. Google Flights helps travelers find the best airfare options, while Google Maps offers comprehensive location-based data for hotels, restaurants, and attractions. Google Hotel Search enables users to compare accommodation prices and read reviews. Google's travel-related features, like Google Trips, also streamline trip planning. By aggregating and organizing travel and hotel data, Google.com simplifies the travel experience, making it a trusted resource for travelers worldwide. Scrape Google.com hotel price data for market research.

How to Use the Data Scraped from Travel Websites?

Web scraping tools serve as invaluable assets for collecting hotel data like Residence Inn Charlotte Uptown, Courtyard Charlotte City Center, The Westin Charlotte, Hilton Charlotte Center City in Charlotte, NC, USA from different hotel websites and travel booking platforms, offering a myriad of practical applications:

1. Pricing Strategy: Hotel businesses can harness web scraping to monitor and comprehend market prices effectively. By regularly collecting data on room rates, they gain insights into competitive pricing trends. This knowledge allows them to adjust their pricing strategies promptly, stay competitive, and take advantage of promotional opportunities and rate fluctuations.

2. Brand Management: Hoteliers can scrape booking sites to access customer reviews, an essential resource for brand management. These reviews provide a window into guests' perceptions, allowing hotels to gauge the effectiveness of their branding efforts. Common concerns or recurring themes in reviews can highlight areas for improvement in customer service or accommodations, enhancing overall guest satisfaction. Moreover, scraping social media platforms can further enrich the understanding of how customers perceive the hotel and its services.

3. Personalized Marketing: With scraped hotel data, businesses can develop highly targeted marketing initiatives. They can tailor their advertisements to emphasize the unique features and advantages that resonate with potential guests. Understanding customer opinions and preferences through data collection enables hotels to craft marketing campaigns highlighting aspects that have garnered positive feedback. This personalized approach significantly increases the likelihood of attracting bookings from interested travelers.

Travel data scraping services enable hotels to gather critical information, refine pricing strategies, enhance brand management, and create tailored marketing efforts that align with customer preferences and market dynamics. This multifaceted approach improves competitiveness and guest satisfaction in the hospitality industry.

Guide to Extracting Hotel Listings

Begin your hotel prices web scraping projects by establishing specific objectives for each project. Clearly defined goals will guide the development of data collection queries, ensuring the extraction of relevant information. Once your goals are in place, you can initiate your project.

However, adhering to ethical practices while conducting web scraping is crucial. Best practices to extract hotel prices from websites like Google, Expedia, or Booking.com encompass:

Data Accessibility: Only scrape publicly available data.

Rate Limiting: Avoid overwhelming a website with excessive requests to prevent disruption.

Proxies: If utilizing proxies, ensure they are ethical.

Incorporating these ethical principles allows you to conduct web scraping responsibly and respectfully.

Selecting Tools, Proxies, and Strategies for Effective Hotel Data Web Scraping

When embarking on web scraping for hotel data, making informed choices about tools and methods is crucial. Here's a comprehensive guide:

1. Defining Project Goals: Begin by setting clear objectives for your web scraping project. This step helps design tailored data collection queries to obtain precisely the information you need.

2. Ethical Considerations: Always practice ethical web scraping by adhering to the following principles:

Scrape only publicly available data.

Avoid overloading websites with excessive requests to prevent disruptions.

If using proxies, ensure they are ethical.

3. Why Use a Proxy: Web scraping involves sending numerous website requests. Excessive inquiries can trigger website administrators to perceive this as an attack, potentially leading to IP address bans. A proxy serves to:

Conceal your identity.

Rotate queries to mimic human internet behavior.

Reduce the risk of IP bans.

4. Proxy Selection: Residential proxies, which link to actual residential addresses, are more challenging for websites to detect as proxies. It minimizes the risk of being banned by booking sites and other platforms.

5. Choosing a Web Scraper: Several specialized hotel scraping APIs are available for collecting hotel data. Consider factors like customer reviews and suitability for your specific needs when selecting a tool. Open-source web scrapers offer versatility for gathering data from various websites beyond industry-specific ones.

6. Building Your Scraper: For a more customized approach, you can construct a hotel data scraper using Python, a user-friendly programming language. Install Python and relevant libraries, such as Beautiful Soup and lxml, to parse data and extract relevant information.

7. Improving Your Scraper: Python also provides access to libraries like Selenium, which is ideal for handling websites with field codes and JavaScript features. Utilize rotating IP addresses in conjunction with Selenium to minimize the risk of bans.

8. Structuring Your Project: To create an effective web scraper, follow these steps:

Visit the target site and set up your desired conditions.

Copy the URL of your query and paste it into your web scraper.

Run your search and export data to a CSV file for convenient analysis.

9. Avoiding IP Bans: To prevent being flagged as a bot, take the following measures:

Rotate IP addresses using residential proxies.

Set a real user agent in your query header to mimic a legitimate browser.

Create multiple request headers with additional code, making your scraper resemble a genuine user.

Implement random delays between queries to simulate human browsing patterns.

Contact iWeb Data Scraping today to learn more! We offer comprehensive web scraping service and mobile app data scraping to meet your unique requirements. Contact us now to discuss how we can provide effective and dependable data scraping solutions.

Know More: https://www.iwebdatascraping.com/extract-hotel-prices-from-websites-like-google-expedia-or-booking-com.php

#WebScrapinghoteldata #ScrapeExpediahotelpricedata #ScrapeBookinghotelpricedata #ScrapeGooglehotelpricedata #TraveldataScrapingservices

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status200us · 4 years ago

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What is a Bot? Advantages of a Web Scraper & Crawler?

What is a Bot?

A bot is a software application that is programmed to perform a specific task. The bot is automated. That is, it will follow the instructions without the need for a human user to launch the bot. Bots often mimic or replace the behavior of human users. They usually perform repetitive tasks and are much faster than human users.

Bots typically operate over the network. More than half of Internet traffic is bots that scan content, interact with web pages, chat with users, or search for targets. Some bots are useful, such as search engine bots that index content for search and customer service bots that assist users. Other bots are "bad" and are programmed to break into user accounts, scan the web for contact information to send spam, and perform other malicious activities. I will. If you are connected to the Internet, your bot will have an IP address associated with it.

The bot looks like this:

Chatbot:

A bot that simulates human conversation by responding to a specific phrase in a programmed response.

Web Crawler (Google Bot):

A bot that scans the content of web pages across the Internet

Social bots:

bots that run on social media platforms

Malicious bots:

bots that scrape content, spread spam content, or perform credential stuffing attacks.

Web Scraper & Crawler:

Without web scraping, the internet you know wouldn't really exist. This is because Google and other major search engines rely on advanced web scrapers to retrieve the content they index. These tools enable search engines.

Of course, crawl software is used in many other applications. This includes extracting articles from websites that curate content, extracting business listings for companies that build a database of leads, and various types of data extraction, sometimes referred to as data mining. For example, one of the common and sometimes controversial uses of web scrapers is to reduce airline prices and publish them on airfare comparison sites.

An example of the power of web scraping

Some criticize certain uses of scraping software, but they are neither good nor bad in nature. Still, this technology is very powerful and influential. One of the most frequently cited examples is the accidental leak of Twitter revenue by NASDAQ in early 2015. A web crawler found the leak and posted the information on Twitter by 3 pm.

The company intended to post a press release after the market closed that day, but unfortunately, Twitter's share price had fallen 18% by the end of the day. NASDAQ, an organization that accidentally published data, admitted that it was a mistake to publish this information early. Companies that used website scraping software did not violate any conditions by scraping publicly available data.

Typical web crawling software issues

There is no doubt that web scrapers can be a powerful business tool. However, common web crawl software is very difficult to maintain and can cause problems. These are some traditional scraping and extraction tools and user problems.

RSS Scrapers:

These are usually the easiest to program and maintain. The problem is that many feeds contain only a small sample of information from the page. This solution often fails when a site moves a feed, stops updating, or updates the feed infrequently.

HTML parser:

The problem is that they rely on pages that maintain the same format. Every time the website layout changes, whether it's A / B testing or redesigning, the scraper fails and needs to be manually reprogrammed.

In other words, old-fashioned web scrapers rely on programming and rules. Best of all, they rely on the assumption that Internet files remain static. This assumption is inherently dangerous because the Internet is so dynamic. When a scraper fails, it causes downtime and requires costly and time-consuming maintenance.

Crawlbot-Alternative Web Crawler and Scraper

After wrestling with a typical internet crawler, many companies come to Diffbot for faster, more reliable, and easier solutions. Crawlbot provides a smarter solution for the dynamic and extensible web. Users don't have to worry about the structure of the site, nor do they need to specify rules using CSS selectors or XPath. This data extraction technology provides a set of tools for automatically extracting web content as structured data, either through the UI or programmatically. This tool can crawl millions of different URLs incredibly fast.

#bot #google bot #web crawler #web scraping #status200

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roguzomu-blog · 5 years ago

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Effective Strategies for Vladivostok Visa That You Can Begin to Use Today

https://ko.ivisa.com/vladivostok-visa

It gives the chance for aspiring artists and producers to acquire exposure to new audiences and leading foreign professionals. Unfortunately, residents of the majority of countries need a visa, which may occasionally be a time intensive and expensive practice. The streets have an additional opportunity to claim his life--and he has yet another opportunity to break the rules, beat the odds, and discover a means to remain alive.

The program is just one of the initiatives targeted at boosting the economy in the area. If you don't understand differently, naturally! One of the absolute most well-known purposes is tourism.

What the In-Crowd Won't Tell You About Vladivostok Visa In this instance, an invitation will be issued on the exact same day as the appliance so you can apply to the consulate in time and receive a visa quickly. It's also helpful to consult theTimaticweb systemto find the particular visa requirements. If you want to sightsee on your own you have to have a tourist visa.

Chennai formally called Madras is called the Gateway to the South. The last stop at stake, or the first if you're traveling westwards, is in Vladivostok.

Failure to create your passport when asked can result in a fine. If you're in this region, then don't miss the opportunity to delight in the festive season. There's no thorough record about how many die annually.

The very first step is to get a Russian visa invitation. In 2019, citizens from eligible countries who intend to come to Russia will have the ability to find an electronic entry visa by completing a web-based application. China also gives an obvious example.

What You Should Do to Find Out About Vladivostok Visa Before You're Left Behind When you have ordered your invitation, please click on these links to order complete visa services. Thus far, there's no very clear answer. The EHIC card can be found from ww.nhs.uk.

Applicants may fill the on-line application form by visiting the tab placed below. A Chinese ID is needed to access Net bars. Appointments may be created at any moment via the hyperlink below.

Your carriage attendant might be ready to charge items employing the socket in their very own compartment, for a little tip. Always check the most recent visa info, as it changes from time to time. The period of time for issuing an e-visa is all about 4 calendar days from the date of submission of the entire application.

Business-class hotels are situated in the administrative centre of the city. Machines have sprung up throughout the city in the past few decades, and can be discovered in the lobbies of the majority of hotels, in metro stations and, naturally, next to banks. Like all border towns there's a range of goods to purchase.

The Trans-Siberian isn't only a rail journey, it's an experience. Select which city you want to start your travels in, and which city you would love to finish in. There are a number of amazing places and tourist come here in order to find these places from all around the Earth, Zolotoy Rog Bridge is the well-known tourist attractions.

Once you pass chinese customs, the bus drives a quick quantity of time to the russian border at which you will get your bags again and need to move through russian customs. The Bridge is among the five largest cable-stayed bridges on the planet. Weather doesn't have any memory and supplies no guaranties.

| Wireless internet is offered in the full apartment at no cost. It's possible to check days of operation working with the on-line system here. No matter which of our Russian tours that you pick, we additionally guarantee the highest degree of quality and client service.

In order to acquire a visa, a foreign citizen is going to be asked to submit an application on a particular online site for a minimum of three days before the expected date of entry. Mandarin is dominant but Russian speakers aren't tricky to find. Men are often terrified of dating Russian girls since they believe that the girls need their money to keep expensive lifestyles.

The issuance has the particular information. Yes, it is digitized. This list was extracted from several sources.

Visa prices vary based on the nationality of the applicant. Visa requirements aren't as strict as other Russian ports and you're totally free to venture around all on your own. You will require a Russian visa.

Approved applicants need to earn a consular payment, but could then be eligible for a visa issued as an e-document. Moscow thinks that the elimination of short-term visas ought to be reciprocal. Foreigners entering Russia is going to be fingerprinted.

Tourism is definitely not very likely to increase because of completely free visa to a single corner of your country, particularly when the airfares are so large. Volunteering abroad in Russia can be particularly rewarding once you decide to work in education. City Day is celebrated in the start of July.

The very first step is to get a Russian visa invitation. Canada and the USA are also excluded. Apparently the government was unable to cope.

Whatever They Told You About Vladivostok Visa Is Dead Wrong...And Here's Why It gives the chance for aspiring artists and producers to acquire exposure to new audiences and leading foreign professionals. Unfortunately, residents of the majority of countries need a visa, which may occasionally be a time intensive and expensive practice. The city is a significant center of scientific research.

The program is just one of the initiatives targeted at boosting the economy in the area. If you don't understand differently, naturally! There's literally 1 option at each stage.

Business-class hotels are situated in the administrative centre of the city. You also ought to take a great general guidebook for those countries you're visiting, and perchance a Russian phrasebook, too. Like all border towns there's a range of goods to purchase.

The Ko Samui islands are ideal for romantic escapades. Russian brides are a few of the most popular that the world offers, and we've got the best of the bunch. For over three decades foreigners couldn't visit it.

| If Russian visa is issued as part of a tour voucher, its cost is going to be included in the purchase price of tourist services. Healthcare volunteer work in Russia is a remarkable approach to produce meaningful contributions and learn more about fields you're interested in. In the past few years, it has made attempts to enhance the nation's own vehicle market.

The program is just one of the initiatives targeted at boosting the economy in the area. Depending on the number of individuals are disembarking at when the procedure can take up to 45 minutes, so make certain to factor that in to make sure you make it through in time. One of the absolute most well-known purposes is tourism.

The populace of the city is almost 592,034. Moscow and Saint Petersburg provide a wide variety of museums, and you are able to see different cities as nicely with a luxurious cruise of the Volga River. Two decades later, Vladivostok became a port and started to develop.

The Ko Samui islands are ideal for romantic escapades. It was only in 1974 that foreigners were allowed to join the city. Steer clear of skinheads.

Once you pass chinese customs, the bus drives a quick quantity of time to the russian border at which you will get your bags again and need to move through russian customs. After a quick break for coffee you take a walk during the beautiful Red Square, go in the colorful St. Basil's Cathedral and learn more about the famous GUM department shop. Weather doesn't have any memory and supplies no guaranties.

Top Vladivostok Visa Secrets You don't need to be a Member to come to a HU meeting, access the site, the HUBB or maybe to obtain the e-zine. In order to acquire our assistance, you must fill in the feedback form on the web indicating foreigner's individual data. For those who have information about an orphanage or photos which we can increase the website than please don't hesitate to get in touch with us to put it to the website.

In order to acquire a visa, a foreign citizen is going to be asked to submit an application on a particular online site for a minimum of three days before the expected date of entry. A smooth Chinese visa application procedure demands clear comprehension of the step-by-step lodging procedure in addition to the required set of the documents. A smooth Russian visa application procedure calls for a very clear knowledge of the step-by-step lodging procedure in addition to the crucial set of the documents.

All we need to do is to provide us with your data and arrive at the consulate with total document collection. Always check the most recent visa info, as it changes from time to time. Its museum houses various historic military objects.

The Basics of Vladivostok Visa In summary, it's not a visa waiver but an absolutely free electronic visa granting system, and to pay a visit to Vladivostok. Visa requirements aren't as strict as other Russian ports and you're totally free to venture around all on your own. Migration cards have to be carried in any way times while in Russia.

Chennai formally called Madras is called the Gateway to the South. The last stop at stake, or the first if you're traveling westwards, is in Vladivostok.

Failure to create your passport when asked can result in a fine. If you're in this region, then don't miss the opportunity to delight in the festive season. Alternatively there's an option to remain in the city as a portion of our Freedom of Choice touring.

To know about the most recent visa news, it is better to confirm the government website of the Kaliningrad region. In 2019, citizens from eligible countries who intend to come to Russia will have the ability to find an electronic entry visa by completing a web-based application. China also gives an obvious example.

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reviewgators · 2 years ago

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How Web Scraping Is Used To Extract Expedia Travel Website Data?

The Expedia website is a popular destination for those who wish to get travel rates, vacation rentals, auto rentals, and even ideas on what to explore in the places they wish to visit. It is an aggregator service, which gathers much more information since you can book flights, and hire cars on the website, among other things. Expedia is one of your target websites if you are interested in flight costs, hotel pricing, car rental rates, and other travel-related information since it stores millions of travel-related information which you will get engaged with.

You will need to make use of Expedia travel web scrapers to streamline the process of fetching the data from various Expedia pages.

What is the Meaning of Using Expedia Scraper?

Extraction of website data is the process of mechanically extracting a huge quantity of information from a website. A similar concept is applied to scrape the Expedia Travel Data. This retrieves and organizes large volumes of flight or hotel information. When it comes to vacation specifics, there are generally a variety of possibilities.

You must examine various airports, carriers, routes, connecting flights, arrival and departure schedules, and other aspects. Furthermore, airline prices are infamous for shifting on a monthly, daily, and even hourly basis. Manually combining through all of those alternatives would be a massive undertaking that would take a long time.

Expedia does not allow web scraping since it increases server costs and is also considered data theft. However, in the eyes of the law, online scraping is legal as long as the data being scraped is publicly accessible and not protected behind credentials or other barriers.

Even without Expedia's backing, it has now become a focus for scraping through small-scale and large-scale web scrapers — including their competitors. As a result, it has spent much on technology to build up anti-scraping technologies that make it harder to scrape its information.

Reasons Behind Scraping Expedia Data

Browsing Expedia for travel information is an excellent approach to comparing airfare and hotel prices from multiple websites. However, that's only very efficient if your journey has specific parameters. So, if you know your particular period, location, airport address, and so on, you should be able to get a good offer by manually browsing the web. When you're more flexible or want to discover what the optimal time is to fly to several other alternative possibilities, you should extract that data. Otherwise, you'll be spending a lot more time doing regular searches. Even then, you will very certainly observe just a subset of the available outcomes.

The only method to ensure you receive all you want is to scrape the data from Expedia directly. The more travel alternatives you have, the better your outcomes will be. It is difficult for a human to pass through all of the information. A scraper will browse through a large number of the search results pages at once. You can tell your requirement and it will extract any matches.

Then you will have all the information you need. You may browse and filter it at your convenience, then make plans depending on where the scraper is found. Because this is a fully automated procedure, there is nothing further you must do.

Procedure to Extract Expedia Data

Scraping Expedia data necessitates using software, or a crawler, to carry out the operation. However, you do not have to create it from the bottom. There are scraping tools available that are meant to be Expedia scrapers. These applications submit requests to Expedia and then gather and arrange the results. It performs this frequently based on the information you provide. Because this technique is handled by your machine, it is considerably faster than manually sorting through the information. Essentially, you describe the specifications of the information you want to find. The Expedia scraper then begins requesting and collecting the relevant data.

The data is then returned as output, which you may browse, organize, and filter as desired. All of the information you requested is included in the findings. Any information viewed by the public on Expedia can be captured and displayed in your scraping outcomes. This allows users a lot of flexibility in specifying the actual details that they want for their activity. This also prevents the results from containing a variety of results that you do not require.

To create a web scraper for scraping Expedia, you may use any Turing complete programming language, but in this post, here you will select Python because it is the most common programming language for scraper building, especially for beginners. To speed up the development process when scraping Expedia, you will need to employ third-party libraries. We propose using Requests to send HTTP requests and BeautifulSoup to parse data.

You cannot scrape Expedia without being barred unless you defeat the Expedia anti-spam system, which includes anti-scraping protection. Unlike pre-made scrapers, which do not require you to worry regarding blocks, creating a custom extractor requires you to incorporate anti-block tactics; otherwise, you will be banned after extracting from a few websites. This is due to Expedia's usage of IP monitoring to detect an unusually high number of queries originating from the very same IP address in a short amount of time.

To get rid of this, you will need to employ rotating proxies as many queries won’t have the same IP address. Residential proxies, from ReviewGators, are suggested because they are untraceable by Expedia anti-spam system. It is also critical to spin the user agent, randomly select the time between requests, and spin other header values so that the anti-spam system cannot determine that you are using a crawler.

Conclusion

A typical user is unlikely to scrape Expedia or utilize an Expedia proxy. However, it is a strong technique to get a large amount of data in a short period to make more educated judgments regarding any future trip plans. There is no way to ensure that scraping Expedia data will always function, however, using one of the Expedia proxies reduces the risk. Proxies with rotating IPs, paired with a proper scraping application, such as ReviewGators, will assist you in obtaining all you want from Expedia. Of course, a proxy might also be used for manual surfing.

For more details, you can contact ReviewGators today!

Request for a quote!

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3idatascraping · 3 years ago

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Flight Price Monitoring Service

Travelers must be convinced that they are getting a decent value when purchasing a flight. The Flight Price Monitoring API compares current flight prices to historical fares using an Artificial Intelligence system of historical flight booking data. It displays how a current flight price fits into a distribution of past airfare costs more precisely.

We employed machine learning to Airline Data Scraper because extracting flight pricing metrics through aggregation techniques and business intelligence tools alone could lead to inaccurate conclusions — for example, in circumstances where there are insufficient data points to compute precise price statistics. This is a beautiful approach to interpolate missing data and forecast prices that are consistent. Furthermore, the use of state-of-the-art Explainable AI algorithms to confirm the forecast decisions.

Read More: Flight Price Monitoring Service

#Flight Price Monitoring #Flight Price Intelligence #Flights Price Scraping #Flight Pricing Scraper #Flights Data Scraping #flight data extraction #3i Data Scraping

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iwebdatascrape · 1 year ago

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How to Extract Hotel Prices from Websites like Google, Expedia, or Booking.com?

How To Extract Hotel Prices From Websites Like Google, Expedia, Or Booking.Com?

List of Data Fields

Hotel names, addresses, and phone numbers

Room types and rates

Date

Facilities and amenities

Star ratings

Customer reviews

Promotional deals from booking sites

Seasonal rates at different hotels

Sale information

List of Travel Websites

How to Use the Data Scraped from Travel Websites?

Guide to Extracting Hotel Listings

However, adhering to ethical practices while conducting web scraping is crucial. Best practices to extract hotel prices from websites like Google, Expedia, or Booking.com encompass:

Data Accessibility: Only scrape publicly available data.

Rate Limiting: Avoid overwhelming a website with excessive requests to prevent disruption.

Proxies: If utilizing proxies, ensure they are ethical.

Incorporating these ethical principles allows you to conduct web scraping responsibly and respectfully.

Selecting Tools, Proxies, and Strategies for Effective Hotel Data Web Scraping

When embarking on web scraping for hotel data, making informed choices about tools and methods is crucial. Here's a comprehensive guide:

1. Defining Project Goals: Begin by setting clear objectives for your web scraping project. This step helps design tailored data collection queries to obtain precisely the information you need.

2. Ethical Considerations: Always practice ethical web scraping by adhering to the following principles:

Scrape only publicly available data.

Avoid overloading websites with excessive requests to prevent disruptions.

If using proxies, ensure they are ethical.

Conceal your identity.

Rotate queries to mimic human internet behavior.

Reduce the risk of IP bans.

8. Structuring Your Project: To create an effective web scraper, follow these steps:

Visit the target site and set up your desired conditions.

Copy the URL of your query and paste it into your web scraper.

Run your search and export data to a CSV file for convenient analysis.

9. Avoiding IP Bans: To prevent being flagged as a bot, take the following measures:

Rotate IP addresses using residential proxies.

Set a real user agent in your query header to mimic a legitimate browser.

Create multiple request headers with additional code, making your scraper resemble a genuine user.

Implement random delays between queries to simulate human browsing patterns.

Know More: https://www.iwebdatascraping.com/extract-hotel-prices-from-websites-like-google-expedia-or-booking-com.php

#WebScrapinghoteldata #ScrapeExpediahotelpricedata #ScrapeBookinghotelpricedata #ScrapeGooglehotelpricedata #TraveldataScrapingservices

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datascrapingservices-blog · 6 years ago

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=> Daily Flight Fares Scraping from Lastminute.com

- Scraping Flight Schedules - Airport and Airline Data List - Scrape List of Travels/ Airlines on Daily Basis - Cheap Flight Tickets | Lowest Airfare and Flight Deals - Scrape Price Comparison Sites | Tickets Price Data List - Scrape Flights and Hotels Deal, Online Hotels & Flights Pricing - Scrape Data List of Cheap Flights,Hotels,Holidays and Travels - Airlines, Hotels and Car Rental Agencies Database List - Price Comparison Travel Sites | Travels Agencies Email List - Scrape Cheap Flights - Search and Compare Flights Pricing List - Scrape Compare Cheap Holiday Prices & Deals Database List - Flights & Hotels Deals | Cheap Hotels | Online Booking Sites - Scrape Flights & Hotels Deals - Compare Flight and Hotel Packages

For similar work requirements feel free to email us on [email protected].

http://www.logicwis.com/daily-flight-fares-scraping-from-lastminute-com/

#data #database #data scraping #data scraping services #web data scraping #website data scraping #Extract Data from Amazon Prime - Data Scraping Services #webdatascraping #datascrapingservices #websitedatascraping #DataScrapingServices | WebScrapingServices | WebsiteScrapingServices | EmailScrapingServices | WebsiteDataScraping

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newstfionline · 8 years ago

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How Online Shopping Makes Suckers of Us All

By Jerry Useem, The Atlantic, April 18, 2017

As Christmas approached in 2015, the price of pumpkin-pie spice went wild.

It didn’t soar, as an economics textbook might suggest. Nor did it crash. It just started vibrating between two quantum states. Amazon’s price for a one-ounce jar was either $4.49 or $8.99, depending on when you looked. Nearly a year later, as Thanksgiving 2016 approached, the price again began whipsawing between two different points, this time $3.36 and $4.69.

We live in the age of the variable airfare, the surge-priced ride, the pay-what-you-want Radiohead album, and other novel price developments. But what was this? Some weird computer glitch? More like a deliberate glitch, it seems. “It’s most likely a strategy to get more data and test the right price,” Guru Hariharan explained, after I had sketched the pattern on a whiteboard.

The right price--the one that will extract the most profit from consumers’ wallets--has become the fixation of a large and growing number of quantitative types, many of them economists who have left academia for Silicon Valley. It’s also the preoccupation of Boomerang Commerce, a five-year-old start-up founded by Hariharan, an Amazon alum. He says these sorts of price experiments have become a routine part of finding that right price--and refinding it, because the right price can change by the day or even by the hour. (Amazon says its price changes are not attempts to gather data on customers’ spending habits, but rather to give shoppers the lowest price out there.)

It may come as a surprise that, in buying a seasonal pie ingredient, you might be participating in a carefully designed social-science experiment. But this is what online comparison shopping hath wrought. Simply put: Our ability to know the price of anything, anytime, anywhere, has given us, the consumers, so much power that retailers--in a desperate effort to regain the upper hand, or at least avoid extinction--are now staring back through the screen. They are comparison shopping us.

They have ample means to do so: the immense data trail you leave behind whenever you place something in your online shopping cart or swipe your rewards card at a store register, top economists and data scientists capable of turning this information into useful price strategies, and what one tech economist calls “the ability to experiment on a scale that’s unparalleled in the history of economics.” In mid-March, Amazon alone had 59 listings for economists on its job site, and a website dedicated to recruiting them.

Not coincidentally, quaint pricing practices--an advertised discount off the “list price,” two for the price of one, or simply “everyday low prices”--are yielding to far more exotic strategies.

“I don’t think anyone could have predicted how sophisticated these algorithms have become,” says Robert Dolan, a marketing professor at Harvard. “I certainly didn’t.” The price of a can of soda in a vending machine can now vary with the temperature outside. The price of the headphones Google recommends may depend on how budget-conscious your web history shows you to be, one study found. For shoppers, that means price--not the one offered to you right now, but the one offered to you 20 minutes from now, or the one offered to me, or to your neighbor--may become an increasingly unknowable thing. “Many moons ago, there used to be one price for something,” Dolan notes. Now the simplest of questions--what’s the true price of pumpkin-pie spice?--is subject to a Heisenberg level of uncertainty.

Which raises a bigger question: Could the internet, whose transparency was supposed to empower consumers, be doing the opposite?

If the marketplace was a war between buyers and sellers, the 19th-century French sociologist Gabriel Tarde wrote, then price was a truce. And the practice of setting a fixed price for a good or a service--which took hold in the 1860s--meant, in effect, a cessation of the perpetual state of hostility known as haggling.

As in any truce, each party surrendered something in this bargain. Buyers were forced to accept, or not accept, the one price imposed by the price tag (an invention credited to the retail pioneer John Wanamaker). What retailers ceded--the ability to exploit customers’ varying willingness to pay--was arguably greater, as the extra money some people would have paid could no longer be captured as profit. But they made the bargain anyway, for a combination of moral and practical reasons.

The Quakers--including a New York merchant named Rowland H. Macy--had never believed in setting different prices for different people. Wanamaker, a Presbyterian operating in Quaker Philadelphia, opened his Grand Depot under the principle of “One price to all; no favoritism.” Other merchants saw the practical benefits of Macy’s and Wanamaker’s prix fixe policies. As they staffed up their new department stores, it was expensive to train hundreds of clerks in the art of haggling. Fixed prices offered a measure of predictability to bookkeeping, sped up the sales process, and made possible the proliferation of printed retail ads highlighting a given price for a given good.

Companies like General Motors found an up-front way of recovering some of the lost profit. In the 1920s, GM aligned its various car brands into a finely graduated price hierarchy: “Chevrolet for the hoi polloi,” Fortune magazine put it, “Pontiac … for the poor but proud, Oldsmobile for the comfortable but discreet, Buick for the striving, Cadillac for the rich.” The policy--”a car for every purse and purpose,” GM called it--was a means of customer sorting, but the customers did the sorting themselves. It kept the truce.

Customers, meanwhile, could recover some of their lost agency by clipping coupons--their chance to get a deal denied to casual shoppers. The new supermarket chains of the 1940s made coupons a staple of American life. What the big grocers knew--and what behavioral economists would later prove in detail--is that while consumers liked the assurance the truce afforded (that they would not be fleeced), they also retained the instinct to best their neighbors. They loved deals so much that, to make sense of their behavior, economists were forced to distinguish between two types of value: acquisition value (the perceived worth of a new car to the buyer) and transaction value (the feeling that one lost or won the negotiation at the dealership).

The idea that there was a legitimate “list price,” and that consumers would occasionally be offered a discount on this price--these were the terms of the truce. And the truce remained largely intact up to the turn of the present century. The reigning retail superpower, Walmart, enforced “everyday low prices” that did not shift around.

But in the 1990s, the internet began to erode the terms of the long peace. Savvy consumers could visit a Best Buy to eyeball merchandise they intended to buy elsewhere for a cheaper price, an exercise that became known as “showrooming.” In 1999, a Seattle-based digital bookseller called Amazon.com started expanding into a Grand Depot of its own.

The era of internet retailing had arrived, and with it, the resumption of hostilities.

In retrospect, retailers were slow to mobilize. Even as other corporate functions--logistics, sales-force management--were being given the “moneyball” treatment in the early 2000s with powerful predictive software (and even as airlines had fully weaponized airfares), retail pricing remained more art than science. In part, this was a function of internal company hierarchy. Prices were traditionally the purview of the second-most-powerful figure in a retail organization: the head merchant, whose intuitive knack for knowing what to sell, and for how much, was the source of a deep-seated mythos that she was not keen to dispel.

Two developments, though, loosened the head merchant’s hold.

The first was the arrival of data. Thomas Nagle was teaching economics at the University of Chicago in the early 1980s when, he recalls, the university acquired the data from the grocery chain Jewel’s newly installed checkout scanners. “Everyone was thrilled,” says Nagle, now a senior adviser specializing in pricing at Deloitte. “We’d been relying on all these contrived surveys: ‘Given these options at these prices, what would you do?’ But the real world is not a controlled experiment.”

The Jewel data overturned a lot of what he’d been teaching. For instance, he’d professed that ending prices with .99 or .98, instead of just rounding up to the next dollar, did not boost sales. The practice was merely an artifact, the existing literature said, of an age when owners wanted to force cashiers to open the register to make change, in order to prevent them from pocketing the money from a sale. “It turned out,” Nagle recollects, “that ending prices in .99 wasn’t big for cars and other big-ticket items where you pay a lot of attention. But in the grocery store, the effect was huge!”

The effect, now known as “left-digit bias,” had not shown up in lab experiments, because participants, presented with a limited number of decisions, were able to approach every hypothetical purchase like a math problem. But of course in real life, Nagle admits, “if you did that, it would take you all day to go to the grocery store.” Disregarding the digits to the right side of the decimal point lets you get home and make dinner.

By the early 2000s, the amount of data collected on retailers’ internet servers had become so massive that it started exerting a gravitational pull. That’s what triggered the second development: the arrival, en masse, of the practitioners of the dismal science.

This was, in some ways, a curious stampede. For decades, academic economists had generally been as indifferent to corporations as corporations were to them. (Indeed, most of their models barely acknowledged the existence of corporations at all.)

But that began to change in 2001, when the Berkeley economist Hal Varian--highly regarded for the 1999 book Information Rules--ran into Eric Schmidt. Varian knew him but, he says, was unaware that Schmidt had become the CEO of a little company called Google. Varian agreed to spend a sabbatical year at Google, figuring he’d write a book about the start-up experience.

At the time, the few serious economists who worked in industry focused on macroeconomic issues like, say, how demand for consumer durables might change in the next year. Varian, however, was immediately invited to look at a Google project that (he recalls Schmidt telling him) “might make us a little money”: the auction system that became Google AdWords. Varian never left.

Others followed. “eBay was Disneyland,” says Steve Tadelis, a Berkeley economist who went to work there for a time in 2011 and is currently on leave at Amazon. “You know, pricing, people, behavior, reputation”--the things that have always set economists aglow--plus the chance “to experiment at a scale that’s unparalleled.”

At first, the newcomers were mostly mining existing data for insights. At eBay, for instance, Tadelis used a log of buyer clicks to estimate how much money one hour of bargain-hunting saved shoppers. (Roughly $15 was the answer.)

Then economists realized that they could go a step further and design experiments that produced data. Carefully controlled experiments not only attempted to divine the shape of a demand curve--which shows just how much of a product people will buy as you keep raising the price, allowing retailers to find the optimal, profit-maximizing figure. They tried to map how the curve changed hour to hour. (Online purchases peak during weekday office hours, so retailers are commonly advised to raise prices in the morning and lower them in the early evening.)

By the mid-2000s, some economists began wondering whether Big Data could discern every individual’s own personal demand curve--thereby turning the classroom hypothetical of “perfect price discrimination” (a price that’s calibrated precisely to the maximum that you will pay) into an actual possibility.

As this new world began to take shape, the initial consumer experience of online shopping--so simple! and such deals!--was losing some of its sheen.

It’s not that consumers hadn’t benefited from the lower prices available online. They had. But some of the deals weren’t nearly as good as they seemed to be. And for some people, glee began to give way to a vague suspicion that maybe they were getting ripped off. In 2007, a California man named Marc Ecenbarger thought he had scored when he found a patio set--list price $999--selling on Overstock.com for $449.99. He bought two, unpacked them, then discovered--courtesy of a price tag left on the packaging--that Walmart’s normal price for the set was $247. His fury was profound. He complained to Overstock, which offered to refund him the cost of the furniture.

But his experience was later used as evidence in a case brought by consumer-protection attorneys against Overstock for false advertising, along with internal emails in which an Overstock employee claimed it was commonly known that list prices were “egregiously overstated.”

In 2014, a California judge ordered Overstock to pay $6.8 million in civil penalties. (Overstock has appealed the decision.) The past year has seen a wave of similar lawsuits over phony list prices, reports Bonnie Patten, the executive director of TruthinAdvertising.org. In 2016, Amazon began to drop most mentions of “list price,” and in some cases added a new reference point: its own past price.

This could be seen as the final stage of decay of the old one-price system. What’s replacing it is something that most closely resembles high-frequency trading on Wall Street. Prices are never “set” to begin with in this new world. They can fluctuate hour to hour and even minute to minute--a phenomenon familiar to anyone who has put something in his Amazon cart and been alerted to price changes while it sat there. A website called camelcamelcamel.com even tracks Amazon prices for specific products and alerts consumers when a price drops below a preset threshold. The price history for any given item--Classic Twister, for example--looks almost exactly like a stock chart. And as with financial markets, flash glitches happen. In 2011, Peter A. Lawrence’s The Making of a Fly (paperback edition) was briefly available on Amazon for $23,698,655.93, thanks to an algorithmic price war between two third-party sellers that had run amok.

#online shopping #online retail #online pricing #variable pricing #list price #cost of pumpkin pie spice

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evoldir · 7 years ago

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Other: Apply.For.PhylotasticHackathon.Aug8-11

Dear evoldir community— We invite interested scientists, programmers and educators to apply for a 4-day hackathon centered on leveraging resources of the Phylotastic project, including its graphical web portal, its suite of web services, and its toolbox code. An implicit promise of the Tree of Life project is that, ultimately, expert knowledge of species phylogeny will be accessible and usable by everyone. The Phylotastic project (http://bit.ly/2d6GnFN) aims to meet this challenge with a sustainable ecosystem of open web services providing access to dispersed resources covering the tree of life and related knowledge of taxonomy, characters, and biodiversity. The system includes over 20 web services for operations such as reconciling names, managing lists of taxa, getting trees, finding images, and so on. Workflows based on these services can be invoked with toolbox code in various programming languages. The Phylotastic web portal (access via http://bit.ly/2d6GnFN) illustrates on-the-fly delivery of species trees based on web services that extract taxon names from electronic sources, find topologies from available supertrees, scale them by time, harvest images and other data, and render the results graphically. This tool is suitable for use in developing lesson plans about phylogeny for students in both K-12 and in universities. The purpose of the hackathon, which will take place August 8 to 11, 2017 at NIMBioS (Knoxville, TN), is to stimulate further developments that add to this system or leverage it to support research, education, or public appreciation of science. The targets of the hackathon are not determined in advance: projects and teams will emerge in a bottom-up participatory process. Examples of suitable projects would be to embed Phylotastic functionality into existing tools (e.g., tree-viewers, apps of any kind that generate or use taxon lists), to build new clients (e.g., phylogeny-learning games, tools to populate EOL taxon pages with trees), to develop classroom exercises, and so on. We welcome big-picture ideas like developing a system to gather, cross-map and disseminate phyloreferences, or using available tools to evaluate robustness and coverage of OpenTree's resources. Whether you are a researcher, a curator, an educator, or something else, we encourage you to apply for participation: our goal is a collaborative environment welcoming the contributions of all. Support for airfare, lodging and meals will be provided. To apply, use the online form at http://bit.ly/2qAXuDk to provide brief descriptions of your ideas, your skills and your domain knowledge. Members of underrepresented groups are especially encouraged to apply. Further information is available at http://bit.ly/2qMyMSc. Applications are due June 16, 2017. We encourage pre-application questions, which may be directed to Arlin Stoltzfus ([email protected]), Enrico Pontelli ([email protected]), Brian O'Meara ([email protected]) or Dmitry Mozzherin ([email protected]). Arlin Stoltzfus ([email protected]) Research Biologist, NIST; Fellow, IBBR; Adj. Assoc. Prof., UMCP IBBR, 9600 Gudelsky Drive, Rockville, MD, 20850 tel: 240 314 6208; web: www.molevol.org Arlin Stoltzfus via Gmail

#EvolDir

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unixcommerce · 6 years ago

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AI Amongst Latest Trends in Employee Expense Reimbursements

Small Businesses implementing AI to make employee reimbursement decisions achieve 100 percent visibility, contrasting with 2-10 percent for businesses that don’t have this ability. Those are just two of the findings from AppZen’s, “The State of AI in Business Spend” report.

Employee Expense Reimbursement Trends

Small Business Trends contacted Anant Kale, CEO of AppZen, to find out more about the trends affecting employee expense reimbursements.

Technology Moves Beyond Mere Automation

“The latest trend in T&E (travel and expenses) is that technology is finally maturing enough to be useful and effective for modern finance teams,” he wrote in an email also stressing how this situation has changed.

“In previous years, technologies like automation were helpful to a point but did not allow finance departments to enable themselves to make smarter decisions about T&E and free them up to work on larger, more strategic initiatives and projects for the company.”

AI Adoption Streamlines Auditing

One of the results to adopting AI is a streamlined auditing process. Non-AI enabled auditing departments take around two weeks to reimburse any employee expenses. The report found that half of the businesses using AI completed an expense report and approved it within four hours.

Kale further clarifies why this trend is important:

“Artificial intelligence (AI) tools can help your auditing team gain visibility into business spend to find duplicate receipts, spending that does not comply with company policy or common sense use of company funds, meals or gifts to politically-exposed individuals.”

Deep Learning Solves Complex Problems

He goes on to say that good AI should have three features when it comes to employee expense reimbursements.

“The first is deep learning which is the ability to solve complex problems based on high volumes of training data. The second is computer vision which is the ability to extract knowledge from digital images as inputs for the purpose of making decisions. The third is semantic analysis which is when AI uses rational sets of logic to reason and come to its own conclusions.”

Some Expenses Still Flagged High Risk

The report also found that while there were only 10% of expenses that were flagged as high risk in Q4 2018, they accounted for one-third of the total dollar value for all expenses.

According to Kale, setting guidelines around travel expenses should be at the top of a small business list. The report highlights expense averages that make a difference for small businesses looking to reference what they might and might not want to include.

Businesses Become Clearer About Policies

A well-defined policy communicates what employees can and cannot reimburse,” he writes. “This will ultimately help your company save money and achieve predictable financial results.”

Most businesses are clear about policies surrounding things like hotel and airfare expenses, but the report found some gray areas like the fact that 46% of companies reimburse for gifts and 39% for golf.

Only 16% of the respondents reimbursed for room service while 41% covered cell phone expenses. Some of the more wasteful spends included gambling losses and strip clubs.

The “The State of AI in Business Spend” gathered data from nearly one thousand AppZen enterprise customers across a variety of industries from October 1 through December 31, 2018.

Image: Shutterstock

This article, “AI Amongst Latest Trends in Employee Expense Reimbursements” was first published on Small Business Trends

https://smallbiztrends.com/

The post AI Amongst Latest Trends in Employee Expense Reimbursements appeared first on Unix Commerce.

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#IFTTT #WordPress

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terrancedkennedy · 7 years ago

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What I Think About When Thinking About Mexican Rates

Ok stick with me gang--I'm sorry to go deep on Mexico again but I think it is worth a drill down. Those of us that pay attention to these things can extract value by doing this type of analysis independently rather than taking the sell-side analysts at their word, given their incentives to not stray too far from the herd. You can come up with some fascinating conclusions and outliers with a little elbow grease--my next step here will be to run this past a few EM watchers and see what I might be missing.

As I noted last week, Mexican local rates rose dramatically in reaction to a spike in CPI, one which was driven in part by the depreciation of the peso.

Today, rates have rallied well off the highs, but are still sticky at levels above late 2016 levels, both in absolute terms and relative to US rates. For its part, MXN has come all the way back thanks to a weak dollar, EM inflows and higher local rates.

My thesis is that these rates can continue to come down because Banxico can, and will, cut the overnight rate aggressively in 2018. I believe markets are underestimating the magnitude of a rate cut in the same way they underestimated the size of the hiking cycle.

First is this chart. There is an output gap, and one that I don’t think is going to be soaked up by tepid US demand in the manufacturing sector (note the channel cramming in the auto industry), or domestic demand when interest rates are high and there is uncertanty around the 2018 election.

Similarly, we see that real interest rates are high--Banxico hiked aggressively to stabilize the peso during the EM selloff and Trump-mania.

A more “neutral” real rate, as much as I hate that term, is likely to be around that 2% level--that is still high by historical standards and stands as a relatively conservative estimate given the 5y5y real rate in the US is still well below 1%.

This chart also shows that breakevens have been falling consistently since the US election as “Trump-flation” trade unwinds. While Mex breakevens have been falling too, they are still at elevated levels. As I noted last week I think there is at least 25bps in value in nominal curve built into the breakeven rate (roughly from 3.75% to 3.5%).

What makes me so sure that breakevens aren’t permanently higher given headline is currently above 6%? Among other things, wages haven’t shown any sign of secondary impact from that inflation shock--in fact, quite the opposite. This aruges that businesses are recognizing this spike in inflation as transitory and underlying inflation probably isn’t too far from Banxico’s 3% target.

Next is a similar chart from Banxico for inflation. They expect inflation to top out this quarter and come down relatively fast until it reaches the 3% inflation target in late 2018.

I agree with their path here, in fact I think it could come in on the low side. Let’s look under the hood of the Mexico CPI figures.

A big portion of the increase in inflation came from a hike in gas prices back in January. This was big enough to bring people in the streets in protest. The chart below shows the increase in gas prices alone--not counting second-round effects--has driven headline CPI roughly 1% higher (this is the “incidence”, the increase in the price times the weight in the index). Similar hikes in LP, natural gas, and electricity have had an effect too. Note that all four are near cyclical highs.

Another indirect impact from higher electricity prices is built into the producer price index: industrial, commercial and residential prices. Industrial prices have skyrocketed as the government passes along higher fuel prices and pressures heavy users to increase conservation measures. Just as importantly, commerical electric rates were up over 7%. More on that later.

Three big stories here:

After a history of gas subsidies, gas prices will be set by the market throughout the country by the end of the year, and international companies are now free to open service stations to compete with state-owned Pemex. There are some new independent stations that are already selling gas cheaper than Pemex stations, and several international service chains have big plans to expand. This effect combined with lower oil prices could result in 5-10% lower gas prices nationwide.

The electric industry is in the process of deregulation. Outside capital is coming into the market, and the industry in is in the process of switching from dirty, expensive oil, to cheap, clean natural gas. The recent spike in electricity prices is likely to swing negative in the near future.

Natural gas is also undergoing a transformation. Thousands of miles of pipelines are going live this year and next to import cheap US natural gas. Again, the price increases here are unlikely to be structural.

Government controled tarriffs are another big element of CPI. As the name implies, these are prices that are controled by the federal government. One of the big ones here is hikes in public transportation prices. This is a total one-off, and as the historical chart implies, is unlikely to be repeated.

Moving on to “core”--Merchandise inflation has contributed over 2% to headline inflation. I see this as a mean-reversion--the still slow economy and MXN coming back to mid-2016 levels will cause this component of CPI to head back towards the historical mean, if not below.

Similarly, the contribution of services inflation to headline CPI is also near historical highs. This is particularly unsual given the low wage hikes over the last year. No big outliers here but given the strength in MXN I think this is another sector that can mean revert, with downside in areas like education, restaurants, airfares, and tourist packages.

Putting it all together--I’ve noted below what I think are conservative estimates for how much inflation can revert from each sector.

Some of this analysis I owe to a paper written by Federico Kochen and Daniel Samano for Banxico. They estimate between 43bps and 73bps in “pass through” inflation from changes in the usd/mxn rate. My estimates for a reversion in CPI that “unwinds” the impact from the peso deval of 2016 and early 2017 is broadly consistent with their figures.

They also had data to show there was a 7.2bp “pass through” to headline CPI from a 1% change in the producers’ electricity price index. Given the 7.3% YoY increase in commercial electricity prices, I’ve attributed a 50bp decrease in the headline CPI rate should electricity prices remain flat over the next twelve months--again, given the impact of reforms and lower natgas prices, I think this is a convervative estimate.

There you have it--what I believe is a plausible forecast that would get inflation back to 3% by mid-to-late 2018, and largely due to structural factors, while one-offs are unwinding. I would allow that the 50bps in electricity PPI might double count some of the factors I account for individually, but I estimated conservatively to allow for that.

What would 3% CPI in 2018 mean for rates? First breakevens would fall by at least 25bps. More importantly, I think Banxico would cut aggressively, consistent with the charts showing a stronger MXN, high current ex-ante real rate and negative output gap. If we were to assume a 2% real rate combined with 3-3.5% medium term inflation, it would not be out of the question to see the overnight rate cut to 5.5% from the current level of 6.75% (or 7%, if Banxico pulls the trigger on a 25bp hike tomorrow). With the entire TIIE curve gravitating around the 7% level, we might see another 50bp move lower if the market buys into the easing cycle.

Certainly the Fed and the presidential election are risks. The election is particularly tricky, because it is tough to see Banxico cutting aggressively in front of that event in July 2018. But what I think is the real driver here is the reluctance of investors that got burned over the past year to buy into the idea that rates can come back down, especially with structural reforms bearing fruit, listless growth, and commodity prices grinding lower. We’ve seen it happen already in Brazil and Colombia--next it will be Mexico’s turn to cut.

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hicinko-blog · 7 years ago

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IMPORTANCE OF REVIEWS FOR ONLINE BUSINESSES

In today’s day and age reviews can be very crucial, not just for any particular business but for every business. How? Yes, the dramatic question arises i.e. is how? And the answer to that is that there has been an entry of data oriented businesses and lead oriented business in the market in a very gigantic way and like any other business; reviews prove to be very significant for them. As we know, that how big a leap technology has taken and what it means in today’s times and the effect can be seen on the businesses, especially the online ones.

Aspects

So, there are many aspects to the business which depend on one of the widest phenomenon which is currently there on the planet: internet. One aspect of internet is to increase one’s business potential through reviews and there are many sites present on the internet which offer its services to people to express their opinion and experiences about any business through writing or posting a review. However insignificant it may sound but it is true. It does have an impact.

The Story

Let’s understand this through a story. So, the story goes like this that one day there were two friends Pierre and James who were looking for an online site where they could book there flight tickets online.

So, they searched the internet and found two different sites which promised to sell online flight tickets at the cheapest airfares. Pierre booked through one and James used another website for booking online tickets. What happened that Pierre got the same deal at a much cheaper price whereas James got it at approximately 20% higher price which was totally unacceptable for him. He felt cheated.

So, he decided that he would be doing what he could do as a customer given the circumstances. Certainly, he could not charge back as the deal had been closed and the option of suing was long gone in the past. So, he went to their website and posted a review about the agency using his freedom of speech and he did the same on many other reviewing sites as well about that particular agency. Interestingly, what he found out was that there were many reviews of the same travel agency which were listed on the websites. Some were bad and some were good too and he observed another peculiar thing and it was that the reviews had the power to influence the decisions of other people as well. On some reviews there were likes and on the negative reviews there were negative comments of people agreeing with the reviewer that how bad the certain company was and how good a certain company was in terms of providing its services. It was all about the experience of the customer.

The Conclusion

With this we can extract certain important points as our conclusion regarding the importance of reviews:

· Reviewing is crucial for businesses.

· Reviewing can help and win first time customers.

· It is imperative for overall sales strategy.

· It can prove to be helpful in doing conversions for the business.

These are some of the subtle yet impactful characteristics of the power of reviewing and expressing one’s opinion on the internet regarding a particular product or service.

#reviews #busines #online business #profits #internet #airfare

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euro3plast-fr · 8 years ago

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Use your data to build a better experience

Delayed flights. Lost luggage. Sketchy cab rides. Noisy hotel guests. For many years, Marriott has understood that the travel struggles are real. But it’s only recently that they’ve found ways to ease the pain with data. Their solution: Collecting, harnessing, and redeploying customer information from all along the travel journey—far beyond the hotel stay itself. By amassing a wide range of data from vacation searches, flight bookings, car rentals, cruises, hotel check-ins, room service, spa treatments, and more, Marriott has developed a series of “predictable data points” for each of its guests, whether they’re first-time visitors or loyal members of the rewards program.

Travel stress is introduced by unknowns. So Marriott extracts the “data points” inside each traveler’s head—the fight she always takes or the coffee shop he always visits—and preloads that information into its data platform. From there, Marriott finds ways to wrap each customer experience in the predictable data points that customers prefer. It could be something simple and delightful, like serving black coffee to a guest who always takes her coffee black—before she even has to ask. Or it could be something even more potentially stress-saving, like offering early check-in to a guest who always comes in on the red eye.

Customer insights, such as the predictable data points Marriott gathers, are at the heart of effective personalization. And the first step toward gaining this deep insight is to know who your customers and prospects are across every touchpoint in their unique travel journeys—not just at the points where they’ll encounter your brand. This means connecting with them from the moment they start imagining a trip all the way until they get back home and share their travel photos.

Online travel agencies like Expedia, Orbitz, and Travelocity, as well as meta-search sites like Kayak, already touch travelers at many points along their journeys. Because they’ve built a more holistic view of the traveler than most traditional travel brands, they’re able to offer solutions from airfare and hotels to car rentals and vacation activities, all from a single site. Traditional travel brands, on the other hand, have some catching up to do.

Creating a truly holistic view of the traveler requires gathering and linking data from disparate sources, including opt-in data from your own CRM system, data from your company’s call center interactions, booking flow metrics, purchase data, customer data from social applications, and comprehensive device usage data information from data co-ops.17 Equipped with all this customer intelligence, you’ll be better able to connect with travelers across their journeys—not only in the places you typically interact with them, but anywhere and everywhere they go.

But it only works if all your users understand the data and can act on it. “This is where our industry falls flat,” says Ahmed El-Emam, a digital strategist at WestJet. ˝The answer, he explains, is to shift from traditional “systems of record,” which focus on processes, to “systems of engagement,” which focus on people. By integrating customer data with new mobile and social technologies, systems of engagement help brands deliver experiences in the precise moment that travelers need them—like combining app and location context to know when a guest has entered your hotel and wants to check in, and even when she’s made it to her room and may want to order room service.

“This isn’t just a marketing function,” says El-Emam. “It’s about where data is stored, how you access it, how to integrate systems, and how to provide data transparency throughout the organization. It’s about how to surface information and make it actionable.”

Building a more complete view of the customer also allows travel brands to build models that can predict future customer behavior and responses—so you don’t have to guess which offer will resonate with which traveler. Use of new cognitive technologies takes this predictive marketing to all-new levels. With the IBM Watson platform, for instance, predictive insights aren’t just based on historical and transactional data, but also on psychographic insights about what customers are thinking, feeling, and saying.

Because Watson understands languages, learns as it processes information, and can actually reason a lot like humans do, the platform can make sense of unstructured data from the social sphere—like words a customer commonly uses on Facebook and Twitter. Correlating this social data with the National Psychiatric Index personality scale, Watson can help brands understand a traveler’s unique personality, from how agreeable a customer may be to how stressed out he’s likely to get. Equipped with insights like these, you can understand customers like never before and better imagine what a unique experience would look like for each of them—so you can provide one-to-one experiences that truly fit the way they think, feel, act, and live.

To learn how to build a complete view of travelers so you can find new ways to connect with them throughout their travel journeys, read “The Beauty of Integration.”

The post Use your data to build a better experience appeared first on Digital Marketing Blog by Adobe.

from Digital Marketing Blog by Adobe https://blogs.adobe.com/digitalmarketing/web-experience/use-your-data-to-build-a-better-experience/

#Digital Marketing Blog by Adobe

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mccullytech · 8 years ago

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Use your data to build a better experience

To learn how to build a complete view of travelers so you can find new ways to connect with them throughout their travel journeys, read “The Beauty of Integration.”

The post Use your data to build a better experience appeared first on Digital Marketing Blog by Adobe.

from Digital Marketing Blog by Adobe https://blogs.adobe.com/digitalmarketing/web-experience/use-your-data-to-build-a-better-experience/

#Digital Marketing Blog by Adobe

0 notes