#scrape Facebook Advertising Data

[realdataapi1]

Facebook Ads Data Scraper | Scrape Facebook Advertising Data

Use our Facebook Ads Data Scraper to Scrape advertising data from one or multiple Facebook Pages. You can obtain page details, reach estimates, publisher platforms, report count, number of impressions, ad IDs, timestamps, and more.

[walks-the-ages]

[ID: a link preview of a stock image coffee table with a laptop with the facebook logo on the screen with text on top that says 'anyone who used facebook in the last 16 years can now get settlement money. here's how." end ID]

-USA Residents Only-

Time Sensitive- Apply before August 25th, 2023 (8/25/23)!

Filing a claim takes less than ten minutes, and can be done HERE

Excerpt from article:

Anyone in the U.S. who used Facebook in the last 16 years can now collect a piece of a $725 million settlement by parent company Meta tied to privacy violations — as long as they fill out a claim on a website set up to pay out money to the social network's users. 

The settlement stems from multiple lawsuits that were brought against Facebook by users who claimed that the company improperly shared their data with third-party sources such as advertisers and data brokers. The litigation began after Facebook was embroiled in a privacy scandal in 2018 with Cambridge Analytica, which scraped user data from the site as part of an effort to profile voters.

Meta denied any liability or wrongdoing under the settlement, according to the recently created class-action website. However, the agreement means that U.S. residents who used Facebook between May 24, 2007, and December 22, 2022, can file a monetary claim as long as they do so before August 25, 2023. 

Please reblog to signal boost this! As many people as possible should know about this to make their claim, if you don't do anything you don't get anything. It takes less than ten minutes to file and pick your payment option including pay/pal and ven/mo .

-USA Residents Only-

This ended August 25th, 2023!

[fabaulti]

I think most of us should take the whole ai scraping situation as a sign that we should maybe stop giving google/facebook/big corps all our data and look into alternatives that actually value your privacy.

i know this is easier said than done because everybody under the sun seems to use these services, but I promise you it’s not impossible. In fact, I made a list of a few alternatives to popular apps and services, alternatives that are privacy first, open source and don’t sell your data.

right off the bat I suggest you stop using gmail. it’s trash and not secure at all. google can read your emails. in fact, google has acces to all the data on your account and while what they do with it is already shady, I don’t even want to know what the whole ai situation is going to bring. a good alternative to a few google services is skiff. they provide a secure, e3ee mail service along with a workspace that can easily import google documents, a calendar and 10 gb free storage. i’ve been using it for a while and it’s great.

a good alternative to google drive is either koofr or filen. I use filen because everything you upload on there is end to end encrypted with zero knowledge. they offer 10 gb of free storage and really affordable lifetime plans.

google docs? i don’t know her. instead, try cryptpad. I don’t have the spoons to list all the great features of this service, you just have to believe me. nothing you write there will be used to train ai and you can share it just as easily. if skiff is too limited for you and you also need stuff like sheets or forms, cryptpad is here for you. the only downside i could think of is that they don’t have a mobile app, but the site works great in a browser too.

since there is no real alternative to youtube I recommend watching your little slime videos through a streaming frontend like freetube or new pipe. besides the fact that they remove ads, they also stop google from tracking what you watch. there is a bit of functionality loss with these services, but if you just want to watch videos privately they’re great.

if you’re looking for an alternative to google photos that is secure and end to end encrypted you might want to look into stingle, although in my experience filen’s photos tab works pretty well too.

oh, also, for the love of god, stop using whatsapp, facebook messenger or instagram for messaging. just stop. signal and telegram are literally here and they’re free. spread the word, educate your friends, ask them if they really want anyone to snoop around their private conversations.

regarding browser, you know the drill. throw google chrome/edge in the trash (they really basically spyware disguised as browsers) and download either librewolf or brave. mozilla can be a great secure option too, with a bit of tinkering.

if you wanna get a vpn (and I recommend you do) be wary that some of them are scammy. do your research, read their terms and conditions, familiarise yourself with their model. if you don’t wanna do that and are willing to trust my word, go with mullvad. they don’t keep any logs. it’s 5 euros a month with no different pricing plans or other bullshit.

lastly, whatever alternative you decide on, what matters most is that you don’t keep all your data in one place. don’t trust a service to take care of your emails, documents, photos and messages. store all these things in different, trustworthy (preferably open source) places. there is absolutely no reason google has to know everything about you.

do your own research as well, don’t just trust the first vpn service your favourite youtube gets sponsored by. don’t trust random tech blogs to tell you what the best cloud storage service is — they get good money for advertising one or the other. compare shit on your own or ask a tech savvy friend to help you. you’ve got this.

[violainebriat]

It's a bit weird typing out a full post here on tumblr. I used to be one of these artists that mostly focused on posting only images, the least amount of opinions/thoughts I could share, the better. Today, the art world online feels weird, not only because of AI, but also the algorithms on every platform and the general way our craft is getting replaced for close to 0 dollars. This website was a huge instrument in kickstarting my career as a professional artist, it was an inspiring place were artists shared their art and where we could make friends with anyone in the world, in any industries. It was pretty much the place that paved the way as a social media website outside of Facebook, where you could search art through tags etc. Anyhow, Tumblr still has a place in my heart even if all artists moved away from it after the infamous nsfw ban (mostly to Instagram and twitter). And now we're all playing a game of whack-a-mole trying to figure out if the social media platform we're using is going to sell their user content to AI / deep learning (looking at you reddit, going into stocks). On the Tumblr side, Matt Mullenweg's interviews and thoughts on the platform shows he's down to use AI, and I guess it could help create posts faster but then again, you have to click through multiple menus to protect your art (and writing) from being scraped. It's really kind of sad to have to be on the defensive with posting art/writing online. It doesn't even reflect my personal philosophy on sharing content. I've always been a bit of a "punk" thinking if people want to bootleg my work, it's like free advertisement and a testament to people liking what I created, so I've never really watermarked anything and posted fairly high-res version of my work. I don't even think my art is big enough to warrant the defensiveness of glazing/nightshading it, but the thought of it going through a program to be grinded into a data mush to be only excreted out as the ghost of its former self is honestly sort of deadening.

Finally, the most defeating trend is the quantity of nonsense and low-quality content that's being fed to the internet, made a million times easier with the use of AI. I truly feel like we're living what Neil Postman saw happening over 40 years ago in "amusing ourselves to death"(the brightness of this man's mind is still unrivaled in my eyes).

I guess this is my big rant to tell y'all now I'm gonna be posting crunchy art because Nightshade and Glaze basically make your crispy art look like a low-res JPEG, and I feel like an idiot for doing it but I'm considering it an act of low effort resistance against data scraping. If I can help "poison" data scrapping by wasting 5 minutes of my life to spit out a crunchy jpeg before posting, listen, it's not such a bad price to pay. Anyhow check out my new sticker coming to my secret shop really soon, and how he looks before and after getting glazed haha....

[tribow]

I don't get the discourse around supporting Tumblr.

Like if you give money to Tumblr you are supporting all of their bad decisions!!!

Okay, but then how do they keep the site alive? Ads? How many people are clicking on ads here? Tumblr hasn't been scraping every tiny piece of data they can get to sell it like Facebook does either. Should they start doing that? Or should they sell more ad space even though they're already known to be a site that isn't all the great for advertisers.

This is the only two routes I can think of for attempting to stay sustainable without the use of getting money directly from their users.

Someone's gotta pay to maintain this site and also pay all employees working to do so. This isn't a one man job you need a whole team for this. Tumblr costs quite a bit to maintain.

Is it wrong to pay for an online service you frequently use? I mean, let's imagine every Tumblr user magically unite to protest against all the changes to Tumblr they disagree with by making sure Tumblr gets no financial support. What would happen? Who is paying Tumblr's staff to listen to the demands of its community? Does anyone know how long that could take? Would that really save the site or would that send it straight to its doom?

To change topic a bit. Is financially supporting a company indicative of you agreeing with what they are doing? Is it not entirely possoble to critique a company in spite of your support? There's still things like review bombing and disrupting customer service. Besides, without being a paying customer you wouldn't have much of anything to threaten Tumblr with. If majority of the userbased was supporting with money it would be very scary for Tumblr if a ton of people really pulled out.

I....

I don't know it just seems to me that people want to protest to Tumblr staff by just....doing nothing and continueing to use Tumblr. What does that do??? Do YOU want to become the product??? Tumblr could axe Tumblr Live right now all of those people complaining wouldn't give Tumblr a dime for it. These devs are fairly communicative. They have several blogs dedicated to development, there's devs with their own blogs who respond to the community and even post surveys for suggestions to other staff, they did a Q&A in Tumblr Live (annoyingly), and have been fairly transparent in clearly communicating their plans while keeping it very open to criticism.

I can't really say that about many other companies. Tumblr staff gives its users SO MANY avenues to communicate. It's almost too open. The staff can get harassed very easily (I'm sure some do). Are the people complaining about this site not using these avenues to get staff's attention? I don't see how not giving them money will get their attention. If anything it would make them more desparate to get money from us through other means than something as inoffensive as merch.

This is a website that you are using. Is it wrong to compensate those maintaining/providing this service as you use it? If it is wrong, then what are the alternatives? Am I just stupid am I missing something?

[anniekoh]

elsewhere on the internet: AI and advertising

Bubble Trouble (about AIs trained on AI output and the impending model collapse) (Ed Zitron, Mar 2024)

A Wall Street Journal piece from this week has sounded the alarm that some believe AI models will run out of "high-quality text-based data" within the next two years in what an AI researcher called "a frontier research problem."  Modern AI models are trained by feeding them "publicly-available" text from the internet, scraped from billions of websites (everything from Wikipedia to Tumblr, to Reddit), which the model then uses to discern patterns and, in turn, answer questions based on the probability of an answer being correct. Theoretically, the more training data that these models receive, the more accurate their responses will be, or at least that's what the major AI companies would have you believe. Yet AI researcher Pablo Villalobos told the Journal that he believes that GPT-5 (OpenAI's next model) will require at least five times the training data of GPT-4. In layman's terms, these machines require tons of information to discern what the "right" answer to a prompt is, and "rightness" can only be derived from seeing lots of examples of what "right" looks like. ... One (very) funny idea posed by the Journal's piece is that AI companies are creating their own "synthetic" data to train their models, a "computer-science version of inbreeding" that Jathan Sadowski calls Habsburg AI.  This is, of course, a terrible idea. A research paper from last year found that feeding model-generated data to models creates "model collapse" — a "degenerative learning process where models start forgetting improbable events over time as the model becomes poisoned with its own projection of reality."

...

The AI boom has driven global stock markets to their best first quarter in 5 years, yet I fear that said boom is driven by a terrifyingly specious and unstable hype cycle. The companies benefitting from AI aren't the ones integrating it or even selling it, but those powering the means to use it — and while "demand" is allegedly up for cloud-based AI services, every major cloud provider is building out massive data center efforts to capture further demand for a technology yet to prove its necessity, all while saying that AI isn't actually contributing much revenue at all. Amazon is spending nearly $150 billion in the next 15 years on data centers to, and I quote Bloomberg, "handle an expected explosion in demand for artificial intelligence applications" as it tells its salespeople to temper their expectations of what AI can actually do.  I feel like a crazy person every time I read glossy pieces about AI "shaking up" industries only for the substance of the story to be "we use a coding copilot and our HR team uses it to generate emails." I feel like I'm going insane when I read about the billions of dollars being sunk into data centers, or another headline about how AI will change everything that is mostly made up of the reporter guessing what it could do.

They're Looting the Internet (Ed Zitron, Apr 2024)

An investigation from late last year found that a third of advertisements on Facebook Marketplace in the UK were scams, and earlier in the year UK financial services authorities said it had banned more than 10,000 illegal investment ads across Instagram, Facebook, YouTube and TikTok in 2022 — a 1,500% increase over the previous year. Last week, Meta revealed that Instagram made an astonishing $32.4 billion in advertising revenue in 2021. That figure becomes even more shocking when you consider Google's YouTube made $28.8 billion in the same period . Even the giants haven’t resisted the temptation to screw their users. CNN, one of the most influential news publications in the world, hosts both its own journalism and spammy content from "chum box" companies that make hundreds of millions of dollars driving clicks to everything from scams to outright disinformation. And you'll find them on CNN, NBC and other major news outlets, which by proxy endorse stories like "2 Steps To Tell When A Slot Is Close To Hitting The Jackpot."  These “chum box” companies are ubiquitous because they pay well, making them an attractive proposition for cash-strapped media entities that have seen their fortunes decline as print revenues evaporated. But they’re just so incredibly awful. In 2018, the (late, great) podcast Reply All had an episode that centered around a widower whose wife’s death had been hijacked by one of these chum box advertisers to push content that, using stolen family photos, heavily implied she had been unfaithful to him. The title of the episode — An Ad for the Worst Day of your Life — was fitting, and it was only until a massively popular podcast intervened did these networks ban the advert.  These networks are harmful to the user experience, and they’re arguably harmful to the news brands that host them. If I was working for a major news company, I’d be humiliated to see my work juxtaposed with specious celebrity bilge, diet scams, and get-rich-quick schemes.

...

While OpenAI, Google and Meta would like to claim that these are "publicly-available" works that they are "training on," the actual word for what they're doing is "stealing." These models are not "learning" or, let's be honest, "training" on this data, because that's not how they work — they're using mathematics to plagiarize it based on the likelihood that somebody else's answer is the correct one. If we did this as a human being — authoritatively quoting somebody else's figures without quoting them — this would be considered plagiarism, especially if we represented the information as our own. Generative AI allows you to generate lots of stuff from a prompt, allowing you to pretend to do the research much like LLMs pretend to know stuff. It's good for cheating at papers, or generating lots of mediocre stuff LLMs also tend to hallucinate, a virtually-unsolvable problem where they authoritatively make incorrect statements that creates horrifying results in generative art and renders them too unreliable for any kind of mission critical work. Like I’ve said previously, this is a feature, not a bug. These models don’t know anything — they’re guessing, based on mathematical calculations, as to the right answer. And that means they’ll present something that feels right, even though it has no basis in reality. LLMs are the poster child for Stephen Colbert’s concept of truthiness.

[mariacallous]

As few as 2 percent of New York City’s previous 22,000 short-term rentals on Airbnb have been registered with the city since a new law banning most listings came into effect in early September. But many illegal short-term rental listings are now being advertised on social media and lesser known platforms, with some still seemingly being listed on Airbnb itself.

The number of short-term listings on Airbnb has fallen by more than 80 percent, from 22,434 in August to just 3,227 by October 1, according to Inside Airbnb, a watchdog group that tracks the booking platform. But just 417 properties have been registered with the city, suggesting that very few of the city’s short-term rentals have been able to get permission to continue operating.

The crackdown in New York has created a “black market” for short-term rentals in the city, claims Lisa Grossman, a spokesperson for Restore Homeowner Autonomy and Rights (RHOAR), a local group that opposed the law. Grossman says she’s seen the short-term rental market pick up steam on places like Facebook since the ban. “People are going underground,” she says.

New York’s crackdown on short-term rentals has dramatically reshaped the vacation rental market in the city. People are using sites like Craigslist, Facebook, Houfy, and others, where they can search for guests or places to book without the checks and balances of booking platforms like Airbnb. Hotel prices are expected to rise with more demand.

Search for a short stay on Airbnb, and there are few places scattered across the map. Many of those old listings have turned into stays of 30 days or longer—meaning they do not need to be registered.

AirDNA, a short-term rental intelligence firm, found just 2,300 short-term rentals on Airbnb in New York City by late September. The number of stays advertised as long-term rentals now makes up 94 percent of Airbnb’s listings in the city, AirDNA’s data shows. Hosts must meet strict requirements to be approved as a short-term rental—they can have only two guests, and the host must be present in the home during the stay. This change banned many whole apartment listings, except for those that fell under a Class B dwelling category, like hotels, boarding houses, and clubs.

But people are finding ways around the rules. Many listings on Airbnb now include a space in the property’s description for hosts to enter a registration number or state that they are exempt. WIRED searched Airbnb for stays in New York and found many short-term rentals that list themselves as exempt from the city’s registration rules, but there are still several entire units available for short stays that do not appear to be hotels or exempt units.

In one listing marked as exempt, the host asks for guests to avoid interacting with the building’s concierge. On another listing, a host claims they used to live in the unit but have moved to New Jersey and now rent it out. One appears to be a rowhome in a mostly residential neighborhood in Brooklyn. Airbnb uses the city’s verification system to flag unregistered units. The company did not provide comment for this story addressing these specific listings flagged by WIRED. Nathan Rotman, the public policy regional lead for Airbnb, says the company is “working closely” with the city as it implements the new registration law.

Inside Airbnb’s data shows some 2,300 short-term properties have listed themselves as exempt from registration on Airbnb. There are a few hundred more that do not say whether they are exempt or registered, according to the data. Another 35,000 are long-term rentals. Airbnb did not confirm the numbers in the data scraped by Inside Airbnb. The Mayor's Office of Special Enforcement in New York, which manages the registration program, did not provide an update on the total number of short-term rentals it has registered, or whether it has issued violations for illegal listings. 

The New York City law is just one striking way cities are fighting back against short-term rentals. Supporters of the rule argued it would free up apartments for New Yorkers, who pay high rent prices and are facing housing shortages and insecurity. But others, including small-time landlords, said it would take away a source of flexible extra income without making a dent in the housing supply crisis.

Those smaller landlords are still pushing New York City councilors to change the rules to allow them to rent out their units. RHOAR is made up of hosts who own and occupy single-family homes or homes with two dwelling units. These hosts feel they have been unfairly looped in with big landlords. Grossman says RHOAR has met with city councilors in hopes of changing the law so that smaller hosts can still legally do short-term renting.

Outside of Airbnb, people are posting listings and seeking short-term rentals in Facebook groups. Ads on Craigslist for rentals have weekly or nightly prices listed—WIRED found one listing with a weekly and nightly price on Craigslist that also appears on Airbnb, but can only be booked for 30 days or longer on Airbnb. These off-platform rentals pose risks to both guests and hosts, who could get scammed without the protections of bigger companies like Airbnb. 

Craigslist did not respond to a request for comment. Meta, Facebook's parent company, did not comment on specific listings flagged by WIRED, but the company's policies require buyers and sellers in Facebook Marketplace to comply with local laws, and the company prohibits people from promoting illegal activity in Facebook pages and groups.  

Then there’s Houfy, another website listing short-term rentals. WIRED found that many of the listings come from guests who joined the site in September, the same month New York’s new registration rules took effect. The intention is for guests to book directly with hosts—think Airbnb without the fees. The site compares prices for the same property on Airbnb and Houfy and claims to show how much people can save by avoiding Airbnb’s fees.

Houfy has received a notice from New York City about the new rule and is “reviewing how to comply with their rules,” Thijs Aaftink, CEO of Houfy, tells WIRED. Aaftink says Houfy, unlike Airbnb and other rental sites, does not take commissions on transactions between hosts and guests, and argues the company “is therefore not part of the transaction.” He says hosts are responsible for complying with local laws when listing properties.

After the rule change, Airbnb is shifting attention away from New York, which was once its biggest market. Airbnb CEO Brian Chesky has recently said the company is exploring longer rentals, as well as car rentals and dining pop-ups. And it has got its eyes on Paris, its largest market and home to the 2024 Summer Olympics.

“I was always hopeful that New York City would lead the way—that we would find a solution in New York, and people would say, ‘If they can make it in New York, they can make it anywhere,’” Chesky said during an event in September hosted by Skift, a travel industry news site. “I think, unfortunately, New York is no longer leading the way—it’s probably a cautionary tale.”

[tangibletechnomancy]

What frustrates me about The Discourse about AI art is that everyone feels the need to have An Opinion...and no one is willing to look into the conversations that have been going on for DECADES surrounding the relevant issues, or the cases that set precedent for what we can do here going back CENTURIES.

Let me lay out two very important things here:

The dataset ethics issue is more of an issue of digital privacy than copyright.

The labor issue has been seen MANY times throughout history; we can look to MANY other times new tech has shaken up a job market for precedent before AI even STARTS being used on large commercial projects.

Point #1 is true because, I have said before and I will say again, image synthesis is not collaging. It is not copy-pasting. It does not composite images in the dataset. It doesn't even save the images. It looks for patterns in the pixels and tries to recreate similar patterns from random or semi-random noise. This is why it often sucks at anatomy without human guidance - it recognizes that the word "hair" usually corresponds to a pattern that usually goes near a pattern that corresponds to a "head", it recognizes that "hands" usually have a certain pattern of repeating light and shadows, but it doesn't understand the intricacies of where those things belong or how many times a pattern might repeat. This is why images of architecture often have impossible geometry - it understands the shapes that these things tend to take; it doesn't understand the logic of what connects to what. People can use it to plagiarize - they can, intentionally or otherwise, force a result that is overfitted to a specific piece of data in the set - but to say that's ALL it does is comparable to the asinine claim that ALL referencing is plagiarism, because SOME people will just straight up trace or recreate a full piece that already exists, sometimes even by accident. (And some people - not all, not even most, but some who claim plagiarism, whether from AI or traditional art, are just...really? Do you really think you are the only person who has ever drawn, say, a pink fairy sitting under a purple luminescent mushroom, gazing at a full moon in the upper left, composed with the 1/3s rule? Do you really?)

And the thing is, I agree that the kind of broad data scrapes that have been used to create most AI models should be reserved solely for scientific curiosity if they're used at all, and I respect anyone who doesn't want to touch image synthesis until that issue is resolved. The only reason it doesn't bother me too much to play with it myself is that...unfortunately, we're all interacting with much worse as we speak. Ever heard the word "spyware?" If you're old enough to know it, notice how you stopped hearing it when Facebook normalized making literally the majority of the internet into spyware?

You can't really use the internet while wholly blocking Google, and their evils are pretty well documented. (Remember when we rolled our eyes at their internal "don't be evil" slogan? And how deeply unsettling it was to then watch them REMOVE that while ramping up aggressive datamining?) Amazon made Alexa to harvest your data to sell you shit more effectively. If you have a smartphone, Google or Apple or both are harvesting your data for all kinds of much more malicious purposes than making pretty pictures. Twitter uses your tweets and browsing patterns to force you to interact with people you will hate because negative emotions hold your attention better than positive ones and they want that sweet sweet advertiser money from your constant engagement; this was the case even long before Elongated Muskrat took over. Spotify Wrapped and knockoffs thereof are ~fun tools~ that...normalize just handing data about some pretty personal things over to anyone who dangles a shiny novelty in front of you made with it. It's used for invasive surveillance and policing, and Facebook's for-profit datamining even ended up being a tool of election interference - had it not been for them we might not be in nearly such a bad state with the rise of global fascism.

Image synthesis is one of the most harmless and even potentially BENEFICIAL things to be created as a result of this disturbing norm.

The fact is, small artists: copyright law may protect you a little, sometimes, but it wasn't made for us (and yes, I say "us", because even if you don't count my partially AI work as art, I do traditional art too, guys). It was made for Disney and their ilk. It is designed to protect corporate interests, not artistic ones. That notwithstanding, the copyright angle is a weak one in the first place - it's easy to argue that, because the process is transformative enough, and the dataset is large enough and abstracted enough from anything it was derived from, AI training on online art would fall under fair use, and it is only individual misuses that would constitute infringement. It's especially easy to argue this when you recognize that, at this point, that's more where the corporate interest lies, and remember who the laws are made for!

Digital privacy, on the other hand? The right to your own data? The right to be forgotten? The need to have regulations on where robots can and cannot crawl, and for what purposes? THAT is a critical conversation that we need to be having here, and if everyone with An Opinion on AI art focused their energy there instead of mostly just misinformed screaming about the sky falling and Art Dying And Society Degrading (which is HORRIFYING to hear from leftists in knowing its history as a fascist talking point), we could probably get some MAJOR good done.

Furthermore, even if someone ruled that AI training doesn't constitute fair use under copyright law, that won't stop big companies from using AI - Disney has PLENTY of frames of animation to feed a model to make something entirely their own. So do most animation studios. I have even been in talks with people trying to work on a 100% public domain AI model - the biggest concern about it is that if we complete and finalize it before the labor side of the issue is being worked around properly, it will EMBOLDEN unethical use in industry by getting rid of the potential legal complications.

So let's talk about the labor side and recognize - this isn't the first time new tech has threatened to make major changes to the way something is done in industry, potentially resulting in workforce downsizing. It won't be the last. Honestly, as a person who's been both machining and doing mixed media art since I was a kid (and sometimes both at the same time), I find it deeply disheartening how many people have not cared about this side of the issue until it was certain art jobs that might get automated...and even more frustrating how people refuse to look to past cases for how the harms of new tech shaking up employment have been mitigated.

What we could and should be fighting for is a government program to compensate and optionally retrain employees who were laid off due to automation (ANY automation, not just in art!!), as well as independent workers who see a drop in income due to increased market saturation. We can do this. We've done it before.

We could and should also be fighting for UBI - this will be harder, but it's more popular now than it ever has been and some places are even TESTING it while the internet watches; it is not nearly as much of a pipe dream as it once was.

What's NOT going to help anyone is devaluing the labor of new automation tech operators - that INCENTIVIZES the corporations to adopt it FASTER where possible, and treat both new and existing employees WORSE. "I could replace you with a robot; you're employed out of the goodness of my heart" is one of the most common justifications for abusing and underpaying employees in relevant positions. Big media companies already rely on crunch at poverty wages; they're only going to get worse about it with AI tech because "oh you're just pushing buttons, what do you mean you can't do that for 20 hours at barely minimum wage, how lazy can you get?" if we continue this line of thinking. However, if we recommend and enable new automation operators - in all industries - to UNIONIZE before their work and thus their mistreatment even starts, it will make the transition a hell of a lot easier on both new and existing workers.

Tl;dr: It's great that we have a lot of people concerned about artists' labor rights and tech transparency now PLEASE LEARN YOUR HISTORY AND DIRECT YOUR ENERGY WHERE IT IS NEEDED INSTEAD OF ASSUMING YOU KNOW EVERYTHING FROM A FEW SENSATIONALIZED ARTICLES I BEG OF YOU

[songofsaraneth]

i'll be honest i do not trust any up&coming social media site that claims it will be free to use and also not sell your data and also have zero ads. WHERE are you getting money then? like sure you can rely on donations for sustainability for like... a couple years at best probably, if you're aiming to wildly increase growth/number of users. donation based works ok for small highly invested communities or for online repositories of data (wikipedia, ao3). but like facebook/instagram/tiktok are profitable becuase they harvest data and use ads. tumblr is BARELY scraping by because it only relies on ads. if you take away even that, as soon as you have enough users to surpass the limits of free hosting, you're operating at a deficit.

like not writing this to say don't give it a shot, sincerely wish them good luck and hope they figure it out, it's hard! but also i just don't consider those kinds of websites/communities a reliable "backup" plan compared to tumblr itself which has kept chugging along for years despite Everything. it's a shiny new social media but it is weird to profess that a social media site advertising NO revenue streams will last longer than this one here.

[datascraping001]

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Car Dealership Email Lists

Contact information for car dealerships across the country is available in Car Dealership Email Lists. The search engine gives you a Car Dealership Email Lists - Car Dealership Mailing Lists of all car dealerships, or you can filter by 'new' or 'used' dealers. You can search by States, Counties, Cities and Zip Codes, and search by 100's of demographics, such as employee size and annual sales volume. Car Dealership Email Lists - Car Dealership Mailing Lists in USA, UK, Canada, Australia, Germany, France, UAE and Europe.

Data Scraping Services strives to deliver an outstanding Car Dealership Email Lists - Car Dealership Mailing Lists for its customers. You will be able to target automobile dealers, automobile manufacturing and auto retail sector through our Car Dealership Email Lists - Car Dealership Mailing Lists. Our Car Dealership Database offers accurate, real-time access to a national database of potential auto dealers and car dealers. This document includes names, physical addresses, phone numbers, e- mail addresses, revenue information, license details, etc. Everything you need to know is included within this comprehensive Car Dealership Email Lists. With an accurate Car Dealership Email Lists - Car Dealership Mailing Lists of potential customers, you can channel your marketing efforts on your targeted audience easily and with a greater incidence of success.

What Are The Benefits Of Buying A Car Dealership Email Lists?

With 8% growth in vehicle sales in 2022, there has been a 14.3% increase from the previous year. Our Car Dealership Email Lists - Car Dealership Mailing Lists can give you the edge you need to stay ahead of the competition. Our Car Dealership Email Lists - Car Dealership Mailing Lists can help you find new customers quickly and boost sales if you provide your products or services to car dealerships or plan on getting into business with them.

Do You Want To Advertise To Vehicle Owners In Your Area?

We have Car Dealership Email Lists - Car Dealership Mailing Lists of specific types of vehicle owners who live near the dealership, so you can mail them promotions and advertisements. With our service, you don't have to spend hours searching for new leads on the Internet or in white pages directories; we've done the work for you! Get in touch with top decision makers at Car Dealers using our high- quality, current contact information. 90+% of our Car Dealership Email Lists - Car Dealership Mailing Lists are accurate. Our prices are extremely competitive and we have low minimums. There is one email address per location in the Car Dealership Email Lists - Car Dealership Mailing Lists.  

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If you are looking for Car Dealership Email Lists - Car Dealership Mailing Lists then drop us an email at info@datascrapingservices.com.

[realdataapi1]

Facebook Ads Data Scraper | Scrape Facebook Advertising Data

RealdataAPI / facebook-ads-scraper

Easily Scrape advertising data from one or multiple Facebook Pages with the Facebook Ads Data Scraper. Obtain page details, reach estimates, publisher platforms, report count, number of impressions, ad IDs, timestamps, and other helpful information. The data can be downloaded in JSON, CSV, and Excel formats for use in various applications, spreadsheets, and reports. This tool is available in several countries, including Australia, Canada, Germany, France, Singapore, the USA, the UK, the UAE, and India.

 Customize me!  Report an issue Business E-commerce Social Media

Readme

API

Input

Related actors

What is Facebook Ads Data Extractor?

It Is A Powerful And Straightforward Actor That Allows You To Extract Facebook Ads Data Like Reach Estimates, Page Information, Publisher Platform, Report Analytics, And More. To Collect That Data, Place The Page Link And Click On The Save And Start Option.

Why extract Facebook ads data?

It Will Help You In Market Research, Trend Monitoring, Competitor Intelligence, Social Media Study, Brand Sentiment, Etc.

How to use Facebook Ads Scraper?

We've Designed This Scraper To Collect Facebook Ads Data To Quickly Start The Process Even If You Are Beginning To Scrape The Data. Here Is The Process To Scrape Information Using This API.

Create a free Real Data API account with your email.

Open Facebook ads data scraper on our platform.

Place multiple URLs of Facebook pages to scrape ad data.

Click the Start button and allow some time for the scraper to get you the required data.

Export the data in any usable format of your choice.

Note That This Actor Shows The Scraped Outputs Only At The End Of Execution. While Running, The Scraper Won't Update Outputs. You Can Allow The Scraper To Finish The Execution To See The Output.

Input

It Would Help If You Fed The Input To This Scraper As Below.

URL of the page like https://www.facebook.com/drive4quantix/

Or the URL of the advertisement, like https://www.facebook.com/ads/library/?active_status=all&ad_type=all&coun try=ALL&q=%7B%7D&sort_data[direction]=desc&sort_data[mode]=relevan cy_monthly_grouped&start_date[min]=2022-10- 12&start_date[max]=&search_type=keyword_unordered&media_type=vid You can get a longer URL in the ads library of Facebook. Before pasting the link, mention filters, settings, and amounts per page.

Keep in mind that zero scrolls reflect the first few ad sets. Every scroll can deliver 30 advertisements. Facebook restricted the maximum number of ads shown per page, so you may not see all the ads.

Open The Input Tab To See The JSON Example.{ "StartUrls": [ { "Url": "Https://Www.Facebook.Com/AndrejBabis" } ], "ScrollsAmount": 4 }

Output

Note: You'll See The Start And End Dates Below In The ISO Value Format. StartDateFormatted: "2022-10-12T07:00:00.000Z" And EndDateFormatted: "2022- 10-12T07:00:00.000Z".

What is the cost of using a Facebook Ads scraper?

Suppose You Use This Scraper On The Real Data API Platform For Result-Oriented Facebook Data Extraction. In That Case, You Need Residential Proxy Servers In The Monthly Personal Plan Of Real Data API, Which Is Around 50 USD Per Month.

To Know More About How We Offer Pricing, Proxies And Usages, And Platform Credits, Check The Pricing Page On Our Platform.

Do you want to collect Facebook groups or comments data?

If You Want To Collect Detailed Facebook Data, We've Dedicated A Scraper For Them Below.

Facebook Groups Scraper

Facebook Reviews Scraper

Facebook Comments Scraper

Facebook Photos Scraper

Facebook Ads scraper with Integrations

Lastly, You Can Connect This Actor With Any Web Application Or Cloud Service With Real Data API Integrations. You Can Connect With Slack, Zapier, GitHub, Make, Google Drives, Airbyte, Google Drive, Etc.

You Can Also Use Webhooks To Commence The Action At The Time Of The Event, Like Getting An Alert In The Successful Execution Of This API.

Using Facebook Ads Scraper with the Real Data API

The Real Data API Allows You To Access Actors Programmatically. It Also Allows You To Use Datasets, Track API Performances, Generate Results, Update And Develop Versions, Etc. To Use The Actor In Python, Use Our Client PyPl Package, And To Use In Node.Js, Use Our Client NPM Package.

See The Real Data API Actor Reference Document For Details, Or Open The API Tab For Codes.

Can I extract Facebook Ads data legally?

We Follow All The Rules And Regulations To Maintain Ethics And Don't Scrape Any Private Data Like Location, Gender, Or Email Ids Of Personal Accounts. But The Scraped Data May Contain Some Personal Information Unintentionally, So Be Aware And Don't Scrape Any Personal Data Without Genuine Reason.

You Can Consult Advocates If You Are Confused About Whether Your Reason Is Legal

[711proxy]

Proxy IP's main use of people, you belong to which category?

Proxy IP has become a common tool in Internet operations, especially in the context of today's information technology globalization, proxy IP application scenarios are more and more extensive. So, which groups of people use proxy IP most often?

1. Data Scraping and Web Crawling Engineers

Data crawling and web crawling are the most common applications of proxy IP. Crawler engineers can bypass the anti-crawler mechanism of websites through proxy IP, and collect data from websites in a large scale and efficiently. The switching function of proxy IP can help crawlers to perform large-scale data crawling without exposing themselves, and avoid being blocked due to frequent visits to the same IP. For enterprises or individuals engaged in market research and competitive analysis, proxy IP is undoubtedly a powerful tool.

2. Cross-border e-commerce and foreign trade practitioners

Cross-border e-commerce and foreign trade practitioners are also heavy users of proxy IP. In cross-border e-commerce operations, merchants need to frequently log in to e-commerce platforms in different countries, such as Amazon, eBay, etc., and monitor market trends in multiple countries at the same time. By using residential proxies, they can easily switch to the IP address of the target country for accurate localization and avoid account risks caused by mismatched IP addresses.

3. Overseas Ad Placement and Promoters

When making overseas advertisement placement, proxy IP can help advertising practitioners operate their accounts more flexibly, manage ad campaigns, and conduct data monitoring. Especially when advertising globally on Facebook, Google Ads and other platforms, proxy IP can solve the problems of regional restrictions and IP blocking to ensure the safety and smooth operation of advertising accounts.

4. Social media operators

Social media operators, especially those engaged in account management, usually need to operate multiple accounts at the same time. While social platforms have strict restrictions on logging into multiple accounts with the same IP, the use of proxy IPs can effectively circumvent such restrictions. Especially on social platforms such as Facebook, Instagram, Twitter, etc., proxy IPs can help with multi-account operations, maintain IP diversity, and reduce the risk of account blocking.

5. Gamers and proxy trainers

Proxy IPs are also crucial for certain international gamers or surrogates. As the servers of some games are distributed all over the world and the network latency is high in certain regions, proxy IP can help gamers optimize their network connection and improve their gaming experience. At the same time, by switching IP addresses of different countries, gamers can also unlock game content in specific regions and enjoy more gaming fun.

6. Security and Privacy Protection Users

Some users attach great importance to network privacy and security, and they hide their real IP address through proxy IP to avoid being attacked or monitored by the network. Most of these users are engaged in network security or have strong awareness of personal information protection, proxy IP can effectively enhance their privacy and security.

Proxy IP is used by a wide range of people, and everyone can use proxy IP to improve the efficiency and security of their work and entertainment. If you also need the support of proxy IP, 711Proxy provides efficient and secure global proxy services to help you easily cope with all kinds of network needs!

[softseot]

Bulk Facebook Id Finder

 A Facebook ID is a unique numerical identifier that distinguishes a Facebook profile, page, or group from others. For marketers, data analysts, and developers, finding these IDs in bulk can be incredibly useful for tasks ranging from targeted advertising to data collection. This guide will explore everything you need to know about bulk Facebook ID finders, including how they work, why they are useful, and how to choose the right tool for your needs.

What is a Facebook ID?

A Facebook ID is a unique number assigned to every user, page, group, or other entity on Facebook. This ID is crucial for interacting with Facebook's API, as it helps in identifying and managing different accounts and content. There are different types of Facebook IDs, including user IDs, which are linked to personal profiles; page IDs, which are associated with business or fan pages; and group IDs, which identify Facebook groups.

Why Would You Need to Find Facebook IDs in Bulk?

There are several reasons why you might need to find Facebook IDs in bulk. Marketers, for example, often need these IDs to create custom audiences for targeted ads. Data analysts may use them to gather information about user behavior on Facebook. Additionally, developers might require bulk IDs to integrate Facebook data into their applications or services. Having a bulk Facebook ID finder streamlines these processes, making it easier to collect and manage large amounts of data.

How Does a Bulk Facebook ID Finder Work?

A bulk Facebook ID finder is a tool designed to extract Facebook IDs from multiple profiles, pages, or groups simultaneously. These tools typically work by inputting a list of URLs or usernames and then processing that list to retrieve the corresponding IDs. The process involves connecting to Facebook’s API or using scraping techniques to collect the data.

Types of Bulk Facebook ID Finders

Web-based Tools

Web-based bulk Facebook ID finders are online services that allow users to input a list of URLs or usernames and receive a list of corresponding IDs. These tools are usually easy to use and require no installation, making them accessible to a wide range of users. However, they might have limitations in terms of the number of IDs you can find at once.

Software Solutions

Dedicated software solutions offer more robust functionality, including the ability to process larger datasets and integrate with other tools. These solutions often provide additional features, such as data export options and API integration, but they might require more technical knowledge to operate effectively.

Custom Scripts

For those with programming skills, custom scripts written in languages like Python or JavaScript can be a powerful way to find Facebook IDs in bulk. These scripts can be tailored to your specific needs, offering flexibility and control over the data extraction process.

Top Features to Look for in a Bulk Facebook ID Finder

When choosing a bulk Facebook ID finder, consider the following features:

Speed and Efficiency: The tool should be able to process large datasets quickly without compromising accuracy.

Accuracy: Ensure that the IDs returned by the tool are correct and up-to-date.

Ease of Use: A user-friendly interface can make the process smoother, especially for those who are not technically inclined.

Common Challenges in Finding Facebook IDs in Bulk

Finding Facebook IDs in bulk can present several challenges. Privacy concerns are a significant issue, as Facebook has strict policies regarding data access. Additionally, API restrictions can limit the amount of data you can retrieve at once. Handling large datasets also requires careful management to avoid errors and ensure that the data is usable.

How to Choose the Right Bulk Facebook ID Finder for Your Needs

Choosing the right bulk Facebook ID finder depends on several factors, including your specific requirements, budget, and technical expertise. Consider the scale of your operations – larger businesses might need more advanced solutions, while smaller operations can get by with simpler tools. Evaluate the cost of the tool against its benefits to determine if it’s a worthwhile investment. Finally, ensure that the tool integrates seamlessly with your existing systems.

Top Bulk Facebook ID Finders in 2024

Here’s a look at some of the top bulk Facebook ID finders available in 2024:

ID Finder Pro: Known for its fast processing speed and high accuracy, ID Finder Pro is popular among marketers and data analysts.

Bulk ID Extractor: This tool offers a user-friendly interface and robust API integration, making it a great choice for developers.

FB Scraper: A powerful software solution, FB Scraper allows users to extract IDs from large datasets quickly and efficiently.

Legal and Ethical Considerations

When using a bulk Facebook ID finder, it’s essential to understand Facebook’s terms of service and ensure that your use of the tool is compliant. Misuse of Facebook IDs can lead to penalties, including the suspension of your account. Additionally, ethical considerations should guide your use of the data – always respect user privacy and use the IDs responsibly.

Step-by-Step Guide to Using a Bulk Facebook ID Finder

Input Data: Start by entering the URLs or usernames you want to extract IDs from into the tool.

Process the List: Run the tool to process the list and retrieve the corresponding Facebook IDs.

Export Results: Once the IDs have been found, export the results to a file for further use or analysis.

Integrating Bulk Facebook ID Finder with Other Tools

To maximize the utility of your bulk Facebook ID finder, consider integrating it with other tools you use, such as CRM systems or marketing platforms. Many bulk ID finders offer API support, allowing for seamless integration and automation of processes, such as updating contact lists or targeting specific audiences.

FAQs About Bulk Facebook ID Finders

Can you find IDs for private profiles? No, bulk Facebook ID finders cannot retrieve IDs for private profiles due to privacy restrictions.

How often should you update your ID database? It’s a good practice to update your database regularly to ensure that the IDs remain accurate and relevant.

The Future of Bulk Facebook ID Finders

As privacy laws become more stringent and technology continues to evolve, the landscape of bulk Facebook ID finders is likely to change. Future advancements may include more sophisticated data processing capabilities, enhanced security features, and greater compliance with global data protection regulations.

Conclusion

Finding Facebook IDs in bulk is a valuable process for marketers, data analysts, and developers. By choosing the right tool and following best practices, you can efficiently gather the data you need while staying compliant with legal and ethical standards.

READ MORE : https://www.facebook.com/softseotools https://twitter.com/softseotools11https://www.linkedin.com/in/soft-seo-tools/https://www.pinterest.com/softseotools

[ottscrap]

Paramount Plus Movie Datasets - Insights, Uses, and Benefits

Introduction

In the era of digital transformation, data has become a pivotal asset across various industries. The film industry, particularly, has seen a substantial shift towards data-driven strategies. Paramount Plus Pictures, one of the oldest and most renowned film production companies, has embraced this change by leveraging datasets to optimize their operations and enhance their content offerings. This blog explores the world of Paramount Plus Movie Datasets, delving into their collection, extraction, and the manifold benefits they offer.

What Are Paramount Plus Movie Datasets?

Paramount Plus Movie Datasets encompass a vast array of data related to films produced and distributed by Paramount Plus Pictures. These datasets include information such as:

Movie Metadata: Titles, genres, release dates, cast and crew details, runtime, production budget, box office performance, and awards.

Streaming Data: Viewer engagement metrics, such as watch time, pauses, rewinds, skips, and completion rates.

Audience Demographics: Age, gender, location, and viewing preferences of the audience.

Social Media Insights: Mentions, likes, shares, and sentiment analysis from various social media platforms.

User Reviews and Ratings: Aggregated scores and individual reviews from platforms like IMDb, Rotten Tomatoes, and Metacritic.

Paramount Plus Movie Data Collection

Paramount Plus movie data collection involves multiple sources, each contributing unique and valuable information:

Internal Databases: Paramount Plus's proprietary databases store detailed metadata about their films.

Streaming Platforms: Data from streaming services like Paramount Plus+, Netflix, and Amazon Prime Video provide insights into viewer behavior.

Social Media: Platforms like Twitter, Facebook, Instagram, and YouTube are mined for audience engagement and sentiment.

Third-Party Aggregators: Websites like IMDb, Rotten Tomatoes, and Box Office Mojo aggregate reviews, ratings, and box office data.

Methods of Paramount Plus Movie Data Collection

Paramount Plus employs various techniques to collect data, ensuring comprehensive and accurate datasets:

APIs: Application Programming Interfaces (APIs) from streaming services and social media platforms facilitate automated data collection.

Web Scraping: Custom scripts are used to scrape Paramount Plus movie streaming data that do not provide APIs.

Surveys and Polls: Direct feedback from audiences through surveys and polls enrich the datasets with qualitative insights.

Partnerships: Collaborations with third-party data providers enhance the breadth and depth of available data.

Uses of Paramount Plus Movie Datasets

Content Creation and Curation

Paramount Plus Movie Datasets play a crucial role in the content creation process:

Script Development: Data on audience preferences helps writers and producers develop scripts that resonate with viewers.

Casting Decisions: Insights into popular actors and their impact on box office performance guide casting choices.

Genre Selection: Understanding which genres are trending allows Paramount Plus to focus on content that aligns with current audience interests.

Marketing and Promotion

Data-driven marketing strategies are essential for successful film promotions:

Targeted Advertising: Audience demographics and behavior data enable precise targeting of promotional campaigns.

Social Media Campaigns: Analyzing social media trends helps create engaging content that attracts attention and generates buzz.

Trailer Optimization: Viewer engagement metrics guide the creation and editing of trailers to maximize impact.

Distribution Strategies

Optimizing distribution strategies is another key use of Paramount Plus Movie Data:

Release Timing: Analyzing historical data on release dates and box office performance helps determine the best times to release new films.

Platform Selection: Data on viewer preferences informs decisions about which streaming platforms to prioritize.

Global Reach: Understanding regional preferences and trends aids in tailoring distribution strategies for different markets.

Viewer Engagement

Enhancing viewer engagement is Paramount Plus for long-term success:

Personalized Recommendations: Machine learning models use viewing history to suggest movies and shows tailored to individual preferences.

Interactive Content: Data on viewer interactions with content drives the creation of interactive and immersive experiences.

Feedback Loops: Continuous feedback from viewers is analyzed to improve future content and address any issues promptly.

Benefits of Paramount Plus Movie Datasets

Improved Decision Making: Data-driven insights lead to more informed decision-making across all levels of film production and distribution. By leveraging accurate and timely data, Paramount Plus can

Reduce Risks: Minimize the financial risks associated with film production by understanding audience preferences and market trends.

Enhance Quality: Produce higher quality content that resonates with viewers, leading to better reviews and higher revenues.

Optimize Budgets: Allocate resources more effectively by identifying areas with the highest potential return on investment.

Enhanced Audience Satisfaction: Understanding the audience is key to delivering content that meets their expectations:

Content Alignment: Ensure that new releases align with audience interests and preferences.

Responsive Adjustments: Quickly respond to audience feedback to make necessary adjustments in content and strategy.

Increased Engagement: Foster higher engagement levels through personalized and relevant content offerings.

Competitive Advantage

In the highly competitive film industry, Paramount Plus Movie Datasets provide a significant edge:

Market Positioning: Position films more effectively in the market by understanding competitor strategies and audience behavior.

Innovation: Drive innovation in content creation, marketing, and distribution through data-driven insights.

Brand Loyalty: Build stronger brand loyalty by consistently delivering content that meets or exceeds audience expectations.

Future-Proofing: Preparing for future trends and changes in the industry is essential for sustained success:

Predictive Analytics: Use predictive models to forecast future trends and adapt strategies accordingly.

Adaptability: Stay agile and adaptable in response to changing market dynamics and audience preferences.

Long-Term Strategy: Develop long-term strategies based on data-driven insights to ensure continued growth and relevance.

Conclusion

Paramount Plus Movie Datasets are a powerful tool in the modern film industry's arsenal. By leveraging comprehensive data collection, advanced Paramount Plus movie data extraction techniques, and sophisticated analytics, Paramount Plus Pictures can make informed decisions that enhance content quality, optimize marketing efforts, and improve viewer engagement. The benefits of these datasets extend beyond immediate financial gains, positioning Paramount Plus for long-term success and innovation in an ever-evolving market.

As the industry continues to evolve, the importance of data will only grow, making OTT Scrape an indispensable asset for staying ahead of the curve. Whether it's through improved decision-making, enhanced audience satisfaction, competitive advantage, or future-proofing strategies, the use of data is reshaping the landscape of film production and distribution. Ensure your platform remains a leader in the entertainment industry by leveraging OTT Scrape. Discover the power of data-driven insights today!

Source - https://www.ottscrape.com/paramount-plus-movie-datasets-for-uses-and-benefits.php

[marketingscapers]

Mastering Facebook and Instagram Ads: A Complete Guide for Success

Ever wished you could reach more people with your business on Facebook and Instagram? Maybe you’ve dipped your toes into advertising but aren’t sure how to make it work for you. Well, you’re in luck! This guide will break down everything you need to know about mastering Facebook and Instagram Ads, using easy-to-understand words.

Why Facebook and Instagram Ads?

Imagine showing your product or service to exactly the kind of people who would love it. That’s the power of Facebook and Instagram Ads. These platforms let you target users based on things like age, location, and interests. So you can skip the shouting into the void and have real conversations with potential customers.

Getting Started

Before you jump in, it’s important to figure out what you want to achieve. Do you want more website visitors? More people signing up for your email list? Once you know your goal, you can set up your ad campaign.

Here’s a quick rundown of the steps:

Target Audience: Who are you trying to reach?

Ad Format: Photo? Video? There are lots of choices!

Budget and Bidding: How much are you willing to spend, and how will you pay for clicks or views?

Ad Creative: This is your message! Make it eye-catching and clear.

Track Results: See how your ads are doing and make adjustments as needed.

Making Your Ads Shine

Great ads aren’t just about fancy features. The key is to connect with your audience. Here are some tips:

Use high-quality images and videos. People scroll fast, so grab their attention.

Keep your copy short and sweet. Get to the point quickly and tell them what to do next.

Offer something valuable. Why should they click on your ad?

Marketing Scrapers in the US

Now, let’s talk about marketing scrapers in the US. These are tools that collect data from websites, and that data can be useful for informing your Facebook and Instagram Ads strategy. For instance, you could use a scraper to find out what hashtags your competitors are using or what kind of content resonates with their audience.

Important Note: It’s crucial to use marketing scrapers responsibly and ethically. Always follow the terms of service of any website you’re scraping data from.

Conclusion

Mastering Facebook and Instagram Ads takes time and practice, but with the right approach, you can reach a wider audience and grow your business. Remember, the key is to target the right people with clear, engaging messages. And hey, a little help from marketing scrapers (used responsibly) can’t hurt either!

[mariacallous]

On July 19, Bloomberg News reported what many others have been saying for some time: Twitter (now called X) was losing advertisers, in part because of its lax enforcement against hate speech. Quoted heavily in the story was Callum Hood, the head of research at the Center for Countering Digital Hate (CCDH), a nonprofit that tracks hate speech on social platforms, whose work has highlighted several instances in which Twitter has allowed violent, hateful, or misleading content to remain on the platform.

The next day, X announced it was filing a lawsuit against the nonprofit and the European Climate Foundation, for the alleged misuse of Twitter data leading to the loss of advertising revenue. In the lawsuit, X alleges that the data CCDH used in its research was obtained using the login credentials from the European Climate Foundation, which had an account with the third-party social listening tool Brandwatch. Brandwatch has a license to use Twitter’s data through its API. X alleges that the CCDH was not authorized to access the Twitter/X data. The suit also accuses the CCDH of scraping Twitter’s platform without proper authorization, in violation of the company’s terms of service.

X did not respond to WIRED’s request for comment.

“The Center for Countering Digital Hate’s research shows that hate and disinformation is spreading like wildfire on the platform under Musk’s ownership, and this lawsuit is a direct attempt to silence those efforts,” says Imran Ahmed, CEO of the CCDH.

Experts who spoke to WIRED see the legal action as the latest move by social media platforms to shrink access to their data by researchers and civil society organizations that seek to hold them accountable. “We're talking about access not just for researchers or academics, but it could also potentially be extended to advocates and journalists and even policymakers,” says Liz Woolery, digital policy lead at PEN America, a nonprofit that advocates for free expression. “Without that kind of access, it is really difficult for us to engage in the research necessary to better understand the scope and scale of the problem that we face, of how social media is affecting our daily life, and make it better.”

In 2021, Meta blocked researchers at New York University’s Ad Observatory from collecting data about political ads and Covid-19 misinformation. Last year, the company said it would wind down its monitoring tool CrowdTangle, which has been instrumental in allowing researchers and journalists to monitor Facebook. Both Meta and Twitter are suing Bright Data, an Israeli data collection firm, for scraping their sites. (Meta had previously contracted Bright Data to scrape other sites on its behalf.) Musk announced in March that the company would begin charging $42,000 per month for its API, pricing out the vast majority of researchers and academics who have used it to study issues like disinformation and hate speech in more than 17,000 academic studies.

There are reasons that platforms don’t want researchers and advocates poking around and exposing their failings. For years, advocacy organizations have used examples of violative content on social platforms as a way to pressure advertisers to withdraw their support, forcing companies to address problems or change their policies. Without the underlying research into hate speech, disinformation, and other harmful content on social media, these organizations would have little ability to force companies to change. In 2020, advertisers, including Starbucks, Patagonia, and Honda, left Facebook after the Meta platform was found to have a lax approach to moderating misinformation, particularly posts by former US president Donald Trump, costing the company millions.

As soon as Musk took over Twitter in late October 2022, he proceeded to fire many of the staff members responsible for keeping hate speech and misinformation off the platform and reinstated the accounts of users who had been previously banned, including Trump and influencer Andrew Tate, who is currently indicted under human trafficking laws in Romania. A study released earlier this year from the University of Southern California’s Information Sciences Institute, Oregon State University, UCLA, and UC Merced found that hate speech increased dramatically after Musk took the helm at Twitter. Over roughly the same time period, the company saw its advertising revenue slashed in half as brands—including General Motors, Pfizer, and United Airlines—fled the platform, apparently concerned about their products appearing next to misinformation and hate speech.

And this has bothered Musk, immensely. On November 4, 2022, he tweeted, “Twitter has had a massive drop in revenue, due to activist groups pressuring advertisers, even though nothing has changed with content moderation and we did everything we could to appease the activists. Extremely messed up! They’re trying to destroy free speech in America.”

PEN America’s Woolery worries that, whether or not X’s lawsuit against CCDH holds water, the cost of fighting it will be enough to intimidate other organizations doing similar work. “Lawsuits like this, especially when we are talking about a nonprofit, are definitely seen as an attempt to silence critics,” she says. “If a nonprofit or another individual is not in a financial position where they can really, truly give it all it takes to defend themselves, then they run the risk of either having a poor defense or of simply settling and just trying to get out of it to avoid incurring further costs and reputational damage.”

But the lawsuit doesn’t just put pressure on researchers themselves. It also highlights another avenue through which it now may be more difficult for advocates to access data: third-party social listening platforms. These companies access and analyze data from social platforms to allow their clients—from national security contractors to marketing agencies—to gain insights into their audiences and target messages.

Tal-Or Cohen Montemayor, founder and executive director of CyberWell, a nonprofit that tracks anti-Semitism online in both English and Arabic, says that in November 2022, shortly after Musk took ownership of the company, CyberWell reached out to Talkwalker, a third-party social listening company, to get a subscription that would allow them to analyze anti-Semitic speech on the platform then called Twitter.

Cohen Montemayor says Talkwalker told her the company could not take them on as a client because of the nature of CyberWell’s work. She says it appears that “the existing open source tools and social listening tools are being reserved and paywalled only for advertisers and paid researchers. Nonprofit organizations are actively being blocked from using these resources.”

Talkwalker did not respond to a request for comment about whether its agreements with X prohibit it from taking on organizations doing hate speech monitoring as clients. X did not respond to questions about what parameters it sets for the kinds of customers that third-party social listening companies can take on.

According to X’s lawsuit against CCDH, a 2023 agreement between Brandwatch and X outlined that any breach of X data via Brandwatch’s customers would be considered the responsibility of the social listening company. On X competitor Bluesky, Yoel Roth, the former senior director of trust and safety at Twitter, posted, “Brandwatch’s social listening business is entirely, completely, 100% dependent on Twitter data access, so I guess it’s not surprising to see how far backwards they’re bending to placate the company.”

For its part, in a July 20 tweet, Brandwatch referenced the same CCDH report cited in the X lawsuit, saying, “Recently, we were cited in an article about brand relevance that relied on incomplete and outdated data. It contained metrics used out of context to make unsubstantiated assertions about Twitter.”

Brandwatch did not respond to a request for comment.

But CCDH’s Ahmed says the assertion that his organization’s research is based on incomplete data is a way for X to obfuscate problems with its own platform. “Whenever you claim that you’ve found information on there, they just say, ‘No, it’s a lie. Only we have the data. You couldn't possibly know the truth. Only we know the truth. And we grade our own homework,’” he says.

A representative from another third-party social listening tool that uses X data, who asked to remain anonymous to protect their company from retaliation by X, confirmed to WIRED that companies like theirs are heavily reliant on Twitter/X data. “A lot of the services that are very Twitter-centric, a lot of them are 100 percent Twitter,” they say, noting that Instagram has long since shut down its API, and that conversations on Meta’s platforms tend not to be as public as those on X. “In terms of data, Twitter continues to play a significant role in providing data to analytics companies.” They note that, while X’s new paid-for API has put the squeeze on third-party analytics companies—“it’s basically almost like they’re holding you for ransom”—losing access to X data entirely could kill a company.

They add that they have not seen guidelines that restrict the use of X data for hate speech or advocacy research, but there are specific “know your customer” guidelines that prohibit sharing X data with government agencies without prior permission. The same day X announced the lawsuit, on July 31, America First Legal, a right-wing nonprofit led by former Trump appointee Stephen Miller, announced that it had filed Freedom of Information Act (FOIA) requests to examine communications between CCDH and various US government agencies, alleging that it is a “coordinator of illegal censorship activities.” (Ahmed says his organization has never coordinated with the US government). This would, if true, seemingly also be a violation of those terms of service.

The X lawsuit also alleges that the CCDH is being funded by X’s competitors as well as “government entities and their affiliates,” but says that “X Corp. currently lacks sufficient information to include the identities of these entities, organizations, and persons in this Complaint.”

Even without legal threats, there are significant costs to researchers focused on disinformation and hate speech on platforms. Experts who spoke to WIRED say they worry the threat of legal action could cause a chilling effect on other organizations that study hate speech and disinformation.

After publishing a report showing that anti-Semitic content had doubled on the platform after Musk’s takeover, Sasha Havlicek, cofounder and CEO of the Institute for Strategic Dialogue (ISD), a London-based think tank focused on extremism and disinformation, says the company experienced a deluge of abusive tweets. “In response, Twitter came out with a thread that got 3 million views or so,” she says. “Musk himself responded with a poop emoji.”

In December, Musk worked with right-wing journalists to release the so-called Twitter Files, a selection of internal documents that seemed to show that pre-Musk Twitter had silenced some conservative users. Some of the documents included the names and emails of disinformation researchers at the Stanford Internet Observatory, many of whom were undergraduate students at the time. One former student, who asked to remain anonymous for fear of harassment, says that people whose emails ended up in the Twitter Files have been targets of ongoing harassment for their role in disinformation research.

“Seeing how things have gone, and seeing the possibility of being harassed, has made a lot of people that worked on it very closely to now think twice,” says the former student.

“You have to ask,” says the ISD’s Havlicek. “Who’s the censor now?”

Havlicek says she hopes that the EU’s Digital Services Act (DSA), which will eventually mandate access for researchers to data from large social platforms, will be a road map for other countries. Whether there will be legal land mines regarding data pulled legally by European researchers under the DSA but shared with non-European researchers or advocates is another open question.

“I was in Brussels a few weeks ago talking to the Digital Services people about how we can use the data that will be made available through the DSA data transparency regime,” says Ahmed. “And when that appears, we will use that in the most effective way possible.”