Scraping Linkedin Legal
Scraping LinkedIn in 2021: Is it Legal? – Medium
Photo by inlytics | LinkedIn Analytics Tool on UnsplashWeb scraping is essentially extracting data from certain platforms for further processing and transformation into useful outputs. While data scraping may be a sensitive topic in terms of data privacy and its legality, I will provide a breakdown as well as conclusions of a prominent LinkedIn scraping lawsuit as May 2017, LinkedIn sent hiQ, a web scraping company, a cease-and-desist letter where it asserted that hiQ was in violation of LinkedIn’s User Agreement. The letter demanded that hiQ stop accessing and copying data from LinkedIn’s server, stating that any future access by hiQ would be violating state and federal law, including the the Computer Fraud and Abuse Act (“CFAA”) and the Digital Millennium Copyright Act (“DMCA”) response, hiQ demanded that LinkedIn recognise hiQ’s right to access public pages on LinkedIn and sought a declaratory judgment, a conclusive decision by the court, that LinkedIn could not invoke, among other laws, the CFAA and DMCA against it. hiQ also requested a preliminary injunction against LinkedIn, seeking to prevent LinkedIn from acting on its cease-and-desist letter. The district court granted the preliminary injunction, ordering LinkedIn to withdraw the letter, remove technical barriers to hiQ’s access to public profiles, and refrain from implementing legal or technical measures to block hiQ’s access to public profiles until a ruling has been nkedIn appealed this decision to the US 9th Circuit Court of Appeals. In 2019, the 9th Circuit affirmed the district court’s preliminary that decision, LinkedIn has further appealed that decision to the US Supreme Court (SCOTUS), but it is unclear whether the court has agreed to hear the appeal. Until a judgment is released by SCOTUS, however, the decision by the 9th Circuit remains good observers have hailed the 9th Circuit decision as being a golden ticket permitting all types of web scraping, the issue is far more nuanced than that. In fact, the scope of the issue is extremely narrow, turning on the definition of “without authorization”. In hiQ’s own words, the question before SCOTUS is:QUESTION PRESENTED: Whether a professional networking website may rely on the Computer Fraud and Abuse Act’s prohibition on “intentionally access[ing] a computer without authorization” to prevent a competitor from accessing information that the website’s users have shared on their public profiles and that is available for viewing by anyone with a web unsel for hiQ in its brief to SCOTUSThe narrowness of the issue presented to SCOTUS by LinkedIn means that the court only has to decide on this one matter, and will not have to consider other potential issues arising from web scraping such as data privacy concerns, breach of contractual terms, or even violations of other state and federal laws. Optimistically, it can be inferred that because LinkedIn decided to pursue the case on this ground instead of through other causes of action, they are less likely to be potential issues for web scrapers. But the reality is that due to web scraping being a relatively new phenomenon, the law surrounding it remains underdeveloped and there is little legal clarity in the there is still a grey area regarding the legality of web scraping, we can say for certain that web scraping in itself remains legal. This is big news for both individuals and companies alike. With the large amount of data presented online, there is a tumultuous amount of information available that is difficult to obtain any useful insights from on its own. Thankfully, there are many web scrapers made available that are able to tidy up the necessary data and eliminate any white noises. Scraping popular platforms such as Reddit, Twitter, Facebook and especially LinkedIn can be extremely beneficial to companies, detailed in this individualsThe average Joe interested in exploring web scraping can probably get by with free web scraping APIs that can obtain small amounts of data. Some side projects to consider if you are interested in picking up web scraping would be scraping food review websites such as Yelp or Burpple and find the best fried chicken in your country or by scraping social media platforms such as Reddit and Twitter and conduct the necessary analysis to decide your next investment in the stock large-scale projects that require data of millions of individuals, it is definitely not feasible to rely on these free but slow web scraping APIs and wait weeks, if not months, for the data to be collected (if your computer does not overheat and crash by then) companiesApart from food review sites and social media platforms, LinkedIn seems to be the most relevant platform to scrape from for B2B companies. Depending on the magnitude of data you require, there are many paid LinkedIn scraping services that satisfy different needs. A comprehensive list of the top 5 varying LinkedIn scraping services can be found here. This provides a better understanding of what these different companies offer and find the service best suited to your companies’ data provided by the scraping services, businesses are able to use it for many functions:Updating its current database: Enrich current database with up-to-date dataLeads Generation for B2B sales: LinkedIn URL/email discoveryResearch: Use company data to predict market and industry trendsHuman Resource: Improves hiring for ATS and recruitment platformsInvestment (Venture Capitalists): Chart out company performances and decide which companies are performing wellAlumni (Universities): Find out distribution of their alumni based on location, industry or companies with further transformation of dataHere at Mantheos we conduct LinkedIn scraping legally, scraping data that is freely and publicly available on LinkedIn. This means that we collect data that is accessible to the general public. Compared to manually searching LinkedIn for people and company profiles, we automate this process for you and aggregate this information into readable files such as excel and json. By engaging our services, you can rest assured that we will provide data that is both safe as well as useful in your the legality of web scraping becomes clearer, we can safely say that many forms of web scraping are not deemed illegal by the courts and are permissible. Web scraping is an integral part of the big data revolution and is empowering millions of businesses around the world to optimise their business strategies. With web scraping becoming ever more ubiquitous, the myriad of privacy and contractual issues surrounding web scraping is growing more complex. This forms a potential stumbling block for both web scraping companies and end laws become more rigid and penalties for violations increase, it is now more important than ever before to ensure that your business is not exposed to unnecessary legal risk by unknowingly flouting data laws. Mantheos prides itself on ensuring that its business practices are fully compliant with all laws and regulations, regardless of jurisdiction. Yada ferences:hiQ Labs, Inc. v. LinkedIn Corp., №17–16783 (9th Cir. 2019)LinkedIn’s appeal to the US Court of Appeals
Scraping LinkedIn in 2021: Is it Legal? – Medium
Photo by inlytics | LinkedIn Analytics Tool on UnsplashWeb scraping is essentially extracting data from certain platforms for further processing and transformation into useful outputs. While data scraping may be a sensitive topic in terms of data privacy and its legality, I will provide a breakdown as well as conclusions of a prominent LinkedIn scraping lawsuit as May 2017, LinkedIn sent hiQ, a web scraping company, a cease-and-desist letter where it asserted that hiQ was in violation of LinkedIn’s User Agreement. The letter demanded that hiQ stop accessing and copying data from LinkedIn’s server, stating that any future access by hiQ would be violating state and federal law, including the the Computer Fraud and Abuse Act (“CFAA”) and the Digital Millennium Copyright Act (“DMCA”) response, hiQ demanded that LinkedIn recognise hiQ’s right to access public pages on LinkedIn and sought a declaratory judgment, a conclusive decision by the court, that LinkedIn could not invoke, among other laws, the CFAA and DMCA against it. hiQ also requested a preliminary injunction against LinkedIn, seeking to prevent LinkedIn from acting on its cease-and-desist letter. The district court granted the preliminary injunction, ordering LinkedIn to withdraw the letter, remove technical barriers to hiQ’s access to public profiles, and refrain from implementing legal or technical measures to block hiQ’s access to public profiles until a ruling has been nkedIn appealed this decision to the US 9th Circuit Court of Appeals. In 2019, the 9th Circuit affirmed the district court’s preliminary that decision, LinkedIn has further appealed that decision to the US Supreme Court (SCOTUS), but it is unclear whether the court has agreed to hear the appeal. Until a judgment is released by SCOTUS, however, the decision by the 9th Circuit remains good observers have hailed the 9th Circuit decision as being a golden ticket permitting all types of web scraping, the issue is far more nuanced than that. In fact, the scope of the issue is extremely narrow, turning on the definition of “without authorization”. In hiQ’s own words, the question before SCOTUS is:QUESTION PRESENTED: Whether a professional networking website may rely on the Computer Fraud and Abuse Act’s prohibition on “intentionally access[ing] a computer without authorization” to prevent a competitor from accessing information that the website’s users have shared on their public profiles and that is available for viewing by anyone with a web unsel for hiQ in its brief to SCOTUSThe narrowness of the issue presented to SCOTUS by LinkedIn means that the court only has to decide on this one matter, and will not have to consider other potential issues arising from web scraping such as data privacy concerns, breach of contractual terms, or even violations of other state and federal laws. Optimistically, it can be inferred that because LinkedIn decided to pursue the case on this ground instead of through other causes of action, they are less likely to be potential issues for web scrapers. But the reality is that due to web scraping being a relatively new phenomenon, the law surrounding it remains underdeveloped and there is little legal clarity in the there is still a grey area regarding the legality of web scraping, we can say for certain that web scraping in itself remains legal. This is big news for both individuals and companies alike. With the large amount of data presented online, there is a tumultuous amount of information available that is difficult to obtain any useful insights from on its own. Thankfully, there are many web scrapers made available that are able to tidy up the necessary data and eliminate any white noises. Scraping popular platforms such as Reddit, Twitter, Facebook and especially LinkedIn can be extremely beneficial to companies, detailed in this individualsThe average Joe interested in exploring web scraping can probably get by with free web scraping APIs that can obtain small amounts of data. Some side projects to consider if you are interested in picking up web scraping would be scraping food review websites such as Yelp or Burpple and find the best fried chicken in your country or by scraping social media platforms such as Reddit and Twitter and conduct the necessary analysis to decide your next investment in the stock large-scale projects that require data of millions of individuals, it is definitely not feasible to rely on these free but slow web scraping APIs and wait weeks, if not months, for the data to be collected (if your computer does not overheat and crash by then) companiesApart from food review sites and social media platforms, LinkedIn seems to be the most relevant platform to scrape from for B2B companies. Depending on the magnitude of data you require, there are many paid LinkedIn scraping services that satisfy different needs. A comprehensive list of the top 5 varying LinkedIn scraping services can be found here. This provides a better understanding of what these different companies offer and find the service best suited to your companies’ data provided by the scraping services, businesses are able to use it for many functions:Updating its current database: Enrich current database with up-to-date dataLeads Generation for B2B sales: LinkedIn URL/email discoveryResearch: Use company data to predict market and industry trendsHuman Resource: Improves hiring for ATS and recruitment platformsInvestment (Venture Capitalists): Chart out company performances and decide which companies are performing wellAlumni (Universities): Find out distribution of their alumni based on location, industry or companies with further transformation of dataHere at Mantheos we conduct LinkedIn scraping legally, scraping data that is freely and publicly available on LinkedIn. This means that we collect data that is accessible to the general public. Compared to manually searching LinkedIn for people and company profiles, we automate this process for you and aggregate this information into readable files such as excel and json. By engaging our services, you can rest assured that we will provide data that is both safe as well as useful in your the legality of web scraping becomes clearer, we can safely say that many forms of web scraping are not deemed illegal by the courts and are permissible. Web scraping is an integral part of the big data revolution and is empowering millions of businesses around the world to optimise their business strategies. With web scraping becoming ever more ubiquitous, the myriad of privacy and contractual issues surrounding web scraping is growing more complex. This forms a potential stumbling block for both web scraping companies and end laws become more rigid and penalties for violations increase, it is now more important than ever before to ensure that your business is not exposed to unnecessary legal risk by unknowingly flouting data laws. Mantheos prides itself on ensuring that its business practices are fully compliant with all laws and regulations, regardless of jurisdiction. Yada ferences:hiQ Labs, Inc. v. LinkedIn Corp., №17–16783 (9th Cir. 2019)LinkedIn’s appeal to the US Court of Appeals
Is Web Scraping Illegal? Depends on What the Meaning of the Word Is
Depending on who you ask, web scraping can be loved or hated.
Web scraping has existed for a long time and, in its good form, it’s a key underpinning of the internet. “Good bots” enable, for example, search engines to index web content, price comparison services to save consumers money, and market researchers to gauge sentiment on social media.
“Bad bots, ” however, fetch content from a website with the intent of using it for purposes outside the site owner’s control. Bad bots make up 20 percent of all web traffic and are used to conduct a variety of harmful activities, such as denial of service attacks, competitive data mining, online fraud, account hijacking, data theft, stealing of intellectual property, unauthorized vulnerability scans, spam and digital ad fraud.
So, is it Illegal to Scrape a Website?
So is it legal or illegal? Web scraping and crawling aren’t illegal by themselves. After all, you could scrape or crawl your own website, without a hitch.
Startups love it because it’s a cheap and powerful way to gather data without the need for partnerships. Big companies use web scrapers for their own gain but also don’t want others to use bots against them.
The general opinion on the matter does not seem to matter anymore because in the past 12 months it has become very clear that the federal court system is cracking down more than ever.
Let’s take a look back. Web scraping started in a legal grey area where the use of bots to scrape a website was simply a nuisance. Not much could be done about the practice until in 2000 eBay filed a preliminary injunction against Bidder’s Edge. In the injunction eBay claimed that the use of bots on the site, against the will of the company violated Trespass to Chattels law.
The court granted the injunction because users had to opt in and agree to the terms of service on the site and that a large number of bots could be disruptive to eBay’s computer systems. The lawsuit was settled out of court so it all never came to a head but the legal precedent was set.
In 2001 however, a travel agency sued a competitor who had “scraped” its prices from its Web site to help the rival set its own prices. The judge ruled that the fact that this scraping was not welcomed by the site’s owner was not sufficient to make it “unauthorized access” for the purpose of federal hacking laws.
Two years later the legal standing for eBay v Bidder’s Edge was implicitly overruled in the “Intel v. Hamidi”, a case interpreting California’s common law trespass to chattels. It was the wild west once again. Over the next several years the courts ruled time and time again that simply putting “do not scrape us” in your website terms of service was not enough to warrant a legally binding agreement. For you to enforce that term, a user must explicitly agree or consent to the terms. This left the field wide open for scrapers to do as they wish.
Fast forward a few years and you start seeing a shift in opinion. In 2009 Facebook won one of the first copyright suits against a web scraper. This laid the groundwork for numerous lawsuits that tie any web scraping with a direct copyright violation and very clear monetary damages. The most recent case being AP v Meltwater where the courts stripped what is referred to as fair use on the internet.
Previously, for academic, personal, or information aggregation people could rely on fair use and use web scrapers. The court now gutted the fair use clause that companies had used to defend web scraping. The court determined that even small percentages, sometimes as little as 4. 5% of the content, are significant enough to not fall under fair use. The only caveat the court made was based on the simple fact that this data was available for purchase. Had it not been, it is unclear how they would have ruled. Then a few months back the gauntlet was dropped.
Andrew Auernheimer was convicted of hacking based on the act of web scraping. Although the data was unprotected and publically available via AT&T’s website, the fact that he wrote web scrapers to harvest that data in mass amounted to “brute force attack”. He did not have to consent to terms of service to deploy his bots and conduct the web scraping. The data was not available for purchase. It wasn’t behind a login. He did not even financially gain from the aggregation of the data. Most importantly, it was buggy programing by AT&T that exposed this information in the first place. Yet Andrew was at fault. This isn’t just a civil suit anymore. This charge is a felony violation that is on par with hacking or denial of service attacks and carries up to a 15-year sentence for each charge.
In 2016, Congress passed its first legislation specifically to target bad bots — the Better Online Ticket Sales (BOTS) Act, which bans the use of software that circumvents security measures on ticket seller websites. Automated ticket scalping bots use several techniques to do their dirty work including web scraping that incorporates advanced business logic to identify scalping opportunities, input purchase details into shopping carts, and even resell inventory on secondary markets.
To counteract this type of activity, the BOTS Act:
Prohibits the circumvention of a security measure used to enforce ticket purchasing limits for an event with an attendance capacity of greater than 200 persons.
Prohibits the sale of an event ticket obtained through such a circumvention violation if the seller participated in, had the ability to control, or should have known about it.
Treats violations as unfair or deceptive acts under the Federal Trade Commission Act. The bill provides authority to the FTC and states to enforce against such violations.
In other words, if you’re a venue, organization or ticketing software platform, it is still on you to defend against this fraudulent activity during your major onsales.
The UK seems to have followed the US with its Digital Economy Act 2017 which achieved Royal Assent in April. The Act seeks to protect consumers in a number of ways in an increasingly digital society, including by “cracking down on ticket touts by making it a criminal offence for those that misuse bot technology to sweep up tickets and sell them at inflated prices in the secondary market. ”
In the summer of 2017, LinkedIn sued hiQ Labs, a San Francisco-based startup. hiQ was scraping publicly available LinkedIn profiles to offer clients, according to its website, “a crystal ball that helps you determine skills gaps or turnover risks months ahead of time. ”
You might find it unsettling to think that your public LinkedIn profile could be used against you by your employer.
Yet a judge on Aug. 14, 2017 decided this is okay. Judge Edward Chen of the U. S. District Court in San Francisco agreed with hiQ’s claim in a lawsuit that Microsoft-owned LinkedIn violated antitrust laws when it blocked the startup from accessing such data. He ordered LinkedIn to remove the barriers within 24 hours. LinkedIn has filed to appeal.
The ruling contradicts previous decisions clamping down on web scraping. And it opens a Pandora’s box of questions about social media user privacy and the right of businesses to protect themselves from data hijacking.
There’s also the matter of fairness. LinkedIn spent years creating something of real value. Why should it have to hand it over to the likes of hiQ — paying for the servers and bandwidth to host all that bot traffic on top of their own human users, just so hiQ can ride LinkedIn’s coattails?
I am in the business of blocking bots. Chen’s ruling has sent a chill through those of us in the cybersecurity industry devoted to fighting web-scraping bots.
I think there is a legitimate need for some companies to be able to prevent unwanted web scrapers from accessing their site.
In October of 2017, and as reported by Bloomberg, Ticketmaster sued Prestige Entertainment, claiming it used computer programs to illegally buy as many as 40 percent of the available seats for performances of “Hamilton” in New York and the majority of the tickets Ticketmaster had available for the Mayweather v. Pacquiao fight in Las Vegas two years ago.
Prestige continued to use the illegal bots even after it paid a $3. 35 million to settle New York Attorney General Eric Schneiderman’s probe into the ticket resale industry.
Under that deal, Prestige promised to abstain from using bots, Ticketmaster said in the complaint. Ticketmaster asked for unspecified compensatory and punitive damages and a court order to stop Prestige from using bots.
Are the existing laws too antiquated to deal with the problem? Should new legislation be introduced to provide more clarity? Most sites don’t have any web scraping protections in place. Do the companies have some burden to prevent web scraping?
As the courts try to further decide the legality of scraping, companies are still having their data stolen and the business logic of their websites abused. Instead of looking to the law to eventually solve this technology problem, it’s time to start solving it with anti-bot and anti-scraping technology today.
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Frequently Asked Questions about scraping linkedin legal
Is scraping data from LinkedIn legal?
Moving forward with Mantheos. Here at Mantheos we conduct LinkedIn scraping legally, scraping data that is freely and publicly available on LinkedIn. This means that we collect data that is accessible to the general public.Jun 15, 2021
Is Web scraping Legal 2021?
Web scraping and crawling aren’t illegal by themselves. After all, you could scrape or crawl your own website, without a hitch. … Big companies use web scrapers for their own gain but also don’t want others to use bots against them.
