Facebook Scraper 2022: How to Scrape Facebook Group with Python
Do you have an interest in scraping user profiles or any user-generated content such as posts, comments, images, and even videos from Facebook? Then come in now and see how to scrape them and the best Facebook scrapers in the market.
Facebook is a huge database of user-generated content. If you know what you are doing, data from Facebook can be used to better understand your audience for business and political gains. This can be seen from how Cambridge Analytica uses users’ profile data and generated posts to create psychographic profiles for the purpose of campaigns. Researchers can use users’ posts or post in groups and comments to carry out sentimental analysis and discover the intent of a user or a group of users. The thing is, there is a whole lot of things you can do with data from Facebook.
However, getting your hand on the required data is the problem. Facebook provides an API for collecting user-profiles and user-generated content on their platform, but the truth is this – it is very limiting and restrictive by nature that you can’t use the collected data for what you need data for. The only option available to you is to scrape the required data using a Facebook data scraping tool popularly known as Facebook scrapers. If you have coding skills, you can develop one yourself, and if you don’t, you have to use already made tools in the market.
Before making recommendations on the best tools to use and how to go about scraping Facebook, let take a look at an overview of scraping Facebook.
Facebook is not your regular website with a limited budget. Facebook, as a company, has a huge budget, and thousands of staff and a good number of these are dedicated to preventing spam on their platforms. The truth is, scraping Facebook is not an easy task, and a good number of web scrapers give up on the idea of scraping Facebook after so many failed attempts.
This is because Facebook has a very strong anti-bot system in place, which goes much more than just IP tracking. Facebook has suffered a lot of backlash from users anytime huge user data is collected from their platform. The biggest and being the Facebook – Cambridge Analytica data scandal.
Because of the lost and backlashes, Facebook has tightened its anti-bot system to prevent scrapers and crawlers from accessing its site, and as such, scraping Facebook at a reasonable scale is a difficult task that will cost you a lot of money.
Even when successful, you risk getting the hammer of the Facebook legal team on you – and this could mean you paying a huge sum of money to even getting a jail term depending on what you use the collected data for. Even with these risks in place, businesses and researchers are still scraping Facebook unnoticed.If you also want to partake in the scraping, then continue reading.
Recommended Use 007Data
007Data, Generate different countrys phone number, filter active users list in social media, WhatsApp, Facebook, Instagram, Twitter, etc. by HiSeven
007Data has the following functions
Generate Number：Generate bulk phone number randomly
Global Coverage：You can choose the area of phone numbers you want to generate, we support most of contries phone segment for users.
Filter Social Media Users：Input phone number list and filter those are users of your targeted social media