I also tried with other groups, and I consistently achieved a performance above 20%. Extract data from hundreds of Facebook posts from one or multiple Facebook pages and profiles. We provide the Facebook Scraper service available with the DataExtractor extension for free for the first 500 rows. This Chrome add-on allows you to extract emails from Facebook groups, pages, and posts, making it an invaluable resource for targeted marketing campaigns and lead generation. This extracted data can then be used to generate high-quality leads. Introducing Facebook Email Extractor, a powerful tool developed by X2Emails. Today, I was able to extract emails from a 50k FB group with a performance of 32% (meaning that I obtained approximately 16k VERIFIED emails from those FB users). Group Extractor for FB is a tool that allows you to extract up to 3000 members from any Facebook group that you are a member of and save the data in a CSV file. facebook scraping hacktoberfest facebook-scraper facebook-scraping. I started working on a Facebook email extractor using various approaches, including AI. Scrape Facebook public pages without an API key. All of them had poor performances, ranging from 2% to 9% at best.Īfter this experience, I realized that there's a significant gap to fill. Push the information both to a CSV and a google sheet AND to your autoresponder. Collect, sort and extract all your facebook group members request questions and answers. Grow your OWN facebook group while also growing your email list, all on autopilot. GP LinkedIn & Facebook Groups Auto Poster. Extract facebook group members information when they join your group. Big companies and agencies 10/group/month. As your group grows, you need to start paying for it. The best possible dataset would be one taken from a Facebook Group, but after days and weeks of testing different platforms (all the popular and expensive ones), NONE were able to extract a significant dataset. Pricing: GroupsTracker offers a free plan for small groups just starting. A couple of months ago, I was working on a project that required a large email dataset to work on (I'm a Software Engineer).
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