We’re always happy with any other questions you might have. Send us an email at [email protected]
Join Apify Community Actors with Apify's Facebook Groups Scraper
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Apify Community Actors
Apify community actors are 4,500+ ready-made tools for web scraping and browser automation, built and shared by developers on the Apify platform. These actors span thousands of websites, marketplaces, job boards, social media and news sources.
Perfect for Datastreamer pipelines, Apify actors make it easy to turn web content into structured data and stream it directly into your workflows. Run them on-demand or on a schedule using Jobs within your pipelines.
Get data via Apify's Facebook Groups Scraper. Just add one or multiple URLs of public groups you want to extract data from, then indicate a number of posts, and optionally, choose a sorting order and date filter.
For each given Facebook group URL, you will extract: post details, URLs, text, timestamp, feedback ID, engagements metrics (likes, shared, comments, reactions, type-breakdowns of reactions), user informations, attachment URLs, and tops comments with information.
Quickly connect Apify Community Actors and Apify's Facebook Groups Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Apify Community Actors
Enterprise data pipelines are built on the continuous flow of web data, which can originate from partner networks, internal infrastructures, or any external digital source.
Step 2
Add Apify's Facebook Groups Scraper with Unify or another transformer to combine schemas
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Apify Community Actors and Apify's Facebook Groups Scraper
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.