Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
View Apify details: https://apify.com/apify/facebook-groups-scraper
Integrate to your Datastreamer pipelines: https://docs.datastreamer.io/docs/apify#/
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.
View Apify details: https://apify.com/store
Integrate to your Datastreamer pipelines: https://docs.datastreamer.io/docs/apify#/
How Datastreamer works
Quickly connect Apify's Facebook Groups Scraper and Apify Community Actors with a Datstreamer Pipeline.
Effective enterprise integration requires diverse data inputs. Web data—whether from partner ecosystems, proprietary systems, or public sources—offers the scale and flexibility needed to drive data pipelines.
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.
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.
Add Datastreamer components to your data stack and explore its full capabilities
