Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Historical combined datasets from across the web.
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#/
How Datastreamer works
Quickly connect Webz Web Archives and Apify's Facebook Groups Scraper with a Datstreamer Pipeline.
Web data is a critical input for enterprise data integration pipelines. Organizations can ingest data from multiple sources—including our partner network, internal enterprise systems, and publicly available web data—to create a unified, scalable data infrastructure.
Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.
Add Datastreamer components to your data stack and explore its full capabilities
