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Join Bright Data CNN News with Apify's Facebook Groups Scraper

Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.

About Bright Data CNN News

Collect and extract CNN news articles using URLs. Returns matching new articles that include the author, topics, publication data, images and videos.

About Apify's Facebook Groups Scraper

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 Bright Data CNN News and Apify's Facebook Groups Scraper with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data CNN News

Web data is an essential component of enterprise data pipelines, enabling organizations to integrate structured and unstructured data from partner APIs, legacy systems, and public web sources.

Step 2

Add Apify's Facebook Groups Scraper with Unify or another transformer to combine schemas

Boost your web data capabilities by applying a wide range of operations—enrich, augment, join, structure, filter, store, search, and more. With Datastreamer, you get access to hundreds of plug-and-play tools to power your workflows.

Step 3

That's it! You have just connected  Bright Data CNN News and Apify's Facebook Groups Scraper

Datastreamer makes working with web data simpler than ever. Easily enhance your Pipelines with new features and finally eliminate the operational roadblocks that once held you back.

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

We look forward to connecting with you.

Let us know if you're an existing customer or a new user, so we can help you get started!