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

Join Apify's Facebook Groups Scraper with Bright Data Instagram

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

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#/

About Bright Data Instagram

Description

Collect and extract Instagram reels and posts by using profile URLs or keyword. Further augment your job using start or end dates, and post types.

How Datastreamer works

Quickly connect Apify's Facebook Groups Scraper and Bright Data Instagram with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Apify's Facebook Groups Scraper

Enterprise pipelines rely on web data as a key input layer. Whether sourced from strategic partners, internal platforms, or public web endpoints, this data enables seamless integration across business systems.

Step 2

Add Bright Data Instagram with Unify or another transformer to combine schemas

Datastreamer puts data control in your hands. Apply hundreds of operations—filter, enrich, structure, join, and beyond—to unlock the full value of your web data.

Step 3

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

Empower your data team with Datastreamer. Expand your web data Pipelines effortlessly and clear the operational hurdles that once limited your efficiency.

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!