Experience Seamless Data Integration Yourself

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

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Questions?

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

Join Apify's Facebook Post Scraper with Bright Data LinkedIn Company Profiles

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

About Apify's Facebook Post Scraper

Use the Apify Facebook Post Scraper to get post data by adding one or multiple page URLs and the amount of posts you want to scrape.

You’ll get: Links, unique ID, timestamps, content types, captions, hashtags, mentions, likes, comments, shares, media info, post owner info, tags, and locations.

View Apify details: https://apify.com/apify/facebook-posts-scraper

Integrate to your Datastreamer pipelines: https://docs.datastreamer.io/docs/apify#/

About Bright Data LinkedIn Company Profiles

How Datastreamer works

Quickly connect Apify's Facebook Post Scraper and Bright Data LinkedIn Company Profiles with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Apify's Facebook Post Scraper

Web data plays a central role in enterprise data integration, serving as a primary input across pipelines. It can be sourced from partner networks, internal systems, or the open web to support scalable data workflows.

Step 2

Add Bright Data LinkedIn Company Profiles 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  Apify's Facebook Post Scraper and Bright Data LinkedIn Company Profiles

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!