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

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

Join Bright Data LinkedIn with Apify's Facebook Post Scraper

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

About Bright Data LinkedIn

Collect and extract LinkedIn company profiles and people profiles using URLs. Returns matching company that include the location, industry, number of employee; and people profile that include the location of the user, current company, experiences, number of connections and more.

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#/

How Datastreamer works

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

Step 1

Start your Pipeline with Bright Data LinkedIn

Enterprise-grade data pipelines begin with flexible data ingestion. Web data—sourced from partners, internal platforms, or the open internet—provides the raw inputs needed for integration and transformation.

Step 2

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

Make your web data work harder. With Datastreamer, you can enrich, filter, join, structure, store, or search data effortlessly using hundreds of out-of-the-box operations.

Step 3

That's it! You have just connected  Bright Data LinkedIn and Apify's Facebook Post Scraper

Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.

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!