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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 Apify's Facebook Post Scraper with Bright Data Glassdoor Company Overviews

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 Glassdoor Company Overviews

Collect and extract Glassdoor company business overviews using URLs. Returns matching business overviews that include the company about, salaries information, reviews, and more.

How Datastreamer works

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

Step 1

Start your Pipeline with Apify's Facebook Post Scraper

Scalable data integration in the enterprise depends on ingesting heterogeneous web data sources. These include data from internal systems, ecosystem partners, and the broader web.

Step 2

Add Bright Data Glassdoor Company Overviews with Unify or another transformer to combine schemas

Transform your web data at scale with Datastreamer. Whether you're enriching, storing, joining, or filtering, you'll find hundreds of ready-made operations to help you move fast.

Step 3

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

Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.

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!