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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 Comment Scraper with Bright Data Facebook

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

About Apify's Facebook Comment Scraper

Use the Apify Facebook Comment Scraper to collect comments from Facebook posts. Add the post URLs, set the number of comments you want, and optionally choose comment order and whether to include replies.

You’ll get: text, timestamps, like counts, commenter info, reply counts, urls, and nested replies.

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

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

About Bright Data Facebook

Extract data about profiles, posts, groups, events, marketplace, and more from facebook.com.

How Datastreamer works

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

Step 1

Start your Pipeline with Apify's Facebook Comment Scraper

Effective enterprise integration requires diverse data inputs. Web data—whether from partner ecosystems, proprietary systems, or public sources—offers the scale and flexibility needed to drive data pipelines.

Step 2

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

To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.

Step 3

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

With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.

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!