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 Comment Scraper with X (Twitter) Enterprise API

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 X (Twitter) Enterprise API

X (Twitter) official premium APIs.

How Datastreamer works

Quickly connect Apify's Facebook Comment Scraper and X (Twitter) Enterprise API with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Apify's Facebook Comment 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 X (Twitter) Enterprise API 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 Comment Scraper and X (Twitter) Enterprise API

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!