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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 Comment Scraper with Bright Data Amazon Products

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 Amazon Products

Collect and extract Amazon product listings and pages content using keywords or domains. Returns matching product information that includes prices, image URLs, availability, descriptions, and more.

How Datastreamer works

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

Step 1

Start your Pipeline with Apify's Facebook Comment Scraper

Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.

Step 2

Add Bright Data Amazon Products with Unify or another transformer to combine schemas

Supercharge your data pipeline! Apply operations like enrichment, structuring, joining, and filtering—Datastreamer gives you instant access to hundreds of plug-and-play data tools.

Step 3

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

Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.

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!