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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 Reddit with  Apify Instagram Comments Scraper

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

About Bright Data Reddit

Collect and search for Reddit posts and post comments using URLs, keywords or subreddit.

About  Apify Instagram Comments Scraper

Retrieve comments from posts by calling Apify's Instagram Comments Scraper within your pipeline!

To set up this Actor, you will need to add Instagram posts or reels to extract the comments from, the desired number of comments, and optionally, the order of comments, and replies.

For each Instagram post, you will extract:

  • Comment details: comment text, timestamp, and number of likes.
  • Commenter profile: username, full name, profile picture URL, and account status (private or public).
  • Engagement data: number of replies and whether the commenter is verified.
  • Post association: URL of the Instagram post the comment belongs to.
  • Replies (if any): nested replies under the main comment.

Apify Instagram Post Scraper

How Datastreamer works

Quickly connect Bright Data Reddit and  Apify Instagram Comments Scraper with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Reddit

In modern enterprise architecture, web data fuels integration pipelines by bridging internal systems with external data sources such as partner networks and publicly accessible web content.

Step 2

Add  Apify Instagram Comments 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 Reddit and  Apify Instagram Comments 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!