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]

Integrate  Apify Instagram Comments Scraper into Webhook

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

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

About Webhook

Use Webhooks with your pipelines.

How Datastreamer works

Quickly connect  Apify Instagram Comments Scraper and Webhook with a Datstreamer Pipeline.

Step 1

Start your Pipeline with  Apify Instagram Comments Scraper

Enterprise data pipelines are built on the continuous flow of web data, which can originate from partner networks, internal infrastructures, or any external digital source.

Step 2

Transform, and then add Webhook

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   Apify Instagram Comments Scraper and Webhook

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!