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Integrate Apify Instagram Comments Scraper into Firehose
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.
Quickly connect Apify Instagram Comments Scraper and Firehose with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Apify Instagram Comments Scraper
To support enterprise-scale data integration, pipelines must ingest web data from varied origins, including trusted partners, internal databases, and external web-based assets.
Step 2
Transform, and then add Firehose
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 Instagram Comments Scraper and Firehose
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.