Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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:
Data warehouse provided by Snowflake.
How Datastreamer works
Quickly connect Apify Instagram Comments Scraper and Snowflake Data Warehouse with a Datstreamer Pipeline.
Enterprise pipelines rely on web data as a key input layer. Whether sourced from strategic partners, internal platforms, or public web endpoints, this data enables seamless integration across business systems.
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.
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.
Add Datastreamer components to your data stack and explore its full capabilities
