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Join Open Measures Fediverse with Apify Instagram Comments Scraper
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Open Measures Fediverse
Collect from a subset of instances that Open Measures users have identified as dangerous or worth investigating. From there, Open Measures crawl these instances for posts and user profiles, while identifying the Fediverse site where the content was posted.
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 Open Measures Fediverse and Apify Instagram Comments Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Fediverse
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.
Step 2
Add Apify Instagram Comments Scraper with Unify or another transformer to combine schemas
Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.
Step 3
That's it! You have just connected Open Measures Fediverse and Apify Instagram Comments Scraper
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.