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:
Use the Apify Facebook Post Scraper to get post data by adding one or multiple page URLs and the amount of posts you want to scrape.
You’ll get: Links, unique ID, timestamps, content types, captions, hashtags, mentions, likes, comments, shares, media info, post owner info, tags, and locations.
View Apify details: https://apify.com/apify/facebook-posts-scraper
Integrate to your Datastreamer pipelines: https://docs.datastreamer.io/docs/apify#/
How Datastreamer works
Quickly connect Apify Instagram Comments Scraper and Apify's Facebook Post Scraper with a Datstreamer Pipeline.
Effective enterprise integration requires diverse data inputs. Web data—whether from partner ecosystems, proprietary systems, or public sources—offers the scale and flexibility needed to drive data pipelines.
Supercharge your data pipeline! Apply operations like enrichment, structuring, joining, and filtering—Datastreamer gives you instant access to hundreds of plug-and-play data tools.
Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.
Add Datastreamer components to your data stack and explore its full capabilities
