Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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#/
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:
How Datastreamer works
Quickly connect Apify's Facebook Post Scraper and Apify Instagram Comments Scraper with a Datstreamer Pipeline.
Web data is a critical input for enterprise data integration pipelines. Organizations can ingest data from multiple sources—including our partner network, internal enterprise systems, and publicly available web data—to create a unified, scalable data infrastructure.
Take your web data further. From enrichment to filtering and everything in between, Datastreamer’s vast library of operations helps you act on your data fast—with no coding required.
Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.
Add Datastreamer components to your data stack and explore its full capabilities
