Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Use the Apify Facebook Comment Scraper to collect comments from Facebook posts. Add the post URLs, set the number of comments you want, and optionally choose comment order and whether to include replies.
You’ll get: text, timestamps, like counts, commenter info, reply counts, urls, and nested replies.
View Apify details: https://apify.com/apify/facebook-comments-scraper
Integrate to your Datastreamer pipelines: https://docs.datastreamer.io/docs/apify#/
Collect and extract Indeed company profiles using URLs. Returns matching company profiles that include company description, reviews and more.
How Datastreamer works
Quickly connect Apify's Facebook Comment Scraper and Bright Data Indeed Company Overviews with a Datstreamer Pipeline.
In modern enterprise architecture, web data fuels integration pipelines by bridging internal systems with external data sources such as partner networks and publicly accessible web content.
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
