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#/
Connect your pipelines into Databricks warehouse.
How Datastreamer works
Quickly connect Apify's Facebook Comment Scraper and Databricks with a Datstreamer Pipeline.
Web data is an essential component of enterprise data pipelines, enabling organizations to integrate structured and unstructured data from partner APIs, legacy systems, and public web sources.
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
