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Collect and extract posts, comments and user profiles on Parler.
Get data via Apify's Facebook Groups Scraper. Just add one or multiple URLs of public groups you want to extract data from, then indicate a number of posts, and optionally, choose a sorting order and date filter.
For each given Facebook group URL, you will extract: post details, URLs, text, timestamp, feedback ID, engagements metrics (likes, shared, comments, reactions, type-breakdowns of reactions), user informations, attachment URLs, and tops comments with information.
View Apify details: https://apify.com/apify/facebook-groups-scraper
Integrate to your Datastreamer pipelines: https://docs.datastreamer.io/docs/apify#/
How Datastreamer works
Quickly connect Open Measures Parler and Apify's Facebook Groups Scraper 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.
Make your web data work harder. With Datastreamer, you can enrich, filter, join, structure, store, or search data effortlessly using hundreds of out-of-the-box operations.
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.
Add Datastreamer components to your data stack and explore its full capabilities
