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 eCommerce platform's product information using URLs or ASIN. Return matching product info that include the product's title, media, seller, brand, rating, category, labels, descriptions, variants, price, stock status, reviews and shipping options.
How Datastreamer works
Quickly connect Apify's Facebook Comment Scraper and Vetric eCommerce Product Listings with a Datstreamer Pipeline.
Web data plays a central role in enterprise data integration, serving as a primary input across pipelines. It can be sourced from partner networks, internal systems, or the open web to support scalable data workflows.
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
