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Join Bright Data CNN News with Apify's Facebook Comment Scraper
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Bright Data CNN News
Collect and extract CNN news articles using URLs. Returns matching new articles that include the author, topics, publication data, images and videos.
About Apify's Facebook Comment Scraper
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.
Quickly connect Bright Data CNN News and Apify's Facebook Comment Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data CNN News
Effective enterprise integration requires diverse data inputs. Web data—whether from partner ecosystems, proprietary systems, or public sources—offers the scale and flexibility needed to drive data pipelines.
Step 2
Add Apify's Facebook Comment Scraper with Unify or another transformer to combine schemas
Transform your web data at scale with Datastreamer. Whether you're enriching, storing, joining, or filtering, you'll find hundreds of ready-made operations to help you move fast.
Step 3
That's it! You have just connected Bright Data CNN News and Apify's Facebook Comment Scraper
Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.