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Join Bright Data CNN News with Apify TikTok Comments 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 TikTok Comments Scraper
Retrieve comments from videos by calling Apify's TikTok Comments Scraper. To set up this Actor, you will need to add TikTok video URLs to extract the comments from, the desired number of comments, and optionally, the maximum number of replies per comment.
For each TikTok video, you will extract:
Comment details: comment text, timestamp, and number of likes.
Commenter profile: username, ID, and avatar URL.
Engagement data: number of replies.
Post association: URL of the TikTok video the comment belongs to.
Quickly connect Bright Data CNN News and Apify TikTok Comments Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data CNN News
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.
Step 2
Add Apify TikTok Comments 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 TikTok Comments Scraper
Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.