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Join Bright Data CNN News with Apify Instagram 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 Instagram Comments Scraper
Retrieve comments from posts by calling Apify's Instagram Comments Scraper within your pipeline!
To set up this Actor, you will need to add Instagram posts or reels to extract the comments from, the desired number of comments, and optionally, the order of comments, and replies.
For each Instagram post, you will extract:
Comment details: comment text, timestamp, and number of likes.
Commenter profile: username, full name, profile picture URL, and account status (private or public).
Engagement data: number of replies and whether the commenter is verified.
Post association: URL of the Instagram post the comment belongs to.
Replies (if any): nested replies under the main comment.
Quickly connect Bright Data CNN News and Apify Instagram Comments Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data CNN News
For robust enterprise data integration, web data acts as a foundational source. It can be drawn from a variety of channels—including third-party partners, internal applications, and public web repositories.
Step 2
Add Apify Instagram Comments Scraper with Unify or another transformer to combine schemas
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.
Step 3
That's it! You have just connected Bright Data CNN News and Apify Instagram Comments Scraper
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.