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Join Bright Data Github Code with Apify TikTok Comments Scraper
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Bright Data Github Code
Collect and extract code repositories on Github.
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 Github Code and Apify TikTok Comments Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Github Code
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.
Step 2
Add Apify TikTok Comments Scraper with Unify or another transformer to combine schemas
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Bright Data Github Code and Apify TikTok Comments Scraper
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.