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Join Apify TikTok Comments Scraper with Bright Data Wikipedia
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
About Bright Data Wikipedia
Extract data about articles, categories, and contributors from en.wikipedia.org.
Quickly connect Apify TikTok Comments Scraper and Bright Data Wikipedia with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Apify TikTok Comments Scraper
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 Bright Data Wikipedia with Unify or another transformer to combine schemas
Take your web data further. From enrichment to filtering and everything in between, Datastreamer’s vast library of operations helps you act on your data fast—with no coding required.
Step 3
That's it! You have just connected Apify TikTok Comments Scraper and Bright Data Wikipedia
Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.