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Join Bright Data Walmart with Apify TikTok Comments Scraper
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Bright Data Walmart
Collect and extract product listings on Warlmart's eCommerce site using keywords. Returns matching product listings that include the pricing, title, description, rating, images, specifications, reviews and more.
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 Walmart and Apify TikTok Comments Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Walmart
To support enterprise-scale data integration, pipelines must ingest web data from varied origins, including trusted partners, internal databases, and external web-based assets.
Step 2
Add Apify TikTok Comments Scraper with Unify or another transformer to combine schemas
Want to do more with your web data? Datastreamer offers hundreds of ready-to-use operations—filter, join, enrich, search, and more—to help you process and transform data at speed.
Step 3
That's it! You have just connected Bright Data Walmart and Apify TikTok Comments Scraper
With Datastreamer, web data integration is effortless. Add new capabilities to your Pipelines dynamically and solve the operational issues that used to complicate your process.