Build a Source-Linked TikTok Comment Corpus
Collect public comments and replies from selected TikTok videos to create a grounded text corpus for tagging, coding, or review.
Input
Output fields
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The TikTok Video Comments Scraper — Replies & Authors Actor is ready to run with the inputs already set for "Build a Source-Linked TikTok Comment Corpus". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Build a Source-Linked TikTok Comment Corpus" task
The TikTok Video Comments Scraper — Replies & Authors Actor will start running based on the input automatically. You can also change all the input fields, like tiktok video urls, include replies, and more, to match your specific use case.
Receive the "Build a Source-Linked TikTok Comment Corpus" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as comment id, author username, comment text, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Build a Source-Linked TikTok Comment Corpus" task via API.
Integrate "Build a Source-Linked TikTok Comment Corpus" into your workflow
Connect "Build a Source-Linked TikTok Comment Corpus" with 100+ integrations, or run it via API or MCP.
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