Extract comments data from TikTok at scale
Navigate to the TikTok Comments scraper and select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 1 credit.
Paste the TikTok URLs you want to scrape — one per line, or upload a CSV. Scrapernode accepts direct profile links, search result URLs, and hashtag pages.
Click "Start Extraction" to begin. Scrapernode handles proxy rotation, rate limiting, and anti-bot detection automatically. Jobs typically complete in under 60 seconds per batch.
Once complete, download your results as JSON or CSV. Each record includes 14 structured fields like url, post_url, post_id, post_date_created, and more.
Set up webhooks to receive data automatically when jobs complete, or use the REST API for programmatic scraping. Integrate with n8n, Make, or Zapier for workflow automation.
Cost per record
1 credit
Output fields
14 fields
Output formats
JSON, CSV
Preview the data you'll receive — 5 sample records
14 fields returned per record
URL of the TikTok video (100.00% fill rate)
Post web address (100.00% fill rate)
Unique post identifier (100.00% fill rate)
Date of post creation (95.73% fill rate)
Comment creation date (100.00% fill rate)
Comment content (99.38% fill rate)
Number of likes on the comment (100.00% fill rate)
Number of replies to the comment (100.00% fill rate)
Commenter's username (99.93% fill rate)
Commenter's unique identifier (100.00% fill rate)
Commenter's profile URL (100.00% fill rate)
The unique ID for the comment (55.19% fill rate)
The URL for the comment (55.19% fill rate)
Replies to the comment (0.00% fill rate)
Sub-fields
textTextReply textusernameTextReply author usernamelikesNumberReply likes counttimestampTextReply timestampCommon questions about How to Scrape TikTok Comments
Start extracting tiktok comments data in minutes. No code required — just paste your URLs and go.