Extract comments data from TikTok and deliver via Webhooks automatically
Navigate to the TikTok Comments scraper in Scrapernode. Select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 1 credit.
Add your endpoint URL in the Scrapernode webhook settings. Each completed job sends a POST request with the full JSON payload, including all output fields and metadata.
Paste the TikTok URLs you want to scrape — one per line, or upload a CSV. Scrapernode accepts direct profile links, search result URLs, and content 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.
When the job completes, Scrapernode delivers the full JSON payload to your endpoint. Each record includes 14 structured fields like url, post_url, post_id, post_date_created. Parse the payload in your application and process the data as needed.
Cost per record
1 credit
Output fields
14 fields
Destination
Webhooks
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 into Webhooks
Start extracting tiktok comments data and deliver via Webhooks in minutes.