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TikTok Comments Scraper (clockworks/tiktok-comments-scraper) via StableApify
x402
TikTok Comments Scraper (clockworks/tiktok-comments-scraper) via StableApify is a paid API for AI agents from stableapify.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Starts an Apify actor run that scrapes comments, metadata, and engagement stats from a TikTok video or profile URL
Price / call$0.01
Success—
StatusUnknown
How this service works
Start the "TikTok Comments Scraper" Apify actor (clockworks/tiktok-comments-scraper). Extract TikTok comments. Just add a TikTok URL and get TikTok video and profile data: comments, URLs, numbers of shares, followers, hashtags, hearts, video, an…
Output
Returns an Apify actor run object with a run ID, status (READY), actor ID, start timestamp, default dataset ID where results will be stored, and a JWT token for polling the run. The actual scraped comments and engagement data (comment text, URLs, shares, followers, hashtags, hearts, video metadata) are stored in the referenced Apify dataset and must be fetched separately once the run completes.
Example use cases
Sentiment analysis on viral TikTok video
“Pull up to 200 comments from this viral TikTok video https://www.tiktok.com/@creator/video/987654321 so I can run sentiment analysis on the audience reactions.”
Influencer audience research for brand deal
“Scrape comments from the last TikTok video on @fitnessguru's profile — I need the comments along with follower counts and hashtags to evaluate if they're a good fit for our brand campaign.”
Competitor TikTok content monitoring
“Extract comments and engagement data — shares, hearts, and hashtags — from this TikTok post https://www.tiktok.com/@competitor/video/111222333, limit it to 100 items.”
Technical details
Endpoint
POSThttps://stableapify.dev/api/actors/clockworks/tiktok-comments-scraper/callWhen to prefer
Choose this endpoint when you need structured comment-level data from TikTok including engagement metrics (shares, hearts, hashtags, follower counts) rather than just post metadata. It is best for social listening, influencer vetting, sentiment analysis, and audience research workflows where raw comment text and interaction counts from TikTok are required. Prefer this over general web scrapers when you need TikTok-specific data fields parsed and normalized by an actor purpose-built for TikTok's structure.
Side effects
- Invalid or private TikTok URL returns an error or empty dataset
- TikTok rate limiting or anti-bot measures may cause partial or failed scrapes
- Actor run starts but times out if maxItems is too large or memory too low
- Invalid username format causes actor to fail during input validation
- Payment failure (x402) if USDC balance is insufficient
- Run enters FAILED status if TikTok changes its page structure
Input
{
"input": {
"username": "sarptecimer",
"includeEmail": false
},
"options": {
"memory": 256,
"maxItems": 100
}
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | object | Normalized actor input. See field descriptions for the simplified shape; native Apify input also accepted (passed through). |
| options | object | Optional Apify run options. |
Output
{
"run": {
"id": "xwCYAi8uDNX2SC1zk",
"status": "READY",
"actorId": "BDec00yAmCm1QbMEI",
"startedAt": "2026-06-16T17:43:37.522Z",
"usageTotalUsd": 0,
"defaultDatasetId": "Wj8CX4N1nEYMh7kGh"
},
"token": "eyJhbGciOiJIUzI1NiJ9.eyJydW5JZCI6Inh3Q1lBaTh1RE5YMlNDMXprIiwiYWN0b3JJZCI6ImNsb2Nrd29ya3MvdGlrdG9rLWNvbW1lbnRzLXNjcmFwZXIiLCJkZWZhdWx0RGF0YXNldElkIjoiV2o4Q1g0TjFuRVlNaDdrR2giLCJ3IjoiMHg5Y2M0MmYzZDkyNDViODY3YWNjY2Q2MzBiNDNmOTA2YzE2NjViMTc2IiwiaWF0IjoxNzgxNjMxODE3LCJleHAiOjE3ODQyMjM4MTd9.nNDsSxy4dl99EKNJW9vlmO0ic9zDJaTE8mk44gxmoF0"
}Tags
x402
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