TikTok Comment Scraper

Read TikTok comment threads beside the video that prompted them. Keep text, author, date, likes, reply structure, video identity, and source link in one corpus.

The record

The dataset schema names every field before the run. The first working set is text, url, author, publishedAt, language, scrapedAt, videoId, commentId, parentCommentId, authorId, sourceUrl, and likes. Dataset views keep related fields together without changing the underlying row.

Captured row

{
  "commentId": "7626305494038659871",
  "videoId": "7626166185410825503",
  "likeCount": 4711,
  "replyCount": 2
}

Input

TikTok Comment Scraper accepts source URLs. Run controls stay in the same form.

Field	What it controls	Starting value
startUrls	Paste exact TikTok URLs, one per line.	["https://www.tiktok.com/@abcnews/video/7626166185410825503"]
maxItems	Stop after this many dataset rows.	100
maxSeconds	Stop after this many seconds and keep completed rows.	240

Example input

{
  "startUrls": [
    "https://www.tiktok.com/@abcnews/video/7626166185410825503"
  ],
  "maxItems": 12,
  "maxSeconds": 180
}

Price

$0.00001 per dataset item. Other Apify plans use the rates shown in the Pricing tab.

Console, API, schedules, and exports

Runs can begin in Apify Console, from a saved task, or through the Actor API. A schedule can reuse the same input. Completed rows remain in the run dataset for API retrieval and Apify dataset exports.

POST https://api.apify.com/v2/acts/SggJxmaG8quwCE6eE/runs
GET  https://api.apify.com/v2/datasets/{datasetId}/items

Saved tasks

Twenty task pages cover distinct research, comparison, operations, automation, and export jobs. The opening set is:

• TikTok comment thread sample: Review one TikTok record around text, url, author, and publishedAt. The saved task uses startUrls, maxItems, and maxSeconds and opens the overview view. Configured in TikTok Comment Scraper.
• TikTok comment response comparison: Compare TikTok comments using likes, replyCount, likeCount, and text. The stats view keeps the differences close together. Configured in TikTok Comment Scraper.
• TikTok comment source list: Process a saved TikTok input queue with startUrls, maxItems, and maxSeconds. Source and identifier fields remain visible in the identity view. Configured in TikTok Comment Scraper.
• TikTok comment author index: Index TikTok comments by text, url, author, and publishedAt. The saved input keeps the same matching fields from run to run. Configured in TikTok Comment Scraper.
• TikTok comment response register: Assemble a focused TikTok register centered on text, url, author, and publishedAt. The task keeps startUrls, maxItems, and maxSeconds visible for later review. Configured in TikTok Comment Scraper.
• TikTok comment engagement benchmark: Compare numeric and status fields across TikTok comments, led by likes, replyCount, likeCount, and commentId. Results open as the content table. Configured in TikTok Comment Scraper.

Related products

• TikTok Post Scraper
• TikTok Video Scraper
• Google Maps Review Scraper
• Instagram Comment Scraper
• Facebook Group Scraper

Support

Include the Actor ID, run ID, saved task name, and affected input when reporting an issue. That is enough to locate the run and its dataset.