TikTok keyword search video scraper: input search keyword → output paginated video list with full metadata (author, engagement stats, music, video meta). Use when user mentions TikTok search scraping, search TikTok by keyword, TikTok search results, extract TikTok search data, scrape TikTok videos by keyword, TikTok keyword videos, TikTok keyword search, TikTok search results collection, find TikTok videos by topic, tiktok search scraper, tiktok keyword scraper. Also applies to market research on TikTok content for specific topics, competitor content monitoring, or discovering videos and creators around a keyword.
npx skills add https://github.com/browser-act/skills --skill tiktok-search-videos
> search keyword → paginated video list with author, engagement, music, and video metadata
All process output to user (progress updates, process notifications) follows the user's language.
Extract TikTok video search results for a given keyword using the /api/search/item/full/ endpoint triggered by navigating to the search results page.
https://www.tiktok.comIf browser-act has been confirmed available in the current session → skip this step.
Invoke browser-act via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.
> This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. JS code is encapsulated in Python files under the scripts/ directory, invoked via eval "$(python scripts/xxx.py {params})". $(...) is bash syntax; it is recommended to use the bash tool for execution.
/api/search/item/full/ requires TikTok's dynamic signing; navigate to the search page to trigger it automatically:
navigate https://www.tiktok.com/search/video?q={keyword}wait stablenetwork requests --type xhr,fetch --filter "search/item/full"network request <id>Endpoint characteristic: URL contains /api/search/item/full/ with keyword={keyword}&cursor=0
Error handling: If no matching request appears after navigation, take a screenshot to verify the page loaded correctly (check for anti-bot challenge), then retry once.
Output example:
{
"status_code": 0,
"cursor": "12", // use to identify next-page requests
"has_more": 1, // 0 when all results exhausted
"item_list": [
{
"id": "7212410220977392938",
"desc": "Daily Push Up Workout🚀#fitness #athlete",
"createTime": 1679270124,
"isAd": false,
"locationCreated": "US",
"author": {
"uniqueId": "marcusriosofficial",
"nickname": "Marcus Rios",
"verified": false,
"signature": "Former NFL Athlete 🏈",
"avatarThumb": "https://...",
"privateAccount": false
},
"authorStats": {
"followerCount": 423500,
"followingCount": 50,
"heart": 10000000,
"videoCount": 1277,
"diggCount": 869
},
"stats": {
"diggCount": 367500,
"shareCount": 6041,
"playCount": 4500000,
"commentCount": 942,
"collectCount": 56691
},
"video": {
"duration": 48,
"height": 1280,
"width": 720,
"cover": "https://...",
"definition": "720p",
"format": "mp4"
},
"music": {
"id": "7176546707423889410",
"title": "Trap Money so Big (Remix)",
"authorName": "Iqbal12",
"original": false,
"coverMedium": "https://..."
},
"textExtra": [{"hashtagId": "9261", "hashtagName": "fitness"}],
"effectStickers": []
}
]
}
To build the webVideoUrl for each item: https://www.tiktok.com/@{item.author.uniqueId}/video/{item.id}
After reading page 1, scroll down to load the next page:
scroll downwait stablenetwork requests --type xhr,fetch --filter "search/item/full"cursor value is higher than the previous page (e.g., cursor=12, cursor=24)network request <id>Termination: has_more is 0 in response, or item_list is empty.
DOM Pagination: Scroll triggers new search/item/full requests. Each page returns 12 items. Cursor increments by 12 per page. Termination: has_more === 0 or empty item_list.
item_list.length >= 1 and first item has non-null id, stats.playCount, author.uniqueId
search/item/full requires dynamic signing — always use navigate + network capturesearch/item/full will not be triggered without an active TikTok session; exploration was done on a logged-in browser and this dependency was not caught at the timesearchQuery field is not returned in the raw API response bodyPath: {working-directory}/browser-act-skill-forge-memories/tiktok-scraper-tiktok-search-videos.memory.md
Before execution: If the file exists, read it first — it records unexpected situations from past executions; adjust strategy accordingly.
After execution: If an unexpected situation occurs (strategy failed, page redesigned, anti-scraping upgraded), append a line:
{YYYY-MM-DD}: {what happened} → {conclusion}
Normal execution does not write to the file.
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Take browser-act/tiktok-search-videos from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.