Tiktok Search Videos logo

Tiktok Search Videos

OrganizationPopular
browser-act
tiktok-search-videos

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.

Overview

Publisherbrowser-act
Repositoryskills
Skill nametiktok-search-videos
Stars
6.1K
Forks
310
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by browser-act on GitHub. Read the source before you install it.

Installation

Install the Tiktok Search Videos AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/browser-act/skills/tree/main/solutions/video-platforms/tiktok-search-videos
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/browser-act/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/solutions/video-platforms/tiktok-search-videos .claude/skills/tiktok-search-videos
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tiktok Search Videos in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tiktok Search Videos on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tiktok Search Videos is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

TikTok — Search Videos

search keyword → paginated video list with author, engagement, music, and video metadata

Language

All process output to user (progress updates, process notifications) follows the user's language.

Objective

Extract TikTok video search results for a given keyword using the /api/search/item/full/ endpoint triggered by navigating to the search results page.

Prerequisites

  • Browser is open and can access https://www.tiktok.com
  • Login required: TikTok blocks video search API for non-logged-in users; ensure the browser has an active TikTok session

Pre-execution Checks

1. Tool Readiness

If 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.

Capability Components

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.

Network Capture: Search video results (parameters injected via URL navigation)

/api/search/item/full/ requires TikTok's dynamic signing; navigate to the search page to trigger it automatically:

  1. navigate https://www.tiktok.com/search/video?q={keyword}
  2. wait stable
  3. network requests --type xhr,fetch --filter "search/item/full"
  4. 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:

json
{
  "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}

Network Capture: Search results pagination (page 2+)

After reading page 1, scroll down to load the next page:

  1. scroll down
  2. wait stable
  3. network requests --type xhr,fetch --filter "search/item/full"
  4. Find the request where the URL cursor value is higher than the previous page (e.g., cursor=12, cursor=24)
  5. network request <id>

Termination: has_more is 0 in response, or item_list is empty.

Pagination

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.

Success Criteria

item_list.length >= 1 and first item has non-null id, stats.playCount, author.uniqueId

Known Limitations

  • search/item/full requires dynamic signing — always use navigate + network capture
  • Login required: TikTok blocks the video search API for non-logged-in users — search/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 time
  • Search returns ~12 videos per page (fewer than hashtag's 30 per page)
  • Logged-in users may see personalized results; use a fresh browser session for unbiased results
  • searchQuery field is not returned in the raw API response body

Execution Efficiency

  • Batch orchestration: Loop multiple keywords serially in one session; add 2–3s between navigations.
  • Test before batch execution: Test with 1 keyword first before running the full list.
  • Error resumption: Save results keyword-by-keyword; resume from the failed keyword on error.

Experience Notes

Path: {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.

Frequently asked questions

What does the Tiktok Search Videos AI skill do?

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 cr...

Why use Tiktok Search Videos on TypingMind?

Because you install it once and use it with any model. Tiktok Search Videos is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tiktok Search Videos in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/browser-act/skills/tree/main/solutions/video-platforms/tiktok-search-videos. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Tiktok Search Videos?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tiktok Search Videos?

As many as you like. As long as a model supports skills, you can use Tiktok Search Videos with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tiktok Search Videos AI skill free?

Yes. It is published on GitHub by browser-act under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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