Agent skill

Tiktok Video Detail

TikTok single video detail scraper: input a TikTok video URL → output full video metadata (author profile, engagement stats, music, video meta, hashtags, mentions, slideshow images).

MITAuto-check passedData & Analytics

Install Tiktok Video Detail

skills CLI

$ npx skills add browser-act/skills --skill tiktok-video-detail -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install browser-act/skills tiktok-video-detail --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/solutions/video-platforms/tiktok-video-detail .claude/skills/tiktok-video-detail && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "tiktok-video-detail" agent skill from https://github.com/browser-act/skills/tree/main/solutions/video-platforms/tiktok-video-detail into .claude/skills/tiktok-video-detail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tiktok-video-detail", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/browser-act/skills/tree/main/solutions/video-platforms/tiktok-video-detail

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add browser-act/skills --skill tiktok-video-detail -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install browser-act/skills tiktok-video-detail --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/solutions/video-platforms/tiktok-video-detail .agents/skills/tiktok-video-detail && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "tiktok-video-detail" agent skill from https://github.com/browser-act/skills/tree/main/solutions/video-platforms/tiktok-video-detail into .agents/skills/tiktok-video-detail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tiktok-video-detail", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add browser-act/skills --skill tiktok-video-detail -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install browser-act/skills tiktok-video-detail --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/solutions/video-platforms/tiktok-video-detail .cursor/skills/tiktok-video-detail && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "tiktok-video-detail" agent skill from https://github.com/browser-act/skills/tree/main/solutions/video-platforms/tiktok-video-detail into .cursor/skills/tiktok-video-detail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tiktok-video-detail", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/browser-act/skills.git --path solutions/video-platforms/tiktok-video-detail

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add browser-act/skills --skill tiktok-video-detail -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install browser-act/skills tiktok-video-detail --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/solutions/video-platforms/tiktok-video-detail .gemini/skills/tiktok-video-detail && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "tiktok-video-detail" agent skill from https://github.com/browser-act/skills/tree/main/solutions/video-platforms/tiktok-video-detail into .gemini/skills/tiktok-video-detail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tiktok-video-detail", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install browser-act/skills tiktok-video-detail

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add browser-act/skills --skill tiktok-video-detail -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/solutions/video-platforms/tiktok-video-detail .github/skills/tiktok-video-detail && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "tiktok-video-detail" agent skill from https://github.com/browser-act/skills/tree/main/solutions/video-platforms/tiktok-video-detail into .github/skills/tiktok-video-detail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tiktok-video-detail", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add browser-act/skills --skill tiktok-video-detail -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install browser-act/skills tiktok-video-detail --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/solutions/video-platforms/tiktok-video-detail .opencode/skills/tiktok-video-detail && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "tiktok-video-detail" agent skill from https://github.com/browser-act/skills/tree/main/solutions/video-platforms/tiktok-video-detail into .opencode/skills/tiktok-video-detail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tiktok-video-detail", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: tiktok-video-detail
GitHub stars: 6.1k
Token cost: ~1.5k tokens
SKILL.md length: 438 words
Files: 2 (incl. scripts)
Skills in repo: 87
Repo updated: Aug 24, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

TikTok single video detail scraper: input a TikTok video URL → output full video metadata (author profile, engagement stats, music, video meta, hashtags, mentions, slideshow images).

Works in 3 steps: navigate {video_url} — e.g.,… → wait stable → eval "$(python…
User mentions TikTok video detail
SKILL.md covers Language, Objective, Prerequisites and Pre-execution Checks, plus 6 more sections
Runs Python scripts from its folder; calls python; reaches tiktok.com

What it does

Tiktok Video Detail is an agent skill from browser-act/skills. TikTok single video detail scraper: input a TikTok video URL → output full video metadata (author profile, engagement stats, music, video meta, hashtags, mentions, slideshow images). Use when user mentions TikTok video detail, get TikTok video data, extract TikTok video metadata, scrape single TikTok video, TikTok video info, extract single TikTok video info, TikTok single video collection, tiktok video scraper, tiktok video url scraper. Also applies to batch URL processing (given a list of TikTok video URLs…

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/extract-video-detail.py`).

It sits in Data & Analytics, covering Web scraping. It works with TikTok and Python. The repository describes itself as: Browser automation CLI built for AI agents. Break through anti-bot walls, hand off to humans across platforms when stuck. Parallel multi-task execution, independent multi-session… The licence is MIT.

When your agent uses it

User mentions TikTok video detail
Get TikTok video data
Extract TikTok video metadata
Scrape single TikTok video

Example prompts

“/tiktok-video-detail”

Requirements

Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

navigate {video_url} — e.g., https://www.tiktok.com/@marcusriosofficial/video/7212410220977392938
wait stable
eval "$(python scripts/extract-video-detail.py)"

What it can do on your machine

Read from SKILL.md and the folder at commit 11c057b. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- tiktok.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Tiktok Video Detail loads about 1.5k tokens when it runs. Until then it costs about 163 tokens; SKILL.md has 438 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~163
When it runs · the whole SKILL.md, loaded when a task matches: ~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from browser-act/skills at commit 11c057b, republished under its MIT licence (© browser-act). 438 words, ~1,451 tokens.

Download SKILL.mdSave it as .claude/skills/tiktok-video-detail/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: tiktok-video-detail
description: TikTok single video detail scraper: input a TikTok video URL → output full video metadata (author profile, engagement stats, music, video meta, hashtags, mentions, slideshow images). Use when user mentions TikTok video detail, get TikTok video data, extract TikTok video metadata, scrape single TikTok video, TikTok video info, extract single TikTok video info, TikTok single video collection, tiktok video scraper, tiktok video url scraper. Also applies to batch URL processing (given a list of TikTok video URLs, extract metadata for each), verifying specific video stats, or archiving individual TikTok posts with full metadata.

TikTok — Video Detail

TikTok video URL → full video metadata

Language

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

Objective

Extract complete metadata for a specific TikTok video by reading the SSR-embedded __UNIVERSAL_DATA_FOR_REHYDRATION__ data from the video detail page.

Prerequisites

Browser is open and can access https://www.tiktok.com
No login required for public videos
Browser must use a non-HK proxy (TikTok has shut down in Hong Kong)

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.

DOM: Extract video detail from SSR data

TikTok embeds full video metadata in a <script id="__UNIVERSAL_DATA_FOR_REHYDRATION__"> tag on every video detail page. No API call needed — data is available immediately after page load:

navigate {video_url} — e.g., https://www.tiktok.com/@marcusriosofficial/video/7212410220977392938
wait stable
eval "$(python scripts/extract-video-detail.py)"

Output example:

json

{
  "id": "7212410220977392938",
  "text": "Daily Push Up Workout🚀#fitness #athlete #strength",
  "textLanguage": "en",
  "createTime": "1679270124",
  "createTimeISO": "2023-03-19T23:55:24.000Z",
  "isAd": false,
  "isPinned": false,
  "isSponsored": false,
  "isSlideshow": false,   // true for photo/slideshow posts
  "locationCreated": "US",
  "webVideoUrl": "https://www.tiktok.com/@marcusriosofficial/video/7212410220977392938",
  "mediaUrls": [],
  "authorMeta": {
    "id": "6803405475100181510",
    "name": "marcusriosofficial",       // uniqueId / username
    "nickName": "Marcus Rios",
    "profileUrl": "https://www.tiktok.com/@marcusriosofficial",
    "verified": false,
    "signature": "Former NFL Athlete 🏈\n📧marcusriosofficial@gmail.com",
    "bioLink": null,
    "avatar": "https://...",
    "privateAccount": false,
    "fans": 423500,
    "following": 50,
    "heart": 10000000,
    "video": 1277,
    "digg": 869
  },
  "musicMeta": {
    "musicId": "7176546707423889410",
    "musicName": "Trap Money so Big (Remix)",
    "musicAuthor": "Iqbal12",
    "musicOriginal": false,
    "coverMediumUrl": "https://..."
  },
  "videoMeta": {
    "height": 1280,
    "width": 720,
    "duration": 48,
    "coverUrl": "https://...",
    "definition": "720p",
    "format": "mp4"
  },
  "diggCount": 367500,
  "shareCount": 6041,
  "playCount": 4500000,
  "collectCount": 56691,
  "commentCount": 942,
  "hashtags": [
    {"id": "9261", "name": "fitness"},
    {"id": "39142", "name": "athlete"}
  ],
  "mentions": [],
  "effectStickers": [],
  "slideshowImageLinks": []  // populated for slideshow/photo posts
}

Error response (video deleted or unavailable):

json

{"error": true, "message": "__UNIVERSAL_DATA_FOR_REHYDRATION__ not found — ensure you are on a TikTok video page"}

Pagination

Not applicable — this capability extracts a single video per URL.

Success Criteria

id is non-null, diggCount >= 0, authorMeta.name is non-null, videoMeta.duration > 0

Show full SKILL.md (190 more words)Show less

Known Limitations

Requires non-HK proxy (TikTok shut down in Hong Kong)
Deleted or private videos return an error (SSR data contains non-zero statusCode)
collectCount may be returned as a string in the SSR data — parse with parseInt() if needed
authorMeta.heart (total likes) may be truncated for very large accounts; authorStats.heart from the SSR itemStruct is the authoritative source
Video download URLs (playAddr, downloadAddr) are present in the SSR data but expire quickly — extract and use them immediately if needed

Execution Efficiency

Batch URL processing: Write a bash loop to navigate to each video URL, eval the extraction script, and save results. Add 1–2s between navigations.
Test before batch execution: Test with 1 URL first to confirm the script works, then run the full list.
Error resumption: Save results URL-by-URL; resume from the failed URL on error.

Experience Notes

Path: {working-directory}/browser-act-skill-forge-memories/tiktok-scraper-tiktok-video-detail.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, better path found), append a line: {YYYY-MM-DD}: {what happened} → {conclusion}

Normal execution does not write to the file.

Files

SKILL.md and 1 other file (scripts) in solutions/video-platforms/tiktok-video-detail of browser-act/skills.

SKILL.md
scripts/extract-video-detail.py

Open the folder on GitHubat commit 11c057b

Compare with similar skills

Tiktok Video Detail next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Tiktok Video Detail compared with similar skills
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Tiktok Video Detail this skillbrowser-act/skills	6.1k	—	~1.5k	Automated safety check: Pass	MIT	1 mo ago
Google Maps ScraperMahanaicoach/google-maps-scraper-kit	1.3k	—	~2.8k	Automated safety check: Pass	MIT	6 days ago
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Crawl4AI Web Scrapingsmallnest/goclaw	599	1 repos	~2.5k	Automated safety check: Pass	MIT	6 mo ago
Axyusukebe/ax	719	1 repos	~918	Automated safety check: Pass	MIT	2 mo ago
Python Executorcortega26/chile-hub	113	2 repos	~1.5k	Automated safety check: Pass	MIT	today

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Questions about Tiktok Video Detail

What does Tiktok Video Detail do?

TikTok single video detail scraper: input a TikTok video URL → output full video metadata (author profile, engagement stats, music, video meta, hashtags, mentions, slideshow images). Tiktok Video Detail is an agent skill from browser-act/skills. TikTok single video detail scraper: input a TikTok video URL → output full video metadata (author profile, engagement stats, music, video meta, hashtags, mentions, slideshow images).

When should I use Tiktok Video Detail?

Tiktok Video Detail fits situations like: user mentions TikTok video detail; get TikTok video data; extract TikTok video metadata; scrape single TikTok video.

How do I install Tiktok Video Detail in Claude Code?

Run `npx skills add browser-act/skills --skill tiktok-video-detail -a claude-code`. Or copy the skill folder (solutions/video-platforms/tiktok-video-detail in browser-act/skills) into .claude/skills/tiktok-video-detail in your project. Claude Code loads it when a task matches its description.

How do I install Tiktok Video Detail in Codex?

Run `npx skills add browser-act/skills --skill tiktok-video-detail -a codex`. Or copy the skill folder (solutions/video-platforms/tiktok-video-detail in browser-act/skills) into .agents/skills/tiktok-video-detail in your project. Codex loads it when a task matches its description.

Can I use Tiktok Video Detail in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add browser-act/skills --skill tiktok-video-detail -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tiktok-video-detail, .gemini/skills/tiktok-video-detail, .github/skills/tiktok-video-detail and .opencode/skills/tiktok-video-detail in your project.

What does Tiktok Video Detail need to run?

Going by SKILL.md and its folder, Tiktok Video Detail needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Tiktok Video Detail access the network?

SKILL.md names 1 domain. In commands or code: tiktok.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Tiktok Video Detail safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Tiktok Video Detail use?

Tiktok Video Detail is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Tiktok Video Detail use?

About 1.5k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Tiktok Video Detail?

Skills that share tags, products or a category with Tiktok Video Detail: Google Maps Scraper (Mahanaicoach/google-maps-scraper-kit, 1.3k stars), Boss Zhipin Scraper (eatmoreduck/boss-zhipin-scraper, 1.5k stars), Crawl4AI Web Scraping (smallnest/goclaw, 599 stars) and Ax (yusukebe/ax, 719 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tiktok Video Detail?

browser-act (a GitHub organization) maintains it in browser-act/skills, which has 6,126 GitHub stars. The repository holds 87 skills in this directory. The repository was last updated on August 24, 2026.

Source: browser-act/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Tiktok Video Detail

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

TikTok — Video Detail

Language

Objective

Prerequisites

Pre-execution Checks

1. Tool Readiness

Capability Components

DOM: Extract video detail from SSR data

Pagination

Success Criteria

Known Limitations

Execution Efficiency

Experience Notes

Files

Compare with similar skills

Similar skills

More from browser-act/skills

Related

Questions about Tiktok Video Detail