# tiktok-crawling

> tiktok-crawling — romneyda-tiktok-crawling. Use this tool when you need to extract and analyze TikTok content, such as videos, hashtags, and user data, to solve problems like social media monitoring, influencer research, and content trends analysis. It takes in parameters like usernames, hashtags, and keywords as inputs and outputs relevant data, such as video metadata, engagement metrics, and user information. Ideal for use cases where social media intelligence, market research, or content strategy are required.

Canonical page: https://skillsregistry.net/skills/romneyda-tiktok-crawling  
JSON: https://api.skillsregistry.net/v1/skills/romneyda-tiktok-crawling

## Description

Use for TikTok crawling, content retrieval, and analysis.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** browser-automation
- **Updated:** 2026-09-25

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/romneyda-tiktok-crawling)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "romneyda-tiktok-crawling"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/romneyda-tiktok-crawling` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/romneyda-tiktok-crawling/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt