A comprehensive TikTok data integration providing live access to creator profiles, video analytics, and trending market insights without manual scraping.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tiktok-scraper
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install tiktok-scraper using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
CreatorCrawl is a robust data integration for Openclaw Skills that bridges the gap between AI agents and the TikTok ecosystem. It provides real-time access to 19 different endpoints, allowing developers and researchers to pull structured JSON data for profiles, video statistics, comments, and even AI-powered transcripts. Unlike traditional scraping methods, this skill utilizes a stable API to ensure high-fidelity data retrieval for social media monitoring and content analysis.
By incorporating this skill into your workflow, you can automate the discovery of trending hashtags, monitor creator performance, and perform deep-dive research into viral content. It is designed for high performance with no rate limits on paid tiers, making it an essential tool for high-scale social media intelligence and multi-agent AI research teams.
To deploy this integration within your Openclaw Skills environment, follow these steps:
The skill produces structured JSON outputs tailored to each endpoint. Data is organized into logical taxonomies as follows:
| Data Group | Key Attributes |
|---|---|
| Creator Profiles | user_id, nickname, followerCount, heartCount, verified status |
| Video Analytics | play_count, digg_count, share_count, comment_count, duration |
| Content | hashtags, music_info, transcripts (text), video dimensions |
| Search/Trends | aweme_list, trending_rank, surging_status, industry_category |
| Pagination | cursor, min_time, max_cursor |
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