
Extract public TikTok creator profile data using search URLs, including bio, follower counts, content performance and engagement metrics, without platform API limitations. Supports data export, API calls and third-party integrations.
TikTok Profile Data Scraper is an automated data extraction tool specifically designed to batch collect personal introduction, followers, content performance, engagement metrics, and other data from public TikTok creator accounts through search URLs. With CoreClaw, you can get structured data with zero coding, supporting precise business marketing decisions.
| 👤 User Name and ID | 📝 Personal Bio and Introduction |
| 🖼️ Avatar and Cover Photo | 👥 Follower Count Statistics |
| ➕ Following Count | 🎬 Video Publication Count |
| ❤️ Total Likes | 📊 Content Performance Metrics |
| 📈 Engagement Rate and Participation | 🔗 Profile Link |
CoreClaw TikTok Profile Data Scraper handles proxy rotation, task scheduling, data standardization, and final delivery in the background. In just a few minutes, you can get data by following these steps:
Copy search URLs from the TikTok search page. You can add a single search URL or batch add multiple search links.
Example: https://www.tiktok.com/search?lang=en&q=music

For your convenience, the output results are displayed in tables and tabs. You can choose to download the results in CSV/JSON format.
If you need to scrape other types of data, CoreClaw offers the following specialized toolsets optimized for different scraping scenarios.
You can export results in structured formats such as JSON, CSV, etc. They can be easily imported into databases, BI tools, or internal data analysis systems.
Each scraping task immediately extracts the latest public data from the target platform, ensuring results are synchronized with the platform without relying on any cache, thus guaranteeing data timeliness.
This tool only supports scraping publicly accessible profile information. For accounts set to private, the tool cannot extract data.
Yes. The tool can scrape engagement data such as likes, comments, shares under videos, and also extract related hashtags for tracking content heat and conducting trend analysis.
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