| What it does | Export followers and following lists from any public TikTok profile
| One API for all stores. Ecommerce data for AI agents.
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Paid
| Paid
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| Pricing | $0.001 per run start, $0.00039 per account (1,000 followers approximately $0.39, newest 10,000 followers approximately $3.90). Profiles not found and filtered accounts are free.
| Lookup & Parse: $2 per 1,000 requests. Search: $14 per 1,000 requests. Free credit: $5 every month per organization. Only successful 2xx responses are billed. Purchased credit never expires.
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| Key features | - Export followers and following lists as CSV, Excel, JSON or HTML
- Filter by minimum or maximum followers, verified accounts, email in bio and keywords
- Track new followers and unfollows with scheduled runs
- Up to 10,000 newest followers per profile
- Account data includes username, bio, email, follower count, likes, videos and follow time
- No TikTok login or cookies required
- Use from code or AI agents via API
| - Search across multiple e-commerce stores with catalog coverage of 3,718 stores and over 7 million products
- Parse any product page into structured, normalized schema automatically
- Find similar products across different domains and stores
- Brand search and profile data with coverage and top categories
- Live catalog that auto-updates when stores redesign or change
- Enriched product attributes including fit, fabric, scent notes, and category-specific facets
- Fast response time of approximately 100 milliseconds per request
- Multiple access methods: REST API, MCP, CLI, Python and TypeScript SDKs
- MCP integration with OAuth for use with Claude, Cursor and other MCP clients
- Pay-per-request pricing with no subscriptions or seat fees
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| What makes it different | - No login required—reads public lists the same way the TikTok website does
- Pay only for accounts returned, not skipped by filters
- Track unfollows over time with scheduled runs
- Exact follower count of the profile, not the rounded figure shown in the app
| - Returns structured, enriched product data in one unified schema across all stores without web scraping
- 100× faster and 500× cheaper than headless browser automation with LLM reading
- Live catalog that automatically handles store redesigns and maintains data consistency
- Automatically enriches raw product data with derived attributes like fit, fabric, and scent notes specific to each product category
- Returns identical results on every call with no variance from model-based reading
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 3 ● no change since last check | 4 ● no change since last check |
| Trust Flow (Majestic) | 2 | 2 |
| Citation Flow (Majestic) | 9 | 33 |
| Referring domains (Majestic) | 5 | 24 |