| What it does | Structured extraction API for YouTube videos that returns typed, validated JSON rows from video captions
| One API for all stores. Ecommerce data for AI agents.
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | TR
| US
|
|---|
| Pricing model | Freemium
| Paid
|
|---|
| Pricing | Free: 3,000 credits (no card required); Starter: $12/month (50,000 credits); Studio: $49/month (250,000 credits); Scale: $139/month (1,000,000 credits); Pay as you go: $0.0008 per credit
| 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.
|
|---|
| Key features | - Extract custom fields from video captions with schema definition
- Batch processing up to 200 videos per request
- Named entity recognition for people, companies, products, places
- Typed and validated JSON rows matching your schema
- Automatic deletion of results after first retrieval
- Support for manual and auto-generated captions
- No charge for videos without captions
- Specialized extraction model on dedicated GPU
| - 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
|
|---|
| What makes it different | - Specialized pipeline purpose-built for video extraction, not a wrapper around a chat model
- Simple two-call API with no complex integration required
| - 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
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 4 ● no change since last check |
|---|
| Trust Flow (Majestic) | 0 | 2 |
|---|
| Citation Flow (Majestic) | 20 | 33 |
|---|
| Referring domains (Majestic) | 17 | 24 |
|---|
TubeExtract
StoreRouter