Products
From product pages to decisions.
Collect the pages you need, make their product data comparable, and put it to work. Extract, Enrich and Explore share one ecommerce data pipeline.
Collect. Normalize. Compare.
Start with extraction. Add enrichment for consistent product details and matching. Use Explore to ask questions and inspect the original records.
01 Extract
Collect product data. Skip the scraper upkeep.
AI writes a crawler for each website and proves it on real pages; then it runs as plain code whenever you choose. Each product page becomes a Capture: what the page said, its URL and when it was seen.
Product pagetempo.example
Homme › Chaussures › Baskets
NIKE Air Max 90 Black
134,99 €
Taille 42
En stock
Livraison offerte dès 50 €
↳ 1 Capture · /products/airmax90-black-42 · 1 Sep 09:00
02 Enrich
Different stores. Comparable products.
AI turns each Capture into an Item: clean fields in English, one price format, a standard category. Items are then matched across stores into products, variants, listings and offers, with their reviews and changes.
Itemtempo.example
- brand
- NIKE → Nike
- size
- Taille 42 → EU 42
- price
- 134,99 € → €134.99
- stock
- En stock → In stock
- category
- Sneakers
↳ Nike Air Max 90 · Black · EU 42 · 3 offers
03 Explore
Your product data. Answers you can inspect.
4 Analyses of the data you collect: price position, price movements, availability changes and assortment overlap. For anything else, ask the agent: it queries your data and shows its work. Each number links back to the pages it came from.
Price position7 Sep
−5.5%
Air Max 90 at north.example against the median of field and tempo
↳ 3 offers · 3 pages
From collection to your application
Keep the records. Build on the results.
Trace a result to the page
Go from a comparison to the product details behind it. Every Capture keeps its original URL and observation time, so your team can check the data before using it.
Work in your own tools
Inspect data in the dashboard, ask it questions in plain language, or integrate through the REST API and its Python and TypeScript SDKs. Connect your agent over MCP, or export Captures as JSONL or Parquet.
Start with your stores
Start with a store. Build from there.
Choose the country. We generate and validate the custom crawler, then return the structured Capture with its original URL and observation time.
Start for free · No credit card · Plans from $30/month