Match the product before you scrape the price
Most competitor price scraping fails at the matching step: it pulls prices from pages that look similar but are not the same offer. Comptrace works the other way around. It starts from your product, then uses identifiers, brand, title, images, and category context to find comparable offers across Google Shopping and retailer pages, so the price you scrape belongs to a product worth comparing.
- GTIN, MPN, brand, and canonical product URLs confirm exact-match offers.
- AI matching separates real substitutes from look-alike products.
- Competitor discovery runs through Google, so you skip maintaining manual URL lists.
- Weak matches stay flagged as exceptions before they reach a pricing decision.
Capture every scraped price with its evidence
A bare number is impossible to defend. Each competitor row Comptrace scrapes keeps the merchant name, product URL, visible price, currency, shipping context, and a scraped-at timestamp, so operators can tell fresh data from a stale crawl and verify any surprising change at the source.
- Scraped-at timestamps separate current evidence from outdated crawls.
- Source URLs let teams inspect a price move on the live competitor page.
- Currency and shipping context stop misleading cross-merchant comparisons.
- Coverage gaps appear as status states, not silent blanks.
Your prices and matches stay private
Scraping public competitor pages should never expose your own data. Your imported prices, catalog fields, and matched competitor rows stay scoped to your workspace and are never reused for another customer. Catalog access is read-focused and changes nothing in your store.
Turn scraped rows into pricing signals
The value is not a pile of scraped numbers; it is the evidence you can act on. Comptrace normalizes each row, then turns repeated scraping into decision signals: price rank shows where your offer sits, average gap measures distance to comparable competitors, and trend shows whether the whole market moved or just one merchant blinked.
- Price rank shows whether your offer is cheapest, mid-market, or most expensive.
- Average gap surfaces the products with the widest spread to prioritize first.
- Trend turns repeated checks into a signal your pricing team can review and act on.