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Large catalog monitoring

Large catalog price monitoring at scale.

Import thousands of SKUs once, let AI match comparable competitor offers automatically, and keep every scraped-at timestamp, price gap, and exception visible across the whole catalog.

No manual competitor URL lists, even at thousands of rows.

Built to monitor thousands of rows without manual lists

Large catalogs break manual workflows: nobody can hand-build competitor URL lists for thousands of SKUs. Comptrace imports your catalog from Google Merchant Center, a CSV or feed, or a guided setup, then uses AI to discover and match comparable competitor offers from Google for each product. Identifiers like GTIN, MPN, brand, and title sharpen matching, so coverage grows with your catalog instead of your team's workload.

  • Import once via Google Merchant Center, CSV, feed, or guided setup.
  • AI matches every row to comparable competitor offers automatically, no manual URL lists.
  • GTIN, MPN, brand, title, and category drive accurate matching at volume.
  • Each result carries merchant, price, currency, shipping context, source URL, and a scraped-at timestamp.
  • Price rank, average gap, and trend turn raw rows into evidence you can act on.

Exceptions surface the rows that need attention first

At catalog scale, coverage is never uniform: some products match instantly, while new or hard items can take up to about 15 minutes and depend on category, country, and catalog quality. Comptrace shows gaps as exceptions with explicit status states and timestamps rather than hiding them, so operators fix invalid imports, refresh stale checks, and review weak matches before pricing decisions are made.

  • Invalid or incomplete import rows flagged before they reach pricing decisions.
  • Stale checks surfaced by scraped-at age so you act on fresh prices only.
  • Weak or low-confidence matches queued for review instead of trusted blindly.
  • Pending products stored and followed up when matching takes longer.
  • Per-row status states and timestamps keep coverage gaps honest and auditable.

Keep reading

Related guides and setup paths

Move between practical guides for matching, scraping, freshness, and pricing decisions.

CSV Import

Import a CSV product feed to monitor competitor prices. Map URLs, titles, prices, GTIN, MPN, and brand, validate rows, then track gaps privately.

Integrations

Start competitor price monitoring from Google Merchant Center, a CSV product feed, or a guided import. Comptrace matches catalogs to rivals automatically.

Price intelligence

Price intelligence for ecommerce that connects your catalog to AI-matched competitor offers, then ranks gaps, trends, and scraped-at evidence you can act on.

Pricing

Competitor price monitoring pricing that scales by products monitored, scrape freshness, and setup support. Start with one product, then expand once matching is proven.

Agency monitoring

Run competitor price monitoring across every client store from one workspace. AI matching finds rivals automatically, with no manual URL lists to maintain.

Prices stay private

Your workspace is logically isolated. No catalog field, imported price, or scraped result ever feeds into another account.

Matching is explainable

AI uses product text, identifiers, imagery, retailer pages, and Google-discovered data to decide whether offers are comparable.

Metrics are action-oriented

Price rank, average gap, trend direction, and scraped-at timestamps tell teams what changed and whether the data is fresh.

See how your prices compare

Run a free competitor price check in minutes, then create a workspace to track it continuously.

Check competitor prices