Validated competitor price data from the sites you pick, on the schedule your market needs. We run the collection; you run the pricing.
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Every Monday morning, someone on your team opens the same thirty competitor pages and copies prices into a spreadsheet, hoping they didn't miss a promo tab or a members-only discount. By Wednesday the sheet is stale. And the week a competitor redesigns their site, the routine gets worse than late: it quietly starts producing wrong numbers.
Competitor price monitoring should be a feed, not a chore. Datka runs that feed for you: you point us at the sites, we deliver validated price data on a schedule, and we keep it flowing when the sites fight back.
You choose the exact competitors and URLs that matter, the fields you want alongside price (list price, promo flags, stock status, currency), and the refresh rhythm your market demands: monthly for slow categories, weekly for most, daily where prices genuinely move that fast. The scope is yours to adjust as your market shifts. The schema stays fixed, so week 40 is comparable with week 1.
| product | competitor | price | list_price | in_stock | collected_at |
|---|---|---|---|---|---|
| Trail running shoe, EU 42 | Outdoor retailer A (DE) | 129.90 | 159.90 | true | 2026-07-06 05:12 UTC |
| Trail running shoe, EU 42 | Outdoor retailer B (FR) | 144.00 | 159.90 | false | 2026-07-06 05:14 UTC |
Illustrative rows. Your actual fields are scoped to your products and sources.
Each row tells you what the product cost, where, whether it was actually buyable, and exactly when we saw it. That last field matters more than it looks: a price without a timestamp is a rumor.
Every delivery passes QA before you see it: coverage against the expected product set, plausibility checks on the values, freshness you can verify. If a run doesn't pass, we fix it on our side; you never inherit the debugging. That's the working definition of business-ready data, and we've written up what we mean by it in detail.
Redesigns, layout experiments, new anti-bot defenses: keeping collection alive is a permanent job, and it's ours. The data lands where your team already works, whether that's your BigQuery project, flat CSV or JSON files, or an API you pull from, ready to feed a dashboard, a repricing model, or alert rules you build yourself. The full picture of how collection, QA, and delivery fit together is at datka.io/product. And if you're a brand watching your own resellers rather than your competitors, MAP and MSRP monitoring is the better-fitting version of this.
Start with a free assessment: name your competitor sites and we'll tell you what's feasible for each, then send a real data sample so you can judge the quality before you spend anything. Tell us about your market at datka.io/contact.
Have more questions?
See all FAQsYou'll get a feasibility read on your target sites plus a real data sample, free.