Grocery Data Scraping Services

Yes, wherever it is publicly displayed — and this is now the most important field in grocery data. Shelf price and loyalty price are separate fields, with a computed effective price representing what a member actually pays. Digital coupons are handled the same way in markets where those are the mechanism.

Where a retailer shows member pricing only after login, we do not access it. The field arrives null with a reason code, and we never substitute shelf price — that single silent substitution can flip a competitive index from above-market to below-market.

It depends entirely on the retailer, and we confirm which applies per retailer during scoping. Some expose genuine per-store pricing, some price by fulfilment area or postcode district, and some publish a single national online price.

We collect at the finest granularity a retailer actually exposes and record which level it was, rather than implying store-level precision the source never provided. In-store-only prices that never appear online cannot be collected from the web at all, and any vendor claiming otherwise is inferring.

98.4% parse rate, and we publish it because the residual matters. Failures cluster in fresh, bakery and counter categories where pack sizes are approximate or variable-weight.

We parse pack size and count separately, compute unit price on a consistent basis per category, and retain the retailer's own displayed unit price as a separate field so discrepancies are visible. Multipacks are handled as count times size — a common source of six-fold errors when parsers read only the size.

Yes, with tiering. Own-label SKUs are flagged and classified into value, standard and premium tiers, then indexed against comparable branded items within the category.

Own-label identification is not always obvious — many retailer brands do not carry the retailer's name, and some are exclusive brands from third parties. We maintain retailer-specific own-label brand mappings rather than relying on name matching, and new own-label launches are detected as events.

Yes. Pack size and count are parsed as structured fields on every run, so a size reduction at a held price is detected as an event with a date, and the unit-price impact is quantified automatically.

This has become a common request from both commercial teams and public bodies. The constraint is history: detection requires having observed the product before the change, so it works from your collection start date forward. Where we already hold archive coverage for a retailer and category, we can look back.

GTIN where published and verified, then brand, pack size and attribute matching with title similarity, with pack size treated as a hard constraint. Every match carries a confidence score and you set the threshold.

Grocery has a specific trap: retailer-exclusive pack sizes. A brand may supply 400g to one retailer and 415g to another, deliberately, so direct comparison is not possible. We flag near-matches on differing pack sizes rather than forcing them together, and unit price is the correct comparison basis in those cases.

We collect publicly accessible catalogue and pricing pages, including publicly displayed loyalty prices, without creating accounts or using credentials. Public price display is generally treated as accessible information, though retailer terms often restrict automated access, and we state that rather than glossing over it.

Each engagement includes a written methodology document per retailer and a DPA before signature, so your counsel can assess your specific use case. Notably, grocery price monitoring is also conducted by statistical agencies and competition authorities in several countries, which is context worth having in that conversation.

Base prices move slowly — weeks to months. Promotions move on weekly cycles in most markets, and loyalty offers frequently rotate weekly with fixed start dates. Availability changes daily.

Daily collection is right for most engagements, timed to land before your pricing or trading meeting. Sub-daily adds value mainly during major promotional events and in categories with volatile fresh pricing. Full-catalogue hourly collection is rarely worth its cost, since most SKUs are unchanged hour to hour.

We quote individually. The drivers are retailer count, category or SKU scope, granularity — national versus store or area level — and refresh frequency. Store-level collection multiplies volume substantially, so it is worth deciding deliberately whether you need it.

A defined category across a handful of retailers at national online granularity, daily, sits at the lighter end. Multi-market coverage across full catalogues at store level sits considerably higher. One scoping call, a free pilot on your own category and retailers within 48 hours, then a fixed monthly quote with retailers and categories added inside the retainer. Request a quote.