Executive Summary
A New York-based founder was building an AI meal-planning app that lets users pick the grocery store they shop at, then plans meals and builds a shopping list around real, current prices. The app needed daily grocery price scraping across major US chains at store or ZIP granularity. We provided a daily price scraping API spanning Walmart, Target, Kroger, plus Instacart and Amazon Fresh where available, giving the AI a live cost layer to personalize meal plans by store and budget.
The Business Challenge
The product's differentiator was cost-aware meal planning: recommendations had to reflect what items actually cost at the user's chosen store today, not a national average. That required daily refresh, store/ZIP-level pricing, and broad SKU coverage for common grocery items. Building this web-scraping stack in-house would have pulled a small team away from the AI and UX work that was their real edge.
The Developer Asset
We delivered a daily grocery price scraping API with a normalized schema across chains: item, brand, size, price, promo price, store/ZIP, and capture date. Because the data was consistent across retailers, the app's recommendation engine could compare and substitute items intelligently and estimate a full meal-plan cost per store.
The Solution
We scoped a daily-refresh scraping feed for the priority chains and structured delivery as JSON over API for direct integration into the recommendation pipeline. Store- and ZIP-level pricing was enabled wherever the retailer exposed localized prices. The feed was monitored for freshness and structure changes so the daily series stayed consistent — essential when the AI re-plans on a schedule.
The Results & Business Value
- Daily, store-aware grocery price scraping powering cost-personalized meal plans.
- Normalized cross-chain schema enabling smart item substitution and basket-cost estimates.
- Founder stayed focused on AI and UX instead of scraper maintenance.
- A scalable feed that grows as the app adds chains and regions.
Frequently asked questions
Daily scraping refresh for priority chains, with capture timestamps on every record.
Yes, at store or ZIP level wherever the retailer exposes localized pricing.
Walmart, Target, Kroger, plus Instacart and Amazon Fresh where available; more chains can be added.
JSON via API, built for direct integration into a recommendation engine.