Retail Scrape delivers Uber Eats data scraping that retail, CPG and pricing teams rely on for Uber Eats grocery data at scale across Uber Eats, Ralphs, Fred Meyer, King Soopers, Smith's, Harris Teeter and QFC — product, price, promotion, inventory, store-level availability, rating and review data unified into one Uber Eats product API.
TRUSTED BY 150+ RETAIL, CPG & GROCERY BRAND TEAMS WORLDWIDE
Getting started
Uber Eats data scraping is the automated collection of publicly listed information from Uber Eats and its store banners — product listings, pricing, weekly promotions, inventory, store and ZIP-code-level availability, brand and category data, ratings and reviews — turned into structured, retail-ready datasets. This approach replaces manual, store-by-store checking with one repeatable pipeline covering every banner, category and location your products or your competitors list on, from full-catalog Uber Eats grocery catalog scraping to weekly-ad promotion tracking.
Rather than building and maintaining an in-house scraper for Uber Eats and each of its banners, teams use Retail Scrape's unified Grocery Scraper for Uber Eats product data scraping — proxies, CAPTCHA handling, and layout monitoring for Uber Eats store data scraping are handled for you, so your team works with clean output, not the collection process.
Data coverage
Retail Scrape's Uber Eats data pipelines cover every data point retail, CPG and pricing teams typically track across Uber Eats and its banners, from a single SKU to a full category across states.
Product listings, brand, category, pack size and specifications via Uber Eats Grocery Product Listings Data and catalog detail extraction across every banner.
Uber Eats price data scraping and Uber Eats promotions and discounts data scraping, tracked through weekly-ad and digital coupon monitoring across stores and ZIP codes.
Uber Eats Availability Data and store or ZIP-code-level stock status, covering pickup slot, delivery window and minimum order per listing.
Star ratings, review counts and sentiment trends per product and store, tracked over time for quality and reputation monitoring.
Bestseller SKUs and private label vs. national brand rank movement, so you know which products are gaining share store by store.
Uber Eats store-level grocery data scraping and inventory tracking, including in-stock/out-of-stock status refreshed continuously.
Catalog
Full catalog data extraction across an entire brand, category or banner, not just one-off SKU lookups — from Uber Eats SKU data scraping to Fred Meyer's multi-department catalog. Useful for teams that need a multi-banner Uber Eats dataset at scale: item names, descriptions, images and pack-size data to power catalog audits, private-label vs. national-brand comparisons, or cross-retailer benchmarking.
Pricing
Uber Eats price monitoring combined with cross-retailer price tracking across stores and ZIP codes — track your own listings alongside Uber Eats competitor analysis against Walmart, Target, Albertsons and Publix in one feed. Businesses run Uber Eats sale price monitoring alongside national-brand and private-label comparisons to build one unified pricing intelligence feed. Feeds directly into our Pricing Intelligence and Dynamic Pricing Solutions.
Reputation
Uber Eats product reviews and ratings scraping extracts star ratings, review counts and review text structured for sentiment analysis, quality monitoring, or competitive comparison across a category and banner.
Store network
Our Uber Eats store data scraping gives you store-level data across every Uber Eats banner — what's stocked, at what price, and how Uber Eats grocery product availability data compares against other retailers. Core data for our MAP Monitoring and Buy Box & Seller Monitoring solutions.
Visibility
Search ranking and category data scraping together — track keyword position and bestseller-product rank movement across Uber Eats banners to understand what's gaining or losing visibility, backed by re-crawls that never miss a change.
Grocery market intelligence
Our Uber Eats grocery price tracking service turns activity across every banner you monitor into signals your team can act on — the same data that powers our Quick Commerce Data Intelligence platform. Patterns our pipelines surface most often across Uber Eats banners:
Pricing
A SKU price at Uber Eats and its nearest competitor can diverge by 5%+ within a day during a weekly-ad push. Teams checking pricing by hand are routinely missing the window to react to Uber Eats Grocery Data Scraping & Price Intelligence signals.
Watch: cross-retailer price + weekly promotion togetherBrand mix
Category performance data shows Simple Truth and Private Selection penetration varies meaningfully between Uber Eats, Ralphs and Fred Meyer stores in the same region.
Watch: private label vs. national brand shareCatalog content
Product names, photos and specifications get revisited by competing brands constantly. Static listings tend to lose search position over a few months.
Watch: listing change alerts over timeAvailability
Shoppers increasingly compare in-stock status and pickup window before price. Store and ZIP-code-level stock status are worth tracking alongside every Uber Eats price point.
Watch: availability alerts + price change alertsUse cases
Feed live pricing and promotion data from every Uber Eats banner into your pricing team's workflow or repricing engine.
Compare catalogs, pricing and ranking against Walmart, Target, Albertsons, Publix and other relevant U.S. grocery retailers.
Benchmark product names, photos and specifications against top-ranking Uber Eats listings banner by banner.
Track category trends, new entrants and top-brand movement across Uber Eats banners and categories over time.
Detect unauthorized listings, outdated pricing and MAP violations the moment they appear on any Uber Eats banner.
Identify underserved categories and ZIP codes by comparing product and store-level availability across a market.
Why teams choose us
What retail, CPG and grocery brand teams gain by moving off manual tracking and DIY scripts for Uber Eats and its banners.
See price, availability and promotion changes within minutes instead of finding out days later.
Layout changes, proxies and CAPTCHAs are handled for you, across every Uber Eats banner, not just one.
Every record ships in the same structured schema, ready for BI tools and models.
Track your catalog and competitors' side by side across every Uber Eats banner, not in separate systems.
Fixed plan pricing instead of variable infrastructure and engineering time.
From a handful of SKUs at one store to a full multi-banner Uber Eats catalog, without re-architecting your pipeline.
Sample output
Every record ships clean and consistently typed — no HTML fragments, no guesswork, across every banner in one schema.
| # | Product ID | Product Name | Banner | Location | Category | Price | Regular Price | Rating | Reviews | Availability | Last Update |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 01 | KR-1182934 | Simple Truth Organic Milk, 1gal | Uber Eats | Columbus, OH | Dairy | $3.99 | $4.29 | 4.7★ | 3,210 | In Stock | 2026-08-21 09:09 AM |
| 02 | KR-2247710 | Uber Eats Organic Strawberries, 16oz | Ralphs | Los Angeles, CA | Produce | $3.49 | $3.99 | 4.5★ | 1,140 | Low Stock | 2026-08-21 09:12 AM |
| 03 | KR-3315528 | Private Selection Ribeye Steak, 1lb | Uber Eats | Cincinnati, OH | Meat & Seafood | $12.99 | $15.49 | 4.6★ | 860 | In Stock | 2026-08-21 09:15 AM |
| 04 | KR-4402271 | Simple Truth Sourdough Bread | Fred Meyer | Portland, OR | Bakery | $4.29 | $4.79 | 4.6★ | 1,920 | In Stock | 2026-08-21 09:18 AM |
| 05 | KR-5519643 | Uber Eats Deluxe Ice Cream, 48oz | King Soopers | Denver, CO | Frozen | $4.99 | $6.49 | 4.4★ | 2,050 | In Stock | 2026-08-21 09:21 AM |
| 06 | KR-6608817 | Simple Truth Organic Eggs, Dozen | Harris Teeter | Charlotte, NC | Dairy & Eggs | $4.79 | $5.29 | 4.7★ | 1,470 | Out of Stock | 2026-08-21 09:24 AM |
Sample data shown — our Uber Eats Grocery Scraping API returns full records with all scraped fields, banner by banner.
Access Full Uber Eats DatasetFAQ
Uber Eats data scraping is the automated collection of publicly listed product, pricing, promotion, availability, brand, category, rating and review information from Uber Eats and its store banners, turned into structured data for analysis or downstream systems.
Commonly extracted data includes Uber Eats product listings and SKU details, sale price monitoring, weekly promotions and discounts, store and ZIP-code-level availability, stock status, ratings and reviews, and brand or category-level catalog data.
We track listings across Uber Eats, Ralphs, Fred Meyer, King Soopers, Smith's, Harris Teeter, QFC and other Uber Eats-owned banners, from a single unified pipeline scoped to any state, city, ZIP code, category or brand.
We collect only information that is publicly visible on Uber Eats's storefront, apply rate-limiting, and give clients configurable controls so extraction fits their own compliance requirements.
Data is delivered as JSON or CSV over a REST API, scheduled feed, or direct warehouse delivery, with refresh intervals configurable from near real-time to daily snapshots.
Effortlessly managing intricacies with customized strategies.
Mitigating risks, navigating regulations, and cultivating trust.
Leveraging expertise from our internationally acclaimed team of developers
Reliable guidance and assistance for your business's advancement
