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Grocery Retail Dataset

Kroger Dataset

Live and Historical Data Across One of America’s Largest Traditional Grocery Chains

Kroger runs on a pricing model that looks straightforward on the shelf tag and gets complicated the moment you factor in the loyalty layer underneath it. A Kroger Plus Card scan can unlock a different price than the one printed, weekly-ad specials rotate constantly across nearly 2,800 stores, and digital coupons loaded through the app change what a shopper actually pays without changing anything visible on the shelf. Add fuel points tied to grocery spend and a growing pickup-and-delivery business layered on top of the physical stores, and tracking Kroger’s real pricing means tracking several things at once, not just one number per SKU.

That’s exactly what our dedicated Kroger Data Scraping pipeline is built to handle — a Kroger Retail Product Dataset that captures shelf price, Kroger Plus Card pricing, weekly-ad promotions, and pickup/delivery availability side by side, refreshed on a schedule you control. It runs on the same infrastructure behind our Grocery Data Scraping Services and sits inside our broader Grocery Dataset catalog, with custom builds available through our Web Scraping Services team.

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Quick Stats

Price From

$199

Starting Price

Records

3.1M+

Total Records

Format

CSV / JSON

Delivery Format

Delivery

Immediate

Availability

PLATFORMS WE COVER
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17+

Categories Covered

3+ Yrs

Historical Depth

35 States

Market Coverage

Daily

Refresh Cycle

Our Competitive Advantage

Why Teams Choose Our Kroger Dataset Over a DIY Crawl

A shelf-price scrape alone tells you almost nothing about what Kroger shoppers actually pay, since Kroger Plus Card pricing and digital coupons routinely undercut the printed price. A scraper that only reads the sticker price is missing most of the picture.

One Schema, Every Price Layer

One Schema, Every Price Layer

Product name, UPC, brand, shelf price, Plus Card price, ratings, and pickup/delivery status all arrive in a single Kroger product dataset — no reconciling three separate exports.

Weekly-Ad Awareness

Weekly-Ad Awareness

Our Kroger product listings dataset tracks which SKUs are featured in the current weekly ad and for how long, so promotional cadence is visible, not guessed at.

Scoped to What You Actually Need

Scoped to What You Actually Need

Pull specific categories, regions, or the full catalog. Refresh daily, weekly, or near-live. Delivered as CSV, JSON, Excel, or a direct API feed.

Formats Your Tools Already Read

Formats Your Tools Already Read

CSV and Excel exports work straight in Power BI or Tableau. JSON and API feeds ship with a documented schema for Snowflake, BigQuery, or Redshift.

Live Pricing, Plus Real History

Live Pricing, Plus Real History

See today’s price alongside 3+ years of historical price and promotion data — long enough to separate a genuine markdown from a routine weekly-ad rotation.

Pickup and Delivery Aware

Pickup and Delivery Aware

Coverage tracks in-store, pickup, and delivery availability separately, since Kroger’s online grocery business increasingly runs alongside its physical stores rather than instead of them.

Dataset Overview

What’s Actually Inside the Kroger Dataset

The Kroger dataset is organized around four practical questions: what’s listed, what it actually costs once loyalty and coupon pricing are factored in, what customers think of it, and whether it’s available for pickup, delivery, or in-store only. Those four questions map to the four sub-datasets described below, all keyed together so nothing needs manual reconciling.

Most clients start with pricing, usually chasing something specific — is a competitor’s private-label item priced more aggressively than Kroger’s own Simple Truth or Private Selection equivalent this week, or is a shelf price genuinely a deal once the Plus Card discount is applied? Brand teams lean on the review layer to catch quality complaints before they show up in broader sales data. Data teams mostly just want clean, timestamped records instead of raw page data, which is really the core value of buying a dataset instead of building a scraper from scratch. This dataset follows the same collection standards as our broader Grocery Dataset catalog.

What people actually build with this dataset:

  • Pricing-policy checks: Compare live Kroger pricing against MAP or your policy floor across categories.
  • Private-label vs. national-brand tracking: Watch how Simple Truth and Private Selection price against comparable branded SKUs in the same aisle.
  • Weekly-ad and promo-cycle analysis: Build a historical record of Kroger’s promotional cadence to time your own campaigns around it.
  • Repricing automation: Feed same-day price signals from the Kroger price dataset into your own repricing engine.
  • Quality research: Mine the Kroger Customer Reviews Dataset for recurring complaints about freshness, packaging, or product quality.

Key Metrics

Price

$199.00

Format

CSV / JSON / API

Records

3.1M+ Verified Records

Coverage

United States

Update Frequency

Daily

Availability

Instant Access

Delivery Time

Immediately

Preview actual dataset structure before purchase.

Data Preview

A Sample of the Kroger Dataset

Below is a small, illustrative slice of a single extract. Each row is one SKU captured at a point in time — the full dataset carries 55+ additional fields, including UPC codes, pickup/delivery flags, and full price-history timestamps.

Product IDProduct ImageProduct NameBrandPriceWeight / Pack SizeOfferIsDiscountedDescriptionProduct URL
0000000004011https://www.kroger.com/product/images/medium/front/0000000004011Fresh Bunch of Bananas – 5-7 BananasN/A$1.03N/ANoabout $1.03 each $0.49/lb Fresh Bunch of Bananas – 5-7 Bananas SNAP EBThttps://www.kroger.com/p/fresh-bunch-of-bananas-5-7-bananas/0000000004011?fulfillment=PICKUP
0001111040101https://www.kroger.com/product/images/medium/front/0001111040101Kroger® Vitamin D Whole Milk GallonKroger$3.991 galN/AYes$3.99 Discounted From Kroger® Vitamin D Whole Milk Gallon 1 gal SNAP EBThttps://www.kroger.com/p/kroger-vitamin-d-whole-milk-gallon/0001111040101?fulfillment=PICKUP
0001111041700https://www.kroger.com/product/images/medium/front/0001111041700Kroger® 2% Reduced Fat Milk GallonKroger$3.991 galN/AYes$3.99 Discounted From Kroger® 2% Reduced Fat Milk Gallon 1 gal SNAP EBThttps://www.kroger.com/p/kroger-2-reduced-fat-milk-gallon/0001111041700?fulfillment=PICKUP
0001200080996https://www.kroger.com/product/images/medium/front/0001200080996Mountain Dew® Soda CansMountain Dew$11.9912 pk / 12 fl ozBuy 3 Get 3 FreeYes$11.99 Discounted From Mountain Dew® Soda Cans 12 pk / 12 fl oz SNAP EBT Limit 12 Buy 3 Get 3 Free. Limit 12https://www.kroger.com/p/mountain-dew-soda-cans/0001200080996?fulfillment=PICKUP
0004900002890https://www.kroger.com/product/images/medium/front/0004900002890Coca-Cola® Soda CansCoca-Cola$8.9912 pk / 12 fl ozN/AYes$8.99 Discounted From $11.99 Coca-Cola® Soda Cans 12 pk / 12 fl oz SNAP EBThttps://www.kroger.com/p/coca-cola-soda-cans/0004900002890?fulfillment=PICKUP
0008304600402https://www.kroger.com/product/images/medium/front/0008304600402Ice Mountain 100% Natural Spring Bottled WaterIce Mountain$6.2916.9 Fl OzN/AYes$6.29 Discounted From Ice Mountain 100% Natural Spring Bottled Water 16.9 Fl Oz SNAP EBT Limit 5https://www.kroger.com/p/ice-mountain-100-natural-spring-bottled-water/0008304600402?fulfillment=PICKUP
0001111060933https://www.kroger.com/product/images/medium/front/0001111060933Kroger® Grade A Large White EggsKroger$1.7818 ctN/AYes$1.78 Discounted From Kroger® Grade A Large White Eggs 18 ct SNAP EBThttps://www.kroger.com/p/kroger-grade-a-large-white-eggs/0001111060933?fulfillment=PICKUP
0003338320027https://www.kroger.com/product/images/medium/front/0003338320027Fresh Strawberries – 1 LB ClamshellN/A$2.491 lbN/AYes$2.49 Discounted From Fresh Strawberries – 1 LB Clamshell 1 lb SNAP EBThttps://www.kroger.com/p/fresh-strawberries-1-lb-clamshell/0003338320027?fulfillment=PICKUP
0001111060903https://www.kroger.com/product/images/medium/front/0001111060903Kroger® Grade A Large White EggsKroger$1.1912 ctN/AYes$1.19 Discounted From Kroger® Grade A Large White Eggs 12 ct SNAP EBThttps://www.kroger.com/p/kroger-grade-a-large-white-eggs/0001111060903?fulfillment=PICKUP
0001200080994https://www.kroger.com/product/images/medium/front/0001200080994Pepsi Cola® Soda CansPepsi$11.9912 ct / 12 fl ozBuy 3 Get 3 FreeYes$11.99 Discounted From Pepsi Cola® Soda Cans 12 ct / 12 fl oz SNAP EBT Limit 12 Buy 3 Get 3 Free. Limit 12https://www.kroger.com/p/pepsi-cola-soda-cans/0001200080994?fulfillment=PICKUP
What’s Included

The Four Layers of the Kroger Dataset

Rather than one flat export, the Kroger dataset splits into four connected layers, licensed individually or together, joined on a common product key.

Kroger Product Listings Dataset

The descriptive layer behind every item Kroger sells — what it is, how it’s categorized, and how it’s presented across in-store and online channels.

  • Product name, category and sub-category placement, brand, and UPC identifiers
  • Description text, size/weight variants, and ingredient or nutritional labels where applicable
  • Primary and gallery image URLs
  • Pack-size hierarchy and multi-buy configuration

Kroger Price Dataset

Kroger’s pricing carries more layers than the shelf tag suggests — weekly-ad markdowns, Kroger Plus Card pricing, and digital-coupon-linked offers can all apply to the same SKU at once.

  • Shelf price, Kroger Plus Card price, discount percentage, and digital-coupon-linked pricing
  • Full price-change history with timestamps, so a real markdown can be told apart from a routine weekly-ad rotation
  • Weekly-ad and promotional badges tied to their specific active window
  • Delivery fee and pickup-fee data by region and fulfillment method

Kroger Retail Product Dataset (Fulfillment & Store Layer)

Because a growing share of Kroger’s business runs through pickup and delivery alongside its physical stores, knowing what’s actually available and how it reaches the customer matters as much as price.

  • Fulfillment options per SKU: in-store only, pickup, or home delivery
  • Store-level and online stock signals, including limited-quantity and out-of-stock flags
  • Private-label flag (Simple Truth, Private Selection, Kroger Brand, and others) for competitive benchmarking
  • Historical availability trends to spot seasonal restocks and discontinuations

Kroger Customer Reviews Dataset

Star ratings tell you something went wrong; reviews tell you what. This layer keeps the detail instead of collapsing everything into an average.

  • Individual reviews with star rating, title, review text, and submission date
  • Verified-purchase flag and anonymized reviewer identifier
  • Aspect-level sentiment — freshness, packaging condition, value for money, and taste or quality
  • Rating distribution over time, useful for catching a quality issue before it shows up in sales data
Category Coverage

Where the Kroger Dataset Runs Deepest

Kroger’s catalog is built around a full weekly grocery run, so our coverage reflects that same breadth rather than a narrow slice.

Dairy & Bakery

Dairy & Bakery

Simple Truth and Private Selection tracked alongside national dairy and bakery brands.

Meat & Seafood

Meat & Seafood

Per-pound pricing tracked separately from packaged-goods pricing patterns.

Produce

Produce

Freshness-linked pricing and stock-turnover tracking across organic and conventional lines.

Household & Personal Care

Household & Personal Care

Pack-size and brand-tier variant tracking suited to repeat-purchase category analysis.

Add-Ons

Add-Ons

Kroger Plus Card and fuel-points pricing differentials, weekly-ad archive access, and seasonal-event (holiday, back-to-school) tracking.

Applications By Team

How Different Teams Put This Dataset to Work

The same underlying dataset ends up solving fairly different problems depending on who’s using it.

Competitive Price Monitoring

Track how a competitor’s Kroger-carried products move on price week to week, instead of manually checking the app or weekly ad.

Dynamic Repricing

Feed live price signals from the Kroger price dataset into your own repricing logic, so your prices react within hours, not days.

Category & Market Research

Use multi-year price and promotion history to understand how a category has evolved — which brands gained shelf space, which lost it.

Seasonal Demand Forecasting

Build forecasting models on top of 3+ years of price, stock, and review-velocity data ahead of predictable spikes like holidays and back-to-school.

AI and LLM Training Data

Use the clean, labeled Kroger product listings dataset as training data for product-attribute extraction and recommendation models.

Content and Catalog Benchmarking

Compare your own listing quality — image count, description depth, nutritional labeling — against how Kroger presents comparable products.

Industries We Serve

Who Actually Uses the Kroger Dataset

The Kroger Dataset provides insights into product listings, pricing, availability, and promotions, helping businesses make data-driven decisions and stay competitive.

National & CPG Brands

National & CPG Brands

Track how their products are priced and positioned against Kroger’s own private labels in the same aisle.

Grocery Resellers & Aggregators

Grocery Resellers & Aggregators

Spot cross-retailer price gaps and identify where MAP policy isn’t being enforced.

AI & ML Companies

AI & ML Companies

Source structured US grocery data for pricing models and recommendation engines.

Market Research Firms

Market Research Firms

Build category and retail-sector reports using multi-year historical depth.

Retail Consulting Firms

Retail Consulting Firms

Validate assortment and pricing-strategy recommendations with verified, current data.

Investment & Equity Research Teams

Investment & Equity Research Teams

Use pricing aggression and promotional cadence as an alternative-data input alongside earnings data.

Why It Matters

What This Dataset Actually Saves You

It’s worth being honest about the alternative: manually checking prices on kroger.com, copying numbers into a spreadsheet, and hoping the Plus Card price didn’t quietly change overnight. That approach doesn’t scale past a handful of SKUs.

01

Hours Back, Not Days

A structured feed replaces manual price-checking entirely — what used to take a team days to compile is available on a schedule you set.

02

Forecasts Grounded in Real History

3+ years of price and promotion data means you can tell the difference between genuine seasonal demand and a one-off weekly-ad spike.

03

Reacting in Hours, Not Weeks

Weekly-ad cycles and digital coupons move fast. A same-day data feed means you find out about a price change the same day it happens.

04

Built Around Your Pipeline, Not Ours

Pick the categories, fields, and cadence that matter to you — delivered as CSV, JSON, API, or Parquet.

Data Quality & Methodology

How the Kroger Data Scraping Pipeline Actually Works

Here’s the straightforward version of how this gets built, not a marketing summary of it.

Collection Approach

Collection Approach

Ethical, rate-limited collection from Kroger’s publicly visible pages — no credential bypass, no access to restricted internal APIs.

Validation Before Delivery

Validation Before Delivery

Every batch runs through automated schema checks, then a manual spot-check pass before it ships.

Deduplication

Deduplication

Repeat pulls of the same SKU are collapsed into one clean historical record instead of duplicate rows.

Refresh Scheduling

Refresh Scheduling

Daily, weekly, or intraday cycles keep pricing and stock fields current without you having to ask for a re-pull.

Stable Schema

Stable Schema

Field names and structure stay consistent release over release, so your ingestion pipeline doesn’t break on the next refresh.

Compliance

Compliance

Only publicly available retail data is collected, consistent with standard commercial data practice and platform terms.

This methodology runs on the same Grocery Data Scraping Services infrastructure behind our other grocery-retail datasets — Kroger Data Scraping is a maintained pipeline, not a one-off project.

Delivery Options

Delivered However Your Stack Expects It

Access the Kroger Dataset in flexible formats, ensuring seamless integration with your existing systems and data workflows.

CSV / Excel

Drop straight into Excel pricing models, Tableau dashboards, or Power BI reports.

JSON / API Feed

Documented schema, ready for direct ingestion into your application backend or data pipeline.

Cloud Storage / Database

Automated delivery to S3, SFTP, Snowflake, BigQuery, or Redshift on whatever cadence you set.

Pricing Plans

Pick the Plan That Matches Your Scope

Choose from flexible Kroger Product Dataset pricing plans tailored to your data needs, update frequency, and business goals.

RESEARCH & BENCHMARKING

One-Time Dataset Purchase

From $199

A one-time Kroger dataset snapshot, delivered right away — no subscription commitment.

What’s included:
  • Full point-in-time dataset snapshot
  • CSV, JSON, or Parquet delivery
  • Filter by category and field before delivery
Get Started
FULL COVERAGE

Enterprise License

Contact Sales

Full-category, nationwide coverage with unlimited access and an SLA behind it.

What’s included:
  • Unlimited API calls and delivery volume
  • Dedicated account manager, 99.5% SLA
  • Custom schema design and white-label delivery
Contact Sales
Why WebDataInsights

A Team That’s Actually Built This Before

WebDataInsights provides accurate Kroger Datasets with product, pricing, inventory, and availability data for market research, competitor analysis, and smarter business decisions.

Track Record at Scale

Millions of verified records collected and refreshed continuously across major US grocery chains — Kroger is one of several, not a one-off build.

Support That Doesn’t Disappear After Launch

Dedicated account management, SLA-backed delivery, and proactive alerts if a schema ever needs to change.

Compliance-First, By Default

Only publicly accessible retail data is collected — no credential bypass, no restricted-API workarounds.

Custom Builds When You Need Them

Need a field, category, or region we haven’t listed here? We build custom Kroger dataset configurations on request.

FAQs

Questions People Actually Ask Us About the Kroger Dataset

These come from real conversations with brands, analysts, and engineering teams evaluating this dataset.

It’s a structured export of Kroger’s grocery retail data — product listings, pricing (including Kroger Plus Card and digital-coupon pricing), pickup/delivery availability, and customer reviews — cleaned, deduplicated, and delivered as CSV, JSON, or an API feed through our Kroger Data Scraping pipeline.

CSV, Excel (XLS/XLSX), JSON, and API feeds by default. Parquet is available on request for Spark, Databricks, Snowflake, or BigQuery pipelines.

Pricing and stock fields can refresh intraday on enterprise plans, since weekly-ad and coupon-linked pricing changes fast. Listings update daily, and reviews update on a rolling basis.

Yes — you tell us the categories, fields, and refresh cadence, and we build the extract around that scope rather than delivering a generic full export.

Yes, more than three years of historical pricing, including shelf price, Plus Card price, and discount timestamps — enough to separate a real seasonal trend from a routine weekly-ad rotation.

Yes. The Kroger price and retail product datasets track pricing at the SKU level over time, so you can flag when a listing drops below your policy floor without checking manually.

Both. Since a growing share of Kroger’s business runs through pickup and delivery, the dataset tracks fulfillment-method availability separately, not just a generic in-store stock flag.

Yes. Only publicly visible pages on Kroger’s site are collected, using rate-limited, ethical methods. We don’t bypass logins or touch restricted internal APIs.

A DIY scrape usually returns messy, inconsistent data that needs weeks of cleanup before it’s usable. This dataset is already normalized, deduplicated, and schema-stable — you can plug it into analysis the same day it arrives.

Yes, private-label products are flagged distinctly in the Kroger retail product dataset, making it easier to benchmark them against comparable national brands.

Mostly CPG and national brands, grocery resellers, market research firms, AI/ML teams, retail consultants, and investment analysts tracking pricing behavior as an alternative-data signal.

Yes — automated delivery to S3, SFTP, Snowflake, BigQuery, or Redshift on whatever schedule you choose.

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Get a Real Look at Kroger’s Grocery Data

3.1M+ verified records, daily pricing refreshes, and 3+ years of historical depth across one of America’s largest grocery chains — starting at $199.

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