Top 10 Grocery Store APIs to Use in 2025

Actowiz Grocery Basket Pricing Dashboard enables users to monitor average pricing trends across a curated grocery basket over a rolling 12-month period. With a focus on month-over-month price changes, the dashboard provides actionable insights into grocery inflation, market movement, and pricing dynamics.

Ideal for pricing analysts, category managers, and retailers, this solution supports data-driven decisions in an evolving consumer landscape.

Key Features:

• 12-Month Rolling Price Tracking
  Analyze grocery basket price changes across a one-year timeframe to identify inflation trends and seasonal shifts.

• Month-over-Month Comparison
  View average price fluctuations relative to the previous month to detect spikes, drops, or stabilizations.

• Market Trend Insights
  Uncover long-term pricing patterns and competitive shifts in the grocery sector.

• Visual Dashboard Interface
  Intuitive display of price trends for easy interpretation and reporting.

• Decision Support for Pricing Strategy
  Back strategic decisions with reliable, historical pricing data and real-time updates.

Zyte Grocery Scraper API is an advanced AI-powered web scraping solution designed to extract structured grocery and e-commerce data at scale. With integrated anti-ban capabilities, headless browser tech, and machine learning-powered parsing, Zyte offers one of the most powerful and cost-effective grocery scraping APIs available today.

Trusted by developers, data buyers, and enterprise users alike, Zyte simplifies access to high-quality product data from leading grocery websites and online marketplaces—without the need for manual rule creation or complex selectors.

Key Features:

• Anti-Ban Technology
  Built-in protection against IP blocks and captchas ensures uninterrupted scraping at scale.

• Geotargeting Capabilities
  Access and extract data from specific countries or regions with location-targeted scraping.

• JavaScript Rendering & Action Execution
  Supports dynamic sites using JavaScript, along with pre-built scraping actions for faster setup.

• ML-Powered Product Scraper
  Automatically parses product pages into structured data—no manual rules or CSS selectors required.

Consumer Edge Vision Retention Data delivers psychographic-rich transaction insights from 100M+ credit and debit cards across the U.S., covering 12,000+ merchants in retail, grocery, food delivery, and e-commerce. With 9 years of historical data, this dataset is a top-tier solution for understanding customer retention, spend behavior, and competitive performance across consumer-facing industries.

This dataset empowers corporate strategists, marketers, and investors with high-frequency, privacy-compliant insights, allowing them to drill down into consumer segments by industry, brand, geography, and demographics.

Key Features:

• 100M+ Credit & Debit Cards
  Capture spend, transaction volume, ticket size, churn, cross-shop behavior, and retention patterns.

• 12K+ Merchants, 600+ Public Tickers
  Monitor consumer activity across public and private brands, from national chains to niche players.

• Psychographic & Demographic Attributes
  Includes data fields such as age, income, household composition, political affiliation, homeowner status, and more.

• High-Frequency Data (Daily Available)
  Updated near real-time (daily), with clean, structured delivery in .csv and .xls formats.

• 9 Years of Historical Coverage
  Analyze long-term trends in consumer retention, loyalty, and market share with confidence.

dataplor Global Convenience, Restaurant, Retail, & Grocery Store Data is one of the most comprehensive location datasets available, covering 70+ million Points of Interest (POI) across 249 countries and territories. With 20 years of historical data and real-time update capabilities, this dataset empowers companies with deep, accurate, and up-to-date global retail intelligence.

From convenience stores to supermarkets and grocery chains, dataplor’s dataset provides granular business and geographic insights to support strategic decision-making in retail, logistics, and consumer engagement.

Key Features:

• 70M+ Global POIs
  Covers convenience stores, grocery chains, supermarkets, restaurants, and more across nearly every country.

• Accurate Store Metadata
  Includes store names, business types (e.g., bodega, supermarket), operational status, establishment year, and unique store IDs.

• Full Location Attributes
  Capture street, city, state, postal code, country, and neighborhood — ideal for market and mapping analysis.

• Latitude & Longitude
  Precise geospatial coordinates for location-based modeling, routing, or visualizations.

• Real-Time Updates & High Reliability
  Data includes confidence scores and is continually refreshed for accuracy and completeness.

• 20-Year History
  Access historical establishment and activity trends for longitudinal analysis and forecasting.

MealMe Grocery Delivery Data API is a powerful solution that delivers SKU-level product and pricing data from grocery and retail stores. With its wide coverage of over 100,000 store locations and 200 million SKUs across the top 100 retailers in North America, this API stands out as one of the most comprehensive options for businesses seeking grocery and retail intelligence.

The API provides real-time access to pricing data from major grocery and retail chains including Walmart, Target, Costco, Kroger, Safeway, Whole Foods, Aldi, and many more. Users can leverage this data to track competitor prices, analyze geographic pricing trends, and optimize their own pricing strategies. With historical data available for up to one year and customizable delivery formats (.bin, .json, .xml, .csv, .xls, .sql, .txt), businesses can gain meaningful insights tailored to their unique needs.

Key features:

• SKU-Level Granularity: Detailed product attributes including brand, description, and variations.
• Real-Time Pricing: Monitor live pricing data across major retailers for dynamic market analysis.
• Regional Insights: Understand price variation and inventory availability by location.
• Flexible Delivery Options: Access data via REST, SOAP, Feed, or Streaming APIs, or receive updates via S3, SFTP, or Email.
• Customizable Frequency: Data delivery ranges from real-time to yearly, supporting both large-scale analysis and timely decision-making.

Measurable AI FoodPanda Food & Grocery Transaction Data is a robust dataset offering granular and aggregated consumer insights based on millions of email receipt transactions from FoodPanda across key Asian markets. Sourced through GDPR-compliant proprietary consumer apps, the data provides an unparalleled look into the food and grocery delivery ecosystem.

This dataset includes detailed e-receipt data from users who have opted in, enabling businesses to access anonymized and accurate information on food delivery behaviors. With 6 years of historical data and coverage across 7 countries, it’s one of the most comprehensive datasets available for analyzing the food delivery market in Asia.

Key Features:

• Granular Data: Access high-definition, itemized order-level data, including:
• Order value
• Number of items ordered
• Delivery & service fees
• Promotions used
• Number of orders per user
• Geolocation and more
• Aggregate Data: Weekly and monthly order volumes, revenue metrics, and long-term trend data dating back to 2018.
• Geographic Coverage: Hong Kong, Taiwan, Singapore, Thailand, Malaysia, Philippines, and Pakistan.

Locationscloud Grocery Store Location Data offers a complete dataset of grocery store locations across the United States. Whether you’re conducting market analysis, planning store expansions, or building geo-targeted solutions, this location data is a reliable resource for accessing verified and up-to-date store information.

This dataset provides a comprehensive list of grocery chains operating in the U.S., including state-wide coverage and location-level attributes. With support for multiple data formats and flexible delivery options, it serves businesses of all sizes looking for actionable location intelligence.

Key Features:

• Complete Coverage: Includes major U.S. grocery chains such as Walmart, Trader Joe’s, Whole Foods Market, Safeway, Albertsons, Sprouts, Save A Lot, and more.

• Location Attributes: Store names, addresses, states, and other relevant data points to support store performance and planning use cases.

• Forecasting Ready: Ideal for market entry analysis, site selection, and forecasting new store openings.

• Data Volume: 100 records available (expandable upon request)

Envestnet - Yodlee’s De-Identified Food & Grocery Transaction Data provides unmatched access to U.S. consumer transaction insights across 3,000+ merchants, covering over 90 million accounts. With 9 years of historical data and near real-time updates (T+1), this dataset delivers both granular and aggregated views of consumer spending—making it one of the most powerful tools for retail, financial, and investment analysis.

This dataset includes anonymized credit, debit, and ACH transactions from a diverse U.S. user panel, sourced directly via Yodlee’s financial aggregation platform. With 99% high-precision tagging and support for 600+ tickers, the data is ready for use across a wide range of business and investment intelligence use cases.

Key Features:

• Row & Aggregate Level Data: Access de-identified credit, debit, ACH transactions at both itemized and summarized levels.

• Real-Time Insights: Daily (T+1) updates ensure accurate trend tracking and fast decision-making.

• Massive Scale: Covers 48M+ accounts, 23M+ users, 3,000+ merchants, and 600+ publicly traded tickers.

• Historical Depth: 9 years of consumer transaction data for deep longitudinal analysis.

• Data Precision: 99% tagging accuracy (self-reported) ensures high-quality KPIs and merchant-level insights.

Alqami Online Food Purchase Data offers a unique global dataset that links recipe interaction behavior with online food purchasing data, enabling brands, retailers, and researchers to understand the full journey from food inspiration to transaction. With 500 million recipe interactions tracked monthly and 5 years of historical data, this dataset delivers powerful insights into consumer preferences, purchase intent, and product-level transaction behavior.

Key Features:

• 500M+ Monthly Recipe Interactions
  Track engagement with recipes, ingredients, and cooking content tied to consumer interests and food habits.

• Transaction-Level Purchasing Data
  Understand actual purchases post-interaction, including product SKU, brand, and pricing.

• Rich Contextual Metadata
  Recipe actions are tagged with nutrition, ingredient details, dietary preferences, and more.

• Daily Updates
  Fresh data feeds enable near real-time analysis of food and grocery consumption trends.

• 5 Years of History
  Longitudinal insights into evolving consumer tastes and grocery e-commerce behaviors.

• Cross-Platform Visibility
  Covers consumer behavior across recipe providers, online food retailers, and food manufacturers.

Data AI Solutions Grocery Delivery Data API provides real-time access to comprehensive grocery store data from top delivery platforms such as Walmart.com, Wholefoodsmarket.com, and Albertsons.com. Designed for businesses in the grocery and e-commerce sectors, this API empowers users to monitor competitor pricing, track product attributes, and uncover valuable pricing trends for smarter decision-making.

With support for multiple data formats and coverage of key players in the grocery delivery space, the API is a powerful tool for pricing strategy, competitive intelligence, and product benchmarking.

Key Features:

• Top Grocery Delivery App Coverage
  Extract product and pricing data from leading platforms including Walmart, Whole Foods, Albertsons, and more.

• Product Attribute Insights
  Access detailed product-level data, including name, price, size, brand, and more for accurate market comparison.

• Competitor Price Tracking
  Compare prices across multiple retailers and delivery platforms to fine-tune pricing strategies and stay competitive.

• Historical Price Trends
  Up to 7 days of historical data available to analyze short-term market trends and pricing movements.