Amazon Fresh India Item, Price & Review Datasets for Real-Time Market Analysis

Amazon Fresh India powers the online grocery ecosystem for leading supermarkets, connecting thousands of retailers and millions of products across North America. With Actowiz Solutions’ Amazon Fresh India Item, Price & Review Datasets, you can access real-time and historical grocery pricing, delivery, and product availability data to track market movements, monitor competitors, and forecast consumer demand.

Our datasets provide reliable Amazon Fresh India data covering top U.S. and Canadian retailers, delivery zones, price fluctuations, delivery charges, and promotions — all cleaned, structured, and ready to use in CSV, JSON, Excel, or API formats.

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Why Choose Amazon Fresh India Datasets from Actowiz Solutions?

Discovery & Setup

Complete Product Coverage

Item names, categories, brands, store details, and SKU-level metadata.

Discovery & Setup

Dynamic Pricing Data

Base price, discount, delivery fee, taxes, and total basket value.

Discovery & Setup

Real-Time & Historical Feeds

Track hourly or daily grocery data updates.

Discovery & Setup

Geo-Specific Insights

Access location-wise delivery and price variations across U.S. states & cities.

Discovery & Setup

Flexible Formats

CSV, Excel, JSON, or Amazon Fresh India Scraping API for automation.

Discovery & Setup

Fully Customizable

Choose categories, timeframes, and retailers as per your project.

Amazon Fresh Product, Pricing & Delivery Dataset

Comprehensive Data for Grocery & Quick Commerce Intelligence

Use Amazon Fresh India Product, Pricing & Delivery Datasets to analyze grocery prices, delivery fees, promotions, and product availability across partnered retailers. Whether you’re benchmarking competitors, tracking delivery speed, or studying consumer pricing trends, this dataset provides structured, real-time Amazon Fresh India data that empowers you to make faster business decisions.

This dataset enables retailers, FMCG brands, analysts, and data scientists to extract actionable insights — from delivery speed and regional pricing differences to store-level product availability and promotional patterns — driving operational efficiency and market advantage.

Harness this data to:

  • Compare store-level pricing and promotions across major U.S. retailers.
  • Analyze delivery time and fee variations by location and demand cycles.
  • Identify high-demand grocery categories and seasonal buying patterns.
  • Build AI/ML models for demand forecasting, trend prediction, and price optimization.

Our Amazon Fresh India datasets are continuously refreshed and validated, allowing you to track competitors, scrape grocery delivery data, and optimize fulfillment operations using accurate, real-time information.

Sample Amazon Fresh Dataset Preview

product_id title brand category sub_category quantity packaging description store_id store_name region coverage_area fulfillment_type store_rating base_price discount_price delivery_fee taxes_pct promotion final_price price_updated_at order_id delivery_speed slot_time distance_miles est_arrival_mins review_id customer_name rating review_text sentiment review_date stock_level stock_status restock_eta inventory_last_updated
AF-001 Fresh Tomatoes 1kg Amazon Fresh Grocery Vegetables 1kg Poly Bag Farm fresh tomatoes AF-ST-101 Amazon Fresh Warehouse Mumbai Maharashtra Mumbai Prime Now 4.7 48 44 20 0% ?4 Off 44 05-01-2025 AF-OD-9101 1.2 28 RV-AF-001 Radhika 5 Very fresh Positive 28-12-2024 120 In Stock 05-01-2025
AF-002 Fresh Cucumber 500g Amazon Fresh Grocery Vegetables 500g Poly Pack Crunchy cucumbers AF-ST-101 Amazon Fresh Warehouse Mumbai Maharashtra Mumbai Prime Now 4.5 32 29 20 0% ?3 Off 29 05-01-2025 AF-OD-9102 40 min 1 25 RV-AF-002 Shantanu 4 Good quality Positive 22-12-2024 80 In Stock 05-01-2025
AF-003 Amul Taaza Milk 1L Amul Grocery Dairy 1L Tetra Pack Toned milk AF-ST-102 Amazon Fresh Warehouse Delhi Delhi NCR Prime Now 4.8 58 55 18 0% ?3 Off 55 05-01-2025 AF-OD-9103 0.8 20 RV-AF-003 Rehan 5 Always fresh Positive 29-12-2024 150 In Stock 05-01-2025
AF-004 Fortune Rice Bran Oil 1L Fortune Grocery Oil 1L Bottle Heart-healthy oil AF-ST-103 Amazon Fresh Warehouse Bengaluru Karnataka Bangalore Standard Delivery 4.6 150 145 25 5% ?5 Off 145 + tax 05-01-2025 AF-OD-9104 2 hrs 3.5 65 RV-AF-004 Kirti 4 Good product Positive 21-12-2024 60 In Stock 05-01-2025
AF-005 Fresh Apples Shimla 1kg Amazon Fresh Grocery Fruits 1kg Tray Pack Juicy sweet apples AF-ST-101 Amazon Fresh Warehouse Mumbai Maharashtra Mumbai Prime Now 4.7 180 170 20 5% ?10 Off 170 + tax 05-01-2025 AF-OD-9105 45 min 1.4 32 RV-AF-005 Anusha 5 Sweet & crunchy Positive 26-12-2024 40 Low Stock 06-01-2025 05-01-2025
AF-006 Aashirvaad Atta 5kg Aashirvaad Grocery Flour 5kg PP Bag Whole wheat flour AF-ST-102 Amazon Fresh Warehouse Delhi Delhi NCR Standard Delivery 4.6 265 255 30 5% ?10 Off 255 + tax 05-01-2025 AF-OD-9106 2 hrs 4.1 60 RV-AF-006 Mohan 4 Good dough quality Positive 27-12-2024 70 In Stock 05-01-2025
AF-007 Britannia Cheese Slices 200g Britannia Grocery Dairy 200g Wrapper Processed cheese AF-ST-103 Amazon Fresh Warehouse Bengaluru Karnataka Bangalore Prime Now 4.8 140 135 18 0% ?5 Off 135 05-01-2025 AF-OD-9107 1 22 RV-AF-007 Simran 5 Fresh pack Positive 31-12-2024 35 In Stock 05-01-2025
AF-008 Tata Sampann Chana Dal 1kg Tata Grocery Pulses 1kg Pack Unpolished chana dal AF-ST-102 Amazon Fresh Warehouse Delhi Delhi NCR Standard Delivery 4.5 120 112 25 0% ?8 Off 112 05-01-2025 AF-OD-9108 2 hrs 3.4 65 RV-AF-008 Saniya 4 Clean dal Positive 23-12-2024 90 In Stock 05-01-2025
AF-009 Grocery Breakfast 375g Box Pack Chocolate-flavored cereal AF-ST-101 Amazon Fresh Warehouse Mumbai Maharashtra Mumbai Prime Now 4.8 190 180 18 5% ?10 Off 180 + tax 05-01-2025 AF-OD-9109 45 min 1.2 30 RV-AF-009 Isha 5 Kids loved it Positive 25-12-2024 28 Low Stock 07-01-2025 05-01-2025
AF-010 Fresh Coriander 100g Amazon Fresh Grocery Leafy Vegetables 100g Poly Pack Green coriander leaves AF-ST-103 Amazon Fresh Warehouse Bengaluru Karnataka Bangalore Prime Now 4.4 20 18 15 0% ?2 Off 18 05-01-2025 AF-OD-9110 30 min 0.7 18 RV-AF-010 Nidhi 4 Fresh Positive 28-12-2024 25 Low Stock 04-01-2025 05-01-2025
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Amazon Fresh India Dataset Categories

Core Fields

Amazon Fresh India Product Listings Dataset

Detailed grocery catalog data including product title, category, brand, quantity, packaging, and description.

Amazon Fresh India Pricing Dataset

Track product pricing, delivery fees, discounts, taxes, and promotions across stores.

Amazon Fresh India Delivery & Orders Dataset

Includes delivery speed, time slots, distance-based fee variations, and estimated arrival times.

Store & Retailer Dataset

Retailer details such as store name, region, coverage area, and fulfillment type.

Amazon Fresh India Customer Reviews Dataset

Comprehensive data on product and store reviews with rating distributions, review text, and sentiment insights.

Amazon Fresh India Inventory & Stock Dataset

Real-time visibility into product availability, stock levels, and delivery readiness by location.

Quality and normalization

Geo & Retailer Coverage

Our Amazon Fresh India datasets span 50+ major retailers and 1,000+ U.S. & Canadian cities, including:

Retailers: Walmart, Costco, Target, Kroger, Safeway, Publix, Whole Foods, CVS, Walgreens, Sam’s Club, Albertsons.

Regions: New York, California, Texas, Florida, Illinois, Washington, Ontario, British Columbia, and more.

Each dataset includes real-time data per region and retailer, enabling users to conduct Amazon Fresh India Grocery Data Extraction and regional-level market analysis for faster decision-making.

Geo Coverage 01

Use Cases of Amazon Fresh India Datasets

Scalable InfrastructureFor Grocery Retailers

Monitor competitor pricing and promotions.

Optimize delivery costs and basket value strategies.

Scalable InfrastructureFor FMCG & CPG Brands

Benchmark brand visibility, pricing, and discount frequency.

Track retail compliance and product performance.

Scalable InfrastructureFor Data Analysts & Researchers

Analyze city-wise grocery trends and price elasticity.

Study seasonal demand and substitution patterns.

Scalable InfrastructureFor AI/ML Teams

Build predictive models for dynamic pricing, inventory optimization, and delivery forecasting.

Benefits of Using Amazon Fresh India Datasets

Access real-time & historical Amazon Fresh India datasets with verified accuracy.

Automate grocery monitoring via Amazon Fresh India Scraping API.

Enhance pricing intelligence and delivery operations.

Scalable data — extend coverage by product type, region, or timeline.

Pricing & Subscription Models

We offer flexible plans to fit every business need:

One-Time Dataset Purchase

Best for research projects.

File formats

CSV, JSON, Parquet.

Monthly Subscription

Regularly updated datasets delivered automatically.

Enterprise License

Access all Amazon Fresh India regions with unlimited API calls.

Frequently Asked Questions

The Amazon Fresh India Item, Price & Review Datasets include detailed grocery product listings, prices, discounts, delivery fees, customer reviews, and stock availability from multiple U.S. and Canadian retailers integrated with Amazon Fresh India.
You can choose from daily, weekly, or real-time updates. Our real-time & historical Amazon Fresh India datasets are refreshed continuously for accuracy and consistency.
Yes. We offer customizable Amazon Fresh India datasets that can focus on particular retailers, categories, or cities. You can request data from any U.S. or Canadian market.
All Amazon Fresh India datasets are available in CSV, Excel, JSON, and through Amazon Fresh India Scraping API. Choose your preferred format for easy integration with BI tools and data warehouses.
Yes. You can access up to 3+ years of historical grocery and delivery data — ideal for long-term trend and demand analysis.
The Amazon Fresh India Pricing Dataset focuses on base prices, discounts, and promotions, while the Amazon Fresh India Delivery & Orders Dataset includes delivery speeds, charges, and fulfillment details such as time windows and delivery areas.
Absolutely. Our Amazon Fresh India Scraping API allows you to automate grocery data extraction in real-time, including product prices, delivery options, and stock updates from multiple stores.
Our coverage includes Walmart, Costco, Target, Kroger, Safeway, Publix, Whole Foods, CVS, Walgreens, Sam’s Club, and Albertsons, among many others available on the Amazon Fresh India platform.
These datasets enable market comparison, pricing optimization, inventory planning, and trend forecasting. Businesses use them to monitor competitors, adjust delivery strategies, and improve ROI.
You can contact us directly via the “Request Custom Dataset” form. Just specify your retailers, cities, or data parameters, and our team will deliver a tailored Amazon Fresh India dataset within your required timeframe.

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape Structure Analyze Visualize

Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

Move Forward Predict demand, price shifts, and future opportunities across geographies.

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time