Context

This is the dataset scrapped for study purpose. Dataset contains price of different household items over a period of time.

Content

1. month
2. Rice : Price of Rice(in US Dollars) per Kilogram
3. wheat : Price of Wheat(in US Dollars) per Kilogram
4. Barley : Price of Barley(in US Dollars) per Kilogram
5. Corn : Price of Corn(in US Dollars) per Kilogram
6. Peanuts : Price of Peanuts(in US Dollars) per Kilogram
7. Sugar : Price of Sugar(in US Dollars) per Kilogram
8. Coconut-oil : Price of Coconut-oil (in US Dollars) per liter
9. Palm-oil : Price of Palm-oil (in US Dollars) per liter
10. Sunflower-oil : Price of Sunflower-oil (in US Dollars) per liter
11. Chicken : Price of Chicken(in US Dollars) per Kilogram
12. Beef : Price of Chicken(in US Dollars) per Kilogram
13. Pork : Price of Chicken(in US Dollars) per Kilogram
14. Fish : Price of Chicken(in US Dollars) per Kilogram
15. Tea : Price of Tea(in US Dollars) per Kilogram
16. Coffee : Price of Coffee(in US Dollars) per Kilogram

Graph and download economic data for Producer Price Index by Industry: Supermarkets and Other Grocery Stores (PCU445110445110) from Dec 1999 to Sep 2025 about groceries, PPI, industry, inflation, price index, indexes, price, and USA.

Food price increases hit the egg category the hardest between December 2021 and December 2024 in the United States. The price of eggs increased by **** percent in 2024.

I scraped grocery data from Costco's online marketplace.

Features:

• Sub Category:

This column categorizes the grocery items into subcategories, providing a detailed classification for easier analysis and organization.

• Price:

Represents the monetary value of the grocery item, indicating its cost or retail price in the specified currency.

• Discount:

Reflects any discounts or promotional offers applicable to the respective grocery item, providing insights into pricing strategies.

• Rating:

Indicates the customer satisfaction or product quality based on user ratings, offering a measure of the overall perceived value of the grocery item.

• Title:

Describes the name or title of the grocery item, providing a concise identifier for easy reference and understanding.

• Currency:

Specifies the currency in which the prices are denominated, facilitating proper interpretation and comparison of monetary values.

• Feature:

Includes features or characteristics of the grocery item, offering additional information about its unique attributes or selling points.

• Product Description:

Provides a detailed textual description of the grocery item, offering comprehensive information about its specifications, uses, and other relevant details. This column is particularly useful for understanding product details beyond what is captured in other columns.

Grocery Inventory and Sales Dataset

Dataset Overview:

This dataset provides detailed information on various grocery items, including product details, supplier information, stock levels, reorder data, pricing, and sales performance. The data covers 990 products across various categories such as Grains & Pulses, Beverages, Fruits & Vegetables, and more. The dataset is useful for inventory management, sales analysis, and supply chain optimization.

Columns:

• Product_ID: Unique identifier for each product.
• Product_Name: Name of the product.
• Category: The product category (e.g., Grains & Pulses, Beverages, Fruits & Vegetables).
• Supplier_ID: Unique identifier for the product supplier.
• Supplier_Name: Name of the supplier.
• Stock_Quantity: The current stock level of the product in the warehouse.
• Reorder_Level: The stock level at which new stock should be ordered.
• Reorder_Quantity: The quantity of product to order when the stock reaches the reorder level.
• Unit_Price: Price per unit of the product.
• Date_Received: The date the product was received into the warehouse.
• Last_Order_Date: The last date the product was ordered.
• Expiration_Date: The expiration date of the product, if applicable.
• Warehouse_Location: The warehouse address where the product is stored.
• Sales_Volume: The total number of units sold.
• Inventory_Turnover_Rate: The rate at which the product sells and is replenished.
• Status: Current status of the product (e.g., Active, Discontinued, Backordered).

Dataset Usage:

• Inventory Management: Analyze stock levels and reorder strategies to optimize product availability and reduce stockouts or overstock.
• Sales Performance: Track sales volume and inventory turnover rate to understand product demand and profitability.
• Supplier Analysis: Evaluate suppliers based on product availability, pricing, and delivery frequency.
• Product Lifecycle: Identify discontinued or backordered products and analyze expiration dates for perishable goods.

How to Use:

This dataset can be used for various tasks such as: - Predicting reorder quantities using machine learning. - Analyzing inventory turnover to optimize stock levels. - Conducting sales trend analysis to identify popular or slow-moving items. - Improving supply chain efficiency by analyzing supplier performance.

Notes:

• This dataset is fictional and used for educational or demonstration purposes only.
• The expiration dates and last order dates should be considered for time-sensitive or perishable items.
• Some products have been marked as discontinued or backordered, indicating their current status in the inventory system.

License:

This dataset is released under the Creative Commons Attribution 4.0 International License. You are free to share, adapt, and use the data, provided proper attribution is given.

United States - Producer Price Index by Industry: Supermarkets and Other Grocery Stores: Supermarket and Other Grocery Store Services was 280.98500 Index Dec 1999=100 in August of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Supermarkets and Other Grocery Stores: Supermarket and Other Grocery Store Services reached a record high of 290.16800 in February of 2025 and a record low of 100.00000 in December of 1999. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Supermarkets and Other Grocery Stores: Supermarket and Other Grocery Store Services - last updated from the United States Federal Reserve on November of 2025.

Introduction Unlock powerful insights with the Target Groceries Data dataset, featuring an extensive collection of over thousands of grocery products sold at Target stores across the USA. This dataset, available in CSV format, is ideal for analysts, researchers, and marketers who want to explore product details, pricing trends, and consumer preferences in one of the biggest retail chains in the United States.

With detailed information on groceries from various categories, including fresh produce, packaged foods, snacks, beverages, and more, this dataset empowers you to perform in-depth market analysis, track product performance, and understand consumer shopping behaviors.

Key Features of the Target Groceries Data Dataset

The Target Groceries Data dataset provides a wide range of attributes that allow you to analyze grocery products across multiple dimensions. Key data points include:

• Title: Name of the grocery product.
• URL: Direct link to the product page on the Target website.
• Brand: The brand associated with the product.
• Main Image: Primary image of the product for easy visual identification.
• SKU: Unique product identifier for inventory management.
• Description: A detailed description of the product, including key features and uses.
• Raw Description: The unprocessed, full product description as listed on the Target website.
• GTIN13: Global Trade Item Number (GTIN13), a unique identifier for the product.
• Currency: Currency used for the product price (usually USD for the USA).
• Price: The listed price of the product.
• Availability: Whether the product is in stock or out of stock.
• Available Delivery Method: Options available for delivery (e.g., standard shipping, same-day delivery).
• Available Branch: Locations where the product is available for pickup.
• Primary Category: The main category the product falls under (e.g., Grocery, Household).
• Sub Category 1, 2, 3: Additional category breakdowns for better classification (e.g., Snacks, Beverages, Organic).
• Images: Additional product images.
• Raw Specifications: The full list of product specifications in raw text format.
• Specifications: Structured version of the product specifications for easy analysis.
• Highlights: Key selling points or product features.
• Raw Highlights: Raw text from product highlights.
• Uniq ID: Unique identifier for each product record in the dataset.
• Scraped At: Timestamp for when the data was scraped, ensuring data freshness.

Why Use the Target Groceries Data?

1. Comprehensive Market Research: Dive deep into the grocery market by analyzing product prices, availability, and consumer favorites across multiple categories.
2. Pricing Strategy Insights: Leverage data on prices, discounts, and availability to assess competitive pricing strategies and optimize your own.
3. Consumer Behavior Analysis: With product descriptions, highlights, and specifications, understand what influences consumer purchasing decisions.
4. Product Performance Tracking: Analyze how products in various categories are performing, identify popular brands, and track trends over time using scraped_at timestamps.
5. Optimized Inventory Management: Utilize SKU, availability, and delivery method data for efficient inventory tracking and management.

How to Access the Dataset The Target Groceries Data is available in CSV format, making it easy to import into any data analysis tool for in-depth analysis. Whether you're a business strategist, data scientist, or researcher, this dataset offers everything you need to gain valuable insights into the grocery retail market.

Conclusion Enhance your analysis of the grocery sector with the Target Groceries Data. With detailed attributes such as product titles, pricing, availability, and specifications, this dataset provides everything you need to make informed, data-driven decisions in the competitive grocery market.

In the United States, online grocery prices hit a five-year peak in September 2022, when they registered a **** percent year-over-year increase. In the country, the prices of grocery products available online have increased continuously prior to 2024. However, the prices of grocery products have seen decreases since February 2025. In July 2025, the online grocery prices lowered by **** percent, marking an unprecedented period of inflation.

1) Data Introduction • The Grocery Store Dataset is a tabulated retail dataset of detailed information, including detailed classifications, prices, discounts, ratings, product names, currencies, key features, and detailed descriptions of groceries collected from the Costco online market.

2) Data Utilization (1) Grocery Store Dataset has characteristics that: • Each row contains a variety of attributes needed for grocery analysis, including detailed categories of products, prices, applied discounts, customer ratings, product names, currencies, key features, and detailed descriptions. • The data encompasses a wide range of products and is organized to enable multi-faceted analysis of price policies, promotions, customer evaluations, and product characteristics. (2) Grocery Store Dataset can be used to: • Analysis of pricing and discount strategies: Use price, discount, and rating data to create effective pricing policies and promotion strategies. • Product recommendations and popularity analysis by category: Based on product characteristics, ratings, and detailed descriptions, it can be applied to recommend customized products and derive popular products by category.

Graph and download economic data for Producer Price Index by Industry: Supermarkets and Other Grocery Stores: Primary Services (PCU445110445110P) from Dec 1999 to Sep 2025 about groceries, primary, services, PPI, industry, inflation, price index, indexes, price, and USA.

Explore our detailed Foodlion groceries dataset, featuring extensive information on a wide array of grocery items available at Foodlion.

This dataset includes product names, categories, descriptions, prices, and availability, providing a thorough view of the grocery offerings.

Ideal for market research, competitive analysis, and business intelligence, this dataset helps analysts and businesses understand pricing trends, inventory levels, and product assortments.

Enhance your insights into the grocery retail sector with this comprehensive collection of Foodlion product data.

Foodlion groceries dataset in CSV format. Crawl feeds team extracted by using in-house tools.

Complexity: Difficult

Monthly average retail prices for food, household supplies, personal care items, cigarettes and gasoline. Prices are presented for the current month and previous four months. Prices are in Canadian current dollars.

This data can be used to get some insight into US grocery market. The data set extracts all products from Walmart Grocery department. The extraction methodology is: first set a shipping location and extract all products from the Grocery department; then set another shipping location, and extract all products again, .... and then repeat the similar for a few other shipping locations. THe first column is the shipping location (basically a us zipcode). Key fields: SHIPPING_LOCATION,DEPARTMENT,CATEGORY,SUBCATEGORY,BREADCRUMBS,SKU,PRODUCT_URL,PRODUCT_NAME,BRAND,PRICE_RETAIL,PRICE_CURRENT,PRODUCT_SIZE,PROMOTION

Contact info@barkingdata.com to subscribe more.

You may also be interested in Australia Grocery product dataset: https://www.kaggle.com/datasets/polartech/australia-grocery-product-dataset

Online data collected from the Jumia online store. The data is centered around food stuff price variations given, discounts, ratings and other variables. - Name - Product Name - Current Price - price at the time of data gathering - Old Price - Price before discount(if any) - % discount - percentage discount that applies - Rating - Product ratings{on a 0-5 scale} - Review Count - Number of reviews per product - Shipped? - Factor variable; whether or not a product was shipped from overseas - Official Store? - Factor variable; whether or not a product was bought from the official store

Graph and download economic data for Consumer Price Index for All Urban Consumers: Food at Home in U.S. City Average (CUSR0000SAF11) from Jan 1952 to Sep 2025 about urban, food, consumer, CPI, housing, inflation, price index, indexes, price, and USA.

According to a June 2022 global survey, most e-shoppers reported rising prices for groceries being an issue while online shopping. Nearly ** percent of shoppers in Brazil stated that increased food prices influenced their shopping behavior, while South Korea had the second-highest number of respondents reporting the issue, at ** percent.

Online food market Worldwide, China is home to the largest online food delivery market by revenue. In 2022, China's online food delivery market was valued at roughly *** billion U.S. dollars. The online food delivery market in the United States ranked second, with almost *** billion U.S. dollars in revenue. The United Kingdom (UK) and India were among the leading countries, with ** billion and ** billion U.S. dollars, respectively. While China leads in revenue, online food delivery penetration is the highest in the UK. In 2022, almost three-quarters of UK shoppers purchased meals via the internet, whereas only slightly more than half of Chinese consumers had done the same.

Inflation hits grocery prices The impact of inflation on food prices can be seen throughout the world. In the United States, it has adversely affected online grocery since June 2021. For instance, year-on-year inflation for groceries stood at **** percent in October 2022. Consumers in the UK are the most worried about rising food prices. In November 2022, eight out of ten UK shoppers expected grocery prices to rise further in the following months. In Europe, shoppers are changing their grocery purchasing habits due to inflation. Half of Europeans are trying private-label brands, and ** percent are straying from their go-to brand. As a result of inflation, ** percent are now shifting away from brick-and-mortar stores to online grocery shopping.

The Consumer Price Index (CPI) for food is a component of the all-items CPI. The CPI measures the average change over time in the prices paid by urban consumers for a representative market basket of consumer goods and services. While the all-items CPI measures the price changes for all consumer goods and services, including food, the CPI for food measures the changes in the retail prices of food items only.

According to a survey carried out in the United States in 2025, ** percent of respondents aged 55 and older stated that they experience higher prices when buying dairy products at the grocery store. For those aged between 18 and 34, ** percent stated experiencing a price hike in those typed of products.

Cost of food in the United States increased 3.10 percent in September of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Discover our comprehensive dataset of groceries and essentials from Kroger, featuring detailed information on a wide range of products available at this major retailer.

The dataset includes product names, categories, descriptions, prices, and availability, providing a thorough view of Kroger’s grocery and essential offerings.

Ideal for market analysis, inventory management, and competitive research, this dataset enables businesses and analysts to track pricing trends, monitor stock levels, and understand consumer preferences.

Gain valuable insights into the grocery retail sector with this extensive collection of Kroger product data.

Kroger groceries and essentials data is extracted by using crawl feeds team in-house tools. Last extracted on Nov 2022.