Retailscape grocery data feed only Bungee provides a growing list of grocery banners by location. Currently, Bungee collects 30+ data points data daily from the top 60 retail banners, which is expected to grow to 85 retail banners in Q120.

View price, promotion and inventory data

Identify trends by brand and location

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Search using multiple attributes

Track retailers in any country

Output results in CSV format

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Our customers use Retail data feeds and APIs to understand the competitive landscape and also do a variety of activities that help them improve their position in the market.

Here are the details we gather for our customers

• Pricing data from competitor websites
• Promotions data from competitors websites
• Review data from competitors websites
• Product ranking data from websites
• Product data from competitor websites and supplier websites

Comprehensive dataset of 97 Animal feed stores in Maryland, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Gain access to the most extensive collection of Japanese consumer purchase survey data, monitoring the buying habits of over 50,000 respondents from publicly traded retailers. Unlock an unparalleled database of Japanese consumer purchase information, capturing the shopping activities of more than 50,000 individuals across listed retail companies. Tap into the largest repository of Japanese consumer purchase survey insights, tracking the product purchases of 50,000+ respondents at publicly listed retailers. Utilize the broadest array of Japanese consumer purchase survey statistics, detailing the buying patterns of over 50,000 participants from publicly traded retail outlets.

Unlock valuable insights with our comprehensive Home Depot product dataset. This dataset is meticulously curated, offering detailed information on a wide range of products available at Home Depot.

Whether you're conducting market research, enhancing your e-commerce platform, or analyzing retail trends, this dataset is an invaluable resource. It includes product names, descriptions, prices, categories, and more. Optimize your projects with high-quality, structured data from one of the largest home improvement retailers in the world.

Stay ahead in the competitive market with accurate and up-to-date product information.

Home Depot products latest dataset having around 2 million records. Get in touch with crawl feeds to require any updates in dataset.

For a closer look at the product-level data we’ve extracted from Home Depot, including pricing, stock status, and detailed specifications, visit the Home Depot dataset page. You can explore sample records and submit a request for tailored extracts directly from there.

Graph and download economic data for Producer Price Index by Commodity: Processed Foods and Feeds: Retail Bakery Products, Excluding Retail Trade (WPU02113001) from Jun 2014 to May 2025 about bakeries, processed, food, retail, commodities, PPI, inflation, price index, indexes, price, and USA.

Access real-time and historical US equity options data included as part of Databento's OPRA data feed. Nasdaq BX utilizes a taker-maker pricing model and offers economic incentives for liquidity takers. Nasdaq BX features popular order types such as Mid-Point Peg and Post-Only orders, Order Modify functionality and Self Match Prevention. It also offers a Retail Price Improvement Program for retail investors.

Comprehensive dataset of 246 Animal feed stores in Nebraska, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

United States - Producer Price Index by Commodity: Processed Foods and Feeds: Retail Bakery Products was 166.24400 Index Jun 2014=100 in May of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Processed Foods and Feeds: Retail Bakery Products reached a record high of 167.99400 in April of 2025 and a record low of 100.00000 in June of 2014. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Processed Foods and Feeds: Retail Bakery Products - last updated from the United States Federal Reserve on July of 2025.

Global Spend Analysis with Consumer Edge Credit & Debit Card Transaction Data

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Vision EUR is an aggregated transaction feed that includes consumer transaction data on 6.7M+ Europe-domiciled payment accounts, including 5.3M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 4.4K+ brands and 620 symbols including 490 public tickers. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

This data sample illustrates how Consumer Edge data can be used to understand a company’s growth by country for a specific time period (Ex: What was McDonald’s year-over-year growth by country from 2019-2020?)

Inquire about a CE subscription to perform more complex, near real-time global spend analysis functions on public tickers and private brands like: • Analyze year-over-year spend growth for a company for a subindustry by country • Analyze spend growth for a company vs. its competitors by country through most recent time

Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.

Use Case: Global Spend Analysis

Problem A global retailer wants to understand company performance by geography to identify growth and expansion opportunities.

Solution Consumer Edge transaction data can be used to analyze shopper behavior across geographies and track: • Growth trends by country vs. competitors • Brand performance vs. subindustry by country • Opportunities for product and location expansion

Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key growth drivers by geography for company-wide reporting • Refine strategy in underperforming geographies, both online and offline • Identify areas for investment and expansion by country • Understand how different cohorts are performing compared to key competitors

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.

Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends

Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period • Churn • Cross-Shop • Average Ticket Buckets

China Retail Sales Nowcast: YoY: Contribution: Agriculture Price: Retail Price: Rural Market Fair: Feed: Corn data was reported at 0.392 % in 12 May 2025. This records an increase from the previous number of 0.000 % for 05 May 2025. China Retail Sales Nowcast: YoY: Contribution: Agriculture Price: Retail Price: Rural Market Fair: Feed: Corn data is updated weekly, averaging 0.000 % from Feb 2021 (Median) to 12 May 2025, with 224 observations. The data reached an all-time high of 29.123 % in 03 Oct 2022 and a record low of 0.000 % in 05 May 2025. China Retail Sales Nowcast: YoY: Contribution: Agriculture Price: Retail Price: Rural Market Fair: Feed: Corn data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s China – Table CN.CEIC.NC: CEIC Nowcast: Retail Sales.

China Retail Price: MoM: Rural Market Fair: Feed: Corn data was reported at -1.200 % in Nov 2013. This stayed constant from the previous number of -1.200 % for Oct 2013. China Retail Price: MoM: Rural Market Fair: Feed: Corn data is updated monthly, averaging 0.800 % from Jan 2009 (Median) to Nov 2013, with 57 observations. The data reached an all-time high of 28.500 % in May 2009 and a record low of -18.700 % in Jun 2009. China Retail Price: MoM: Rural Market Fair: Feed: Corn data remains active status in CEIC and is reported by Ministry of Agriculture and Rural Affairs. The data is categorized under China Premium Database’s Price – Table CN.PA: Ministry of Agriculture and Rural Affairs: Retail Price: Agricultural Product.

China Retail Price: Rural Market Fair: Feed: Fish Meal: Imported data was reported at 11.890 RMB/kg in Nov 2013. This records a decrease from the previous number of 11.950 RMB/kg for Oct 2013. China Retail Price: Rural Market Fair: Feed: Fish Meal: Imported data is updated monthly, averaging 11.100 RMB/kg from Jan 2009 (Median) to Nov 2013, with 35 observations. The data reached an all-time high of 12.080 RMB/kg in Jun 2013 and a record low of 8.090 RMB/kg in Jan 2009. China Retail Price: Rural Market Fair: Feed: Fish Meal: Imported data remains active status in CEIC and is reported by Ministry of Agriculture and Rural Affairs. The data is categorized under China Premium Database’s Price – Table CN.PA: Ministry of Agriculture and Rural Affairs: Retail Price: Agricultural Product.

Demographics Analysis with Consumer Edge Credit & Debit Card Transaction Data

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Transact Signal is an aggregated transaction feed that includes consumer transaction data on 100M+ credit and debit cards, including 14M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 12K+ merchants and deep demographic and geographic breakouts. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

This data sample illustrates how Consumer Edge data can be used to compare demographics breakdown (age and income excluded in this free sample view) for one company vs. a competitor for a set period of time (Ex: How do demographics like wealth, ethnicity, children in the household, homeowner status, and political affiliation differ for Walmart vs. Target shopper?).

Inquire about a CE subscription to perform more complex, near real-time demographics analysis functions on public tickers and private brands like: • Analyze a demographic, like age or income, within a state for a company in 2023 • Compare all of a company’s demographics to all of that company’s competitors through most recent history

Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.

Use Case: Demographics Analysis

Problem A global retailer wants to understand company performance by age group.

Solution Consumer Edge transaction data can be used to analyze shopper transactions by age group to understand: • Overall sales growth by age group over time • Percentage sales growth by age group over time • Sales by age group vs. competitors

Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key demographic drivers of growth for company-wide reporting • Reduce investment in underperforming age groups, both online and offline • Determine retention by age group to refine campaign strategy • Understand how different age groups are performing compared to key competitors

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.

Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends

Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period ...

Unlock a curated dataset of 18,000+ fashion products from Farfetch, a leading global fashion platform. This dataset covers high-end and emerging designer brands across men's, women's, and unisex categories — perfect for powering retail analytics, trend detection, and AI-driven fashion applications.

Whether you're building a product matching engine, conducting price intelligence, or training recommendation systems, this structured dataset gives you direct insight into global luxury retail at scale.

Delivered clean, deduplicated, and crawl-ready, it supports both market researchers and developers working in ecommerce, fashion tech, or retail platforms.

Use Cases

• Competitive price analysis and product benchmarking

• Fashion trend prediction and forecasting

• Retail catalog enrichment or matching

• Cross-platform brand visibility comparison

• AI/ML model training (e.g., recommendation engines)

• Inventory and availability tracking for luxury fashion

This dataset provides information about the number of properties, residents, and average property values for Feed Store Road cross streets in Spencer, TN.

About this Dataset

Amazon india pet supplies dataset. Crawl Feeds Team extracted data from amazon for reasearch and analysis purposes. Last extracted on 25 jul 2022. Available format is CSV Total records: 52000 +

Category

Product Lists

Keywords

retail datasets,ecommerce dataset,amazon data,amazon pet supplies dataset

Row Count

52583

Price

$175.00

ATOM-Feed - Retail at Kirchdamm in the municipality of Grasberg

About this Dataset

ASOS is fashion retailer. Crawl Feeds team extracted more than 100K+ fashion products from ASOS US along with 25 datapoints. Dataset available in CSV Format. Last extracted on 26 Jun 2022.

Category

Product Lists

Keywords

ecoomerce,fashion data,fashion Ecommerce data,retail

Row Count

4001

Price

$130.00

Comprehensive dataset of 363 Animal feed stores in Michigan, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.