100+ datasets found
  1. l

    Restaurant Database (2025) | List of USA Restaurants

    • leadsdeposit.com
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    Restaurant Database (2025) | List of USA Restaurants [Dataset]. https://leadsdeposit.com/restaurant-database/
    Explore at:
    License

    https://leadsdeposit.com/restaurant-database/https://leadsdeposit.com/restaurant-database/

    Description

    Dataset of 700,000 restaurants in the United States complete with detailed contact and geolocation data. The database includes multiple data points such as restaurant name, address, phone number, website, email, opening hours, latitude, longitude, and cuisine.

  2. d

    Worldwide enhanced F&B (restaurants, cafés, etc.) dataset, including...

    • datarade.ai
    Updated Nov 23, 2022
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    Dotlas (2022). Worldwide enhanced F&B (restaurants, cafés, etc.) dataset, including metadata, social profiles, menus, reviews, pictures, and more. [Dataset]. https://datarade.ai/data-products/worldwide-enhanced-f-b-restaurants-cafes-etc-dataset-in-dotlas
    Explore at:
    .json, .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Nov 23, 2022
    Dataset authored and provided by
    Dotlas
    Area covered
    Austria, Germany, Portugal, Greece, Czech Republic, Ireland, United States of America, Poland, Norway, Kuwait
    Description

    Data you can expect: - Metadata (country, region, city, coordinates, address, categories, description, operating hours, and more) - Contacts (phone contacts, email, website) - Social profiles (LinkedIn, Twitter, Instagram, Facebook) - Reviews (reviews and ratings on different sites) - Menus (categories, items, prices, descriptions and photos) - Other info (awards, Michelin stars, executive chef, popular dishes, average meal price, and more) - Photos (ambience, food, menu photos)

    Let us know if you have a specific request, and we'll try to fulfil it.

    How we deliver data: - We transform it to fit your system's data schema, (ease the pain and cost of having data engineers from your side) - We are completely flexible on the delivery format and method.

  3. H

    US restaurant data by county

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Feb 26, 2025
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    Steve Pickering (2025). US restaurant data by county [Dataset]. http://doi.org/10.7910/DVN/AUUN3W
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 26, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Steve Pickering
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This data set is a list of the number and proportion of different types of restaurant in each electoral county in the United States. It also contains other socio-economic and public health data.

  4. N

    cafes

    • data.cityofnewyork.us
    application/rdfxml +5
    Updated Jun 29, 2025
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    Department of Health and Mental Hygiene (DOHMH) (2025). cafes [Dataset]. https://data.cityofnewyork.us/Health/cafes/vwd4-zu8g
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    csv, application/rdfxml, json, application/rssxml, xml, tsvAvailable download formats
    Dataset updated
    Jun 29, 2025
    Authors
    Department of Health and Mental Hygiene (DOHMH)
    Description

    This dataset provides restaurant inspections, violations, grades and adjudication information

  5. d

    Global Bar & Restaurant Data | Point of Interest (POI) & Foot Traffic Data |...

    • datarade.ai
    .json, .csv
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    dataplor, Global Bar & Restaurant Data | Point of Interest (POI) & Foot Traffic Data | 31M+ Locations [Dataset]. https://datarade.ai/data-products/global-bar-restaurant-data-31m-businesses-250-countrie-dataplor
    Explore at:
    .json, .csvAvailable download formats
    Dataset authored and provided by
    dataplor
    Area covered
    Ireland, American Samoa, Réunion, Guyana, Palau, Paraguay, Thailand, Qatar, Malta, Nicaragua
    Description

    In the fast-paced world of hospitality, data is essential for success. Our Global Bar & Restaurant POI database offers in-depth information on the locations of the world's top bars and restaurants, providing businesses with a powerful tool for strategic decision-making. Whether you're a restaurant chain, a marketing agency, or a hospitality researcher, our Global Bar & Restaurant database is a valuable resource for making informed decisions.

    What You'll Find in the Database:

    • Precise Location Data: Full address, geographic coordinates, and neighborhood details for each establishment.

    -Visitation Metrics: GDPR-compliant, non-PII foot traffic insights to help you identify the best locations for your next opening.

    • Establishment Information: Official name, unique identifier, and type of establishment (bar, restaurant, café, fast-food chain, etc.).

    • Operational Status: Whether the establishment is currently open or closed.

    • Date Established: Historical context for trend analysis.

    • Data Confidence Level: A rating indicating the accuracy of the information.

    How You Can Use This Database:

    • Market Analysis: Assess the distribution and density of bars and restaurants globally.

    • Site Selection: Identify promising locations for new establishments based on demographics, competition, and visitation metrics of nearby establishments.

    • Targeted Marketing: Reach customers near specific establishments with personalized offers.

    • Competitive Intelligence: Understand the landscape and identify rivals' strategies.

    • Supply Chain Optimization: Streamline logistics based on the distribution of your target establishments.

  6. Global Restaurant Location Data | Location + POI Data on 1M+ Restaurants

    • datarade.ai
    Updated Jan 24, 2025
    + more versions
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    MealMe (2025). Global Restaurant Location Data | Location + POI Data on 1M+ Restaurants [Dataset]. https://datarade.ai/data-products/global-restaurant-location-data-location-poi-data-on-1m-mealme
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 24, 2025
    Dataset provided by
    MealMe, Inc.
    Authors
    MealMe
    Area covered
    Canada, United States
    Description

    MealMe offers in-depth restaurant menu data, including prices, from the top 100,000 restaurants across the USA and Canada. Our proprietary technology collects accurate, real-time menu and pricing information, enabling businesses to make data-driven decisions in competitive intelligence, pricing optimization, and market research. With comprehensive coverage that spans major restaurant platforms and chains, MealMe ensures your business has access to the most reliable data to excel in a rapidly evolving industry.

    Platforms and Restaurants Covered: MealMe's database includes data from leading restaurant platforms such as UberEats, Postmates, ToastTakeout, SkipTheDishes, Square, Appfront, Olo, TouchBistro, and Clover, as well as direct menu data from major restaurant chains including Raising Cane’s, Panda Express, Popeyes, Burger King, and Subway. This extensive coverage ensures a detailed view of the market, helping businesses monitor trends, pricing, and availability across a broad spectrum of restaurant types and sizes.

    Key Features: Comprehensive Menu Data: Access detailed menu information, including item descriptions, categories, sizes, and customizations. Real-Time Pricing: Monitor up-to-date menu prices for accurate competitive analysis. Restaurant-Specific Insights: Analyze individual restaurant chains such as Raising Cane’s and Panda Express, or platforms like UberEats, for market trends and pricing strategies. Cross-Platform Analysis: Compare menu items and pricing across platforms like ToastTakeout, Olo, and SkipTheDishes for a holistic industry view. Regional Data: Understand geographic variations in menu offerings and pricing across the USA and Canada.

    Use Cases: Competitive Intelligence: Track menu offerings, pricing strategies, and seasonal trends across platforms like UberEats and Postmates or chains like Popeyes and Subway. Market Research: Identify gaps in the market by analyzing menus and pricing from top restaurants. Pricing Optimization: Use real-time pricing data to inform dynamic pricing strategies and promotions. Trend Monitoring: Stay ahead by tracking popular menu items, regional preferences, and emerging food trends. Platform Analysis: Assess how restaurants perform across delivery platforms such as SkipTheDishes, Olo, and Square. Industries Benefiting from Our Data Restaurant Chains: Optimize menu offerings and pricing strategies with detailed competitor data. Food Delivery Platforms: Benchmark menu pricing and availability across competitive platforms. Market Research Firms: Conduct detailed analyses to identify opportunities and market trends. AI & Analytics Companies: Power recommendation engines and predictive models with robust menu data. Consumer Apps: Enhance app experiences with accurate menu and pricing data. Data Delivery and Integration

    MealMe offers flexible integration options to ensure seamless access to our comprehensive menu data. Whether you need bulk exports for in-depth research or real-time updates via API, our solutions are designed to scale with your business needs.

    Why Choose MealMe? Extensive Coverage: Menu data from 100,000+ restaurants, including major chains like Burger King and Raising Cane’s. Real-Time Accuracy: Up-to-date pricing and menu details for actionable insights. Customizable Solutions: Tailored datasets to meet your specific business objectives. Proven Expertise: Trusted by top companies for delivering reliable, actionable data. MealMe empowers businesses with the data needed to thrive in a competitive restaurant and food delivery market. For more information or to request a demo, contact us today!

  7. p

    Cafes in Germany - 49,008 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jun 13, 2025
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    Poidata.io (2025). Cafes in Germany - 49,008 Verified Listings Database [Dataset]. https://www.poidata.io/report/cafe/germany
    Explore at:
    csv, excel, jsonAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Germany
    Description

    Comprehensive dataset of 49,008 Cafes in Germany as of June, 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.

  8. p

    Cafes in State of Roraima, Brazil - 88 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jul 1, 2025
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    Poidata.io (2025). Cafes in State of Roraima, Brazil - 88 Verified Listings Database [Dataset]. https://www.poidata.io/report/cafe/brazil/state-of-roraima
    Explore at:
    csv, json, excelAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset provided by
    Poidata.io
    Area covered
    State of Roraima
    Description

    Comprehensive dataset of 88 Cafes in State of Roraima, Brazil 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.

  9. Cafes And Bars Market Analysis, Size, and Forecast 2024-2028: North America...

    • technavio.com
    Updated Jun 23, 2024
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    Technavio (2024). Cafes And Bars Market Analysis, Size, and Forecast 2024-2028: North America (US and Canada), Europe (France, Germany, Italy, and UK), Middle East and Africa (Egypt, KSA, Oman, and UAE), APAC (China, India, and Japan), South America (Argentina and Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/cafes-and-bars-market-industry-analysis
    Explore at:
    Dataset updated
    Jun 23, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, Germany, Canada, United States
    Description

    Snapshot img

    Cafes And Bars Market Size 2024-2028

    The cafes and bars market size is forecast to increase by USD 68.8 billion, at a CAGR of 4.36% between 2023 and 2028.

    The market is experiencing significant growth, fueled by the increasing number of establishments catering to diverse consumer preferences. This proliferation of cafes signifies a shift towards more casual dining experiences, offering convenience and flexibility for consumers. This trend is fueled by the changing consumer preferences towards convenient and social dining experiences. Another key driver is the demand for innovation and customization in food menus, which is leading cafes and bars to offer unique and personalized offerings to attract customers. However, the market is not without challenges. The rising popularity of home-cooked meals and the increasing competition from quick-service restaurants pose significant threats.
    To capitalize on market opportunities and navigate challenges effectively, companies must stay attuned to evolving consumer trends and preferences, continually innovating their offerings and enhancing the customer experience. Additionally, strategic partnerships and collaborations can help cafes and bars differentiate themselves and attract a loyal customer base.
    

    What will be the Size of the Cafes And Bars Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
    Request Free Sample

    In the dynamic and evolving the market, specialty coffee continues to gain popularity, with extraction ratios and roast profiles being meticulously refined through advanced espresso machines. Catering services expand their offerings, integrating sensory evaluation and dessert menus to elevate the customer experience. Restaurant design innovations incorporate bar stools and beer selection, while event hosting requires careful cost control and coffee packaging. Bartending skills and social media marketing are essential for bars, with supply chain optimization and loyalty programs enhancing customer engagement. Employee training and beverage dispensing systems ensure consistency, while roast profiles and brewing methods cater to diverse preferences.

    Health inspections, food safety, and fair trade coffee are crucial components of the industry, with ethical sourcing and inventory management shaping the supply chain. Waste management and marketing strategies are also vital for sustainability and profitability. Cafes and bars adapt to the continuous unfolding of market activities, integrating organic coffee, milk frothing techniques, and nitrogen infusion into their offerings. Coffee cupping and food pairing provide unique experiences, while Instant Coffee and staff scheduling streamline operations. The market remains a dynamic and ever-evolving landscape, with hygiene standards, water filtration, and pricing strategies shaping the competitive landscape. Quality control and wine lists add depth to the customer experience, making this industry a fascinating and continuously unfolding business environment.

    How is this Cafes And Bars Industry segmented?

    The cafes and bars industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Product
    
      Beverages
      Food
    
    
    Type
    
      Bars and pubs
      Cafes
      Specialty coffee shops
    
    
    Service Mode
    
      Dine-In
      Takeaway
      Delivery
    
    
    Cuisine Type
    
      Specialty Coffee
      Alcoholic Beverages
      Ethnic Snacks
      Traditional Snacks
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      Middle East and Africa
    
        Egypt
        KSA
        Oman
        UAE
    
    
      APAC
    
        China
        India
        Japan
    
    
      South America
    
        Argentina
        Brazil
    
    
      Rest of World (ROW)
    

    By Product Insights

    The beverages segment is estimated to witness significant growth during the forecast period.

    In The market, the food segment is experiencing significant growth due to consumers' increasing preference for quick breakfast options. Despite beverages dominating sales in developed countries like North America and Europe, the trend of purchasing convenient breakfast foods from cafes and bars is on the rise. This shift is attributed to people's hectic lifestyles and the availability of a variety of food items. Popular offerings include cakes, pastries, doughnuts, sandwiches, burgers, pizza, and chocolates. Coffee shops also sell packaged side items. Snacking options, such as doughnuts and sandwiches, are increasingly popular among consumers worldwide. Catering services are another growing trend in the market, providing customized food options for events and offices.

    The coffee shop layout and atmosphere play a crucial role in attracting cus

  10. p

    Cafes in Spain - 37,429 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jun 24, 2025
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    Poidata.io (2025). Cafes in Spain - 37,429 Verified Listings Database [Dataset]. https://www.poidata.io/report/cafe/spain
    Explore at:
    excel, json, csvAvailable download formats
    Dataset updated
    Jun 24, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Spain
    Description

    Comprehensive dataset of 37,429 Cafes in Spain as of June, 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.

  11. d

    Restaurant Data | All Top Restaurant and Food Store Locations in US and...

    • datarade.ai
    Updated Nov 23, 2023
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    Xtract (2023). Restaurant Data | All Top Restaurant and Food Store Locations in US and Canada | Accurate Points of Interest Data [Dataset]. https://datarade.ai/data-products/poi-data-restaurants-data-us-xtract
    Explore at:
    .json, .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Nov 23, 2023
    Dataset authored and provided by
    Xtract
    Area covered
    Canada, United States
    Description

    Xtract.io's comprehensive location data for restaurants and food stores offers a detailed view of the retail food landscape. Retail strategists, market researchers, and business developers can utilize this dataset to analyze market distribution, identify emerging trends, and develop targeted expansion strategies across the food retail sector.

    Point of Interest (POI) data, also known as places data, provides the exact location of buildings, stores, or specific places. It has become essential for businesses to make smarter, geography-driven decisions in today's competitive landscape.

    LocationsXYZ, the POI data product from Xtract.io, offers a comprehensive database of 6 million locations across the US, UK, and Canada, spanning 11 diverse industries, including:

    -Retail -Restaurants -Healthcare -Automotive -Public utilities (e.g., ATMs, park-and-ride locations) -Shopping malls, and more

    Why Choose LocationsXYZ? At LocationsXYZ, we: -Deliver POI data with 95% accuracy -Refresh POIs every 30, 60, or 90 days to ensure the most recent information -Create on-demand POI datasets tailored to your specific needs -Handcraft boundaries (geofences) for locations to enhance accuracy -Provide POI and polygon data in multiple file formats

    Unlock the Power of POI Data With our point-of-interest data, you can: -Perform thorough market analyses -Identify the best locations for new stores -Gain insights into consumer behavior -Achieve an edge with competitive intelligence

    LocationsXYZ has empowered businesses with geospatial insights, helping them scale and make informed decisions. Join our growing list of satisfied customers and unlock your business's potential with our cutting-edge POI data.

  12. CAFE (Corporate Average Fuel Economy)

    • catalog.data.gov
    • data.transportation.gov
    • +3more
    Updated May 1, 2024
    + more versions
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    National Highway Traffic Safety Administration (2024). CAFE (Corporate Average Fuel Economy) [Dataset]. https://catalog.data.gov/dataset/cafe-corporate-average-fuel-economy
    Explore at:
    Dataset updated
    May 1, 2024
    Description

    NHTSA's Corporate Average Fuel Economy (CAFE) program requires manufacturers of passenger cars and light trucks, produced for sale in the U.S., to meet CAFE standards, expressed in miles per gallon (mpg). The purpose of the CAFE program is to reduce the nation's energy consumption by increasing the fuel economy of cars and light trucks. The CAFE Public Information Center (PIC) is the authoritative source for Corporate Average Fuel Economy (CAFE) program data. This site allows fuel economy data to be viewed in report and/or graph format. The data can be sorted and filtered to produce custom reports which can also be downloaded as Excel or pdf files. NHTSA periodically updates the CAFE data in the PIC and, therefore, each report and graph is date stamped to indicate the last time NHTSA made updates.

  13. d

    DoorDash Restaurants List (all 294k records) | scrapelabs.io

    • datarade.ai
    .csv
    Updated Nov 25, 2022
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    ScrapeLabs (2025). DoorDash Restaurants List (all 294k records) | scrapelabs.io [Dataset]. https://datarade.ai/data-products/doordash-restaurants-list-all-294k-records-scrapelabs
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Nov 25, 2022
    Dataset authored and provided by
    ScrapeLabs
    Area covered
    United States of America
    Description

    Over 294k restaurants from DoorDash.

    Sample data: https://docs.google.com/spreadsheets/d/1lFU8or5it29i2OchEX3nmzYrYbx3t_77LaXhf_qzAfY

    We can create a custom list based on your criteria e.g. restaurants from specific locations, above a certain rating or number of reviews threshold etc.

    We can also enrich the data with additional data points based on your needs.

  14. d

    Restaurants, Fast Food, USA, Top 25 | 200k+ PoIs with 30+ Attributes |...

    • datarade.ai
    .json, .xml, .csv
    Updated Feb 20, 2025
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    xavvy (2025). Restaurants, Fast Food, USA, Top 25 | 200k+ PoIs with 30+ Attributes | monthly updates | API & Datasets [Dataset]. https://datarade.ai/data-products/restaurants-fast-food-usa-top-25-200k-pois-with-30-att-xavvy
    Explore at:
    .json, .xml, .csvAvailable download formats
    Dataset updated
    Feb 20, 2025
    Dataset authored and provided by
    xavvy
    Area covered
    United States
    Description

    Xavvy fuel is the leading source for location data and market insights worldwide. We specialize in data quality and enrichment, providing high-quality POI data for restaurants and quick-service establishments in the United States.

    Base data • Name/Brand • Adress • Geocoordinates • Opening Hours • Phone • ... ^

    30+ Services • Delivery • Wifi • ChargePoints • …

    10+ Payment options • Visa • MasterCard • Google Pay • individual Apps • ...

    Our data offering is highly customizable and flexible in delivery – whether one-time or regular data delivery, push or pull services, and various data formats – we adapt to our customers' needs.

    Brands included: • McDonalds • Burger King • Subway • KFC • Wendy's • ...

    The total number of restaurants per region, market share distribution among competitors, or the ideal location for new branches – our restaurant data provides valuable insights into the food service market and serves as the perfect foundation for in-depth analyses and statistics. Our data helps businesses across various industries make informed decisions regarding market development, expansion, and competitive strategies. Additionally, our data contributes to the consistency and quality of existing datasets. A simple data mapping allows for accuracy verification and correction of erroneous entries.

    Especially when displaying information about restaurants and fast-food chains on maps or in applications, high data quality is crucial for an optimal customer experience. Therefore, we continuously optimize our data processing procedures: • Regular quality controls • Geocoding systems to refine location data • Cleaning and standardization of datasets • Consideration of current developments and mergers • Continuous expansion and cross-checking of various data sources

    Integrate the most comprehensive database of restaurant locations in the USA into your business. Explore our additional data offerings and gain valuable market insights directly from the experts!

  15. d

    Restaurant Data | McDonald's Fast-Food Restaurants Locations in US and...

    • datarade.ai
    Updated Jul 26, 2024
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    Xtract (2024). Restaurant Data | McDonald's Fast-Food Restaurants Locations in US and Canada | Comprehensive POI Coverage [Dataset]. https://datarade.ai/data-products/xtract-io-point-of-interest-poi-data-locations-data-a-xtract-acf6
    Explore at:
    .bin, .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 26, 2024
    Dataset authored and provided by
    Xtract
    Area covered
    Canada, United States
    Description

    Xtract.io's comprehensive McDonald's location data provides a detailed view of the global fast-food chain's network. Restaurant investors, market researchers, and business analysts can utilize this dataset to analyze market penetration, identify expansion opportunities, and develop a sophisticated understanding of McDonald's geographical strategy.

    Point of Interest (POI) data, also known as places data, provides the exact location of buildings, stores, or specific places. It has become essential for businesses to make smarter, geography-driven decisions in today's competitive landscape.

    LocationsXYZ, the POI data product from Xtract.io, offers a comprehensive database of 6 million locations across the US, UK, and Canada, spanning 11 diverse industries, including:

    -Retail -Restaurants -Healthcare -Automotive -Public utilities (e.g., ATMs, park-and-ride locations) -Shopping malls, and more

    Why Choose LocationsXYZ? At LocationsXYZ, we: -Deliver POI data with 95% accuracy -Refresh POIs every 30, 60, or 90 days to ensure the most recent information -Create on-demand POI datasets tailored to your specific needs -Handcraft boundaries (geofences) for locations to enhance accuracy -Provide POI and polygon data in multiple file formats

    Unlock the Power of POI Data With our point-of-interest data, you can: -Perform thorough market analyses -Identify the best locations for new stores -Gain insights into consumer behavior -Achieve an edge with competitive intelligence

    LocationsXYZ has empowered businesses with geospatial insights, helping them scale and make informed decisions. Join our growing list of satisfied customers and unlock your business's potential with our cutting-edge POI data.

  16. France AAHE: Restaurants: France

    • ceicdata.com
    Updated Dec 15, 2017
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    CEICdata.com (2017). France AAHE: Restaurants: France [Dataset]. https://www.ceicdata.com/en/france/average-annual-household-expenditure/aahe-restaurants-france
    Explore at:
    Dataset updated
    Dec 15, 2017
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2011
    Area covered
    France
    Variables measured
    Household Income and Expenditure Survey
    Description

    AAHE: Restaurants: France data was reported at 1,451.000 EUR in 2011. This records an increase from the previous number of 1,320.000 EUR for 2006. AAHE: Restaurants: France data is updated yearly, averaging 1,385.500 EUR from Dec 2006 (Median) to 2011, with 2 observations. The data reached an all-time high of 1,451.000 EUR in 2011 and a record low of 1,320.000 EUR in 2006. AAHE: Restaurants: France data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.H026: Average Annual Household Expenditure.

  17. p

    Cafes in Nevada, United States - 808 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jun 27, 2025
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    Poidata.io (2025). Cafes in Nevada, United States - 808 Verified Listings Database [Dataset]. https://www.poidata.io/report/cafe/united-states/nevada
    Explore at:
    csv, json, excelAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Nevada, United States
    Description

    Comprehensive dataset of 808 Cafes in Nevada, United States as of June, 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.

  18. m

    Restaurant-Cafe Surabaya

    • data.mendeley.com
    Updated Aug 10, 2023
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    Chairul Maulidi (2023). Restaurant-Cafe Surabaya [Dataset]. http://doi.org/10.17632/gdxnvcxhw3.1
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    Dataset updated
    Aug 10, 2023
    Authors
    Chairul Maulidi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Surabaya
    Description

    This data is related to the spatial distribution study of restaurants and cafes in Surabaya City. There are two operational data: 1) spatial data in *shp, shx, prj, cpg, qpj, dbf format, which can be opened using GIS software; and 2) statistical data in *omv format, opened using Jamovi software.

  19. K

    Data from: coffee/cafe

    • data.kingcounty.gov
    • data.wu.ac.at
    application/rdfxml +5
    Updated Jun 29, 2025
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    Public Health - Seattle & King County (2025). coffee/cafe [Dataset]. https://data.kingcounty.gov/Health/coffee-cafe/nsx9-iqbt
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    tsv, application/rdfxml, xml, json, csv, application/rssxmlAvailable download formats
    Dataset updated
    Jun 29, 2025
    Authors
    Public Health - Seattle & King County
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Health Department inspection results for food service establishments in King County, 2006 to the present. This data is organized by Business / Inspection Date / Violation. Each row in this dataset is an inspection, and if an inspection at a particular buiness results in multiple violations there will be multiple rows for that business with the same Inspection_Serial_Num. This dataset was last updated on 03/22/2018 and is current from 1/1/2006 to 03/19/2018.

  20. p

    Cafes in State of Mato Grosso do Sul, Brazil - 349 Verified Listings...

    • poidata.io
    csv, excel, json
    Updated Jul 1, 2025
    + more versions
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    Poidata.io (2025). Cafes in State of Mato Grosso do Sul, Brazil - 349 Verified Listings Database [Dataset]. https://www.poidata.io/report/cafe/brazil/state-of-mato-grosso-do-sul
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    csv, json, excelAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Brazil, State of Mato Grosso do Sul
    Description

    Comprehensive dataset of 349 Cafes in State of Mato Grosso do Sul, Brazil 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.

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Restaurant Database (2025) | List of USA Restaurants [Dataset]. https://leadsdeposit.com/restaurant-database/

Restaurant Database (2025) | List of USA Restaurants

Restaurant dataset

Explore at:
License

https://leadsdeposit.com/restaurant-database/https://leadsdeposit.com/restaurant-database/

Description

Dataset of 700,000 restaurants in the United States complete with detailed contact and geolocation data. The database includes multiple data points such as restaurant name, address, phone number, website, email, opening hours, latitude, longitude, and cuisine.

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