• Datasets NEW
  Food Delivery Datasets
  Get comprehensive insights into food delivery datasets obtained from various food delivery websites for trends, consumer behavior, and performance analysis.
  • 
    Zomato Dataset
  • 
    GrubHub Dataset
  • 
    Uber Eats Dataset
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    Swiggy Dataset
  • 
    Doordash Dataset
  • 
    Foodpanda Dataset
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  Grocery / Supermarkets Store Datasets
  Gain valuable insights from grocery or supermarket store datasets to analyze stock levels, customer purchasing patterns, and sales trends.
  • 
    Blinkit Dataset
  • 
    Zepto Dataset
  • 
    Swiggy Instamart Dataset
  • 
    Instacart Dataset
  • 
    ASDA Dataset
  • 
    Aldi Dataset
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  Liquor / Alcohol Datasets
  Leverage liquor datasets to analyze market trends, optimize pricing, improve sales strategies, and enhance inventory management for better business decisions.
  • 
    Dan Murphy's Dataset
  • 
    Total wine Dataset
  • 
    Vivino Dataset
  • 
    Wine.com Dataset
  • 
    Wine Sercher Dataset
  • 
    Liquor.com Dataset
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  Q-Commerce Datasets
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  Explore Q-commerce datasets to analyze rapid delivery trends, customer behavior, and operational efficiency in quick-commerce platforms.
• Services
  Web Data
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    Food Data Scraping
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    Restaurant Menu Data Scraping
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    Cuisine & Restaurant Trends Analysis
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    Food Aggregator
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    Food Scraping API
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    Food Menu Add-On Items
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    Region-wise Restaurant
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    Promotions And Offers
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    Reviews And Rating
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    Food Delivery Intelligence Services
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    Restaurant Data Intelligence Services
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    Grocery Data Intelligence
  Grocery Data Scraping
  • 
    Grocery App Data Scraping
  • 
    Product Pricing Data
  • 
    Supermarket Inventory Tracking
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    Grocery Trends & Analysis
  • 
    Nutritional Information Scraping
  Alcohol Data Scraping
  • 
    Liquor Price Data Scraping
  • 
    Alcohol Availability by Region
  • 
    Alcohol Brand & Sales Trend Analysis
  • 
    Online Liquor Store Scraping
  Mobile App Scraping Services
  • 
    Food Mobile App Scraping
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    Grocery Mobile App Scraping
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    Liquor Mobile App Scraping
  Dynamic Data Visualization Dashboard Center
  Our intuitive dashboard enables easy data exploration and analysis, offering real-time insights and visualizations to track performance and trends.
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  All-in-One Dataset Hub
  Discover our All-in-One Dataset Hub, featuring diverse food and grocery datasets, including nutritional details and pricing to support informed decisions.
  Go To Dataset
• Dashboard

  Food Dashboard

  Visualize food delivery trends, customer preferences, and order performance metrics.

  Go To Dashboard

  Quick Commerce Dashboards

  Leverage our Quick Commerce Dashboard for real-time insights and performance tracking.

  Go To Dashboard

  Grocery Price Dashboard

  Monitor and analyze price fluctuations across grocery items and categories.

  Go To Dashboard

  Liquor dashboard

  Analyze liquor sales, manage stock, and optimize operations and marketing strategies.

  Go To Dashboard

  Grocery, Food, & Liquor Price Tracking

  Track real-time grocery, food, and liquor prices; compare across stores.

  Go To Dashboard
• Solutions
  E-Commerce Insights
  • 
    Competitor Price Monitoring
  • 
    Stock Availability Tracking
  • 
    Seasonal Price Analysis
  • 
    CPGs
  • 
    Distributors
  • 
    Flavor Companies
  Product Monitoring
  • 
    Grocery Item Tracking
  • 
    Alcohol Brand Comparisons
  • 
    Food Delivery Data Service
  Market Analysis
  • 
    Consumer Behavior Trends
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    Regional Pricing Differences
  • 
    Sales & Demand Forecasting
  • 
    Restaurant Chains
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    Ingredient Providers
  • 
    Software
  • 
    Product Innovation
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    Foodservice Prospecting
  • 
    Supermarket Chains
  • 
    Sales Enablement
  • 
    Claims & Packaging
  • 
    Retention & Growth
  Food Data Intelligence
  Leverage data-driven insights into food delivery performance, consumer behavior, and market trends.
  
  Grocery Data Intelligence
  Extract actionable insights from grocery sales data to optimize inventory, pricing, and operations.
  
  Restaurant Data Intelligence
  Analyze restaurant performance, customer preferences, and menu optimization with data-driven insights.
  
  Liquor Data Intelligence
  Gain a competitive edge with liquor data intelligence by uncovering key trends and consumer preferences.
  
  Q-Commerce Data Intelligence
  Leverage quick commerce data intelligence to enhance delivery speed, manage inventory, and boost customer experience.
  
  Hyperlocal Data Intelligence
  Unlock real-time Hyperlocal Data Intelligence to analyze neighborhood trends, consumer behavior, and pricing insights for smarter business decisions.
  
• Scrapers & APIs
  Food Data APIs for Web Scraping
  Access comprehensive food information through APIs effortlessly.
  • 
    Zomato API
  • 
    Grubhub API
  • 
    Uber Eats API
  • 
    Postmates API
  • 
    Swiggy API
  • View More APIs
  Grocery Data APIs for Web Scraping
  Retrieve grocery store data using efficient APIs.
  • 
    Big Basket API
  • 
    Shipt API
  • 
    Instacart API
  • 
    Fresh Direct API
  • 
    Amazon Fresh API
  • View More APIs
  Liquor Data APIs for Web Scraping
  Extract detailed liquor product information via APIs.
  • 
    Totalwine API
  • 
    Drizly API
  • 
    Vivino API
  • 
    Saucey API
  • 
    Minibar Delivery API
  • View More APIs
  
  API's
  View More
  Our scraping APIs ensure easy access to food, grocery, and liquor data, simplifying information collection to boost your competitive advantage.
• Resources
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  • 
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  • 
    How to Scrape Restaurant Menu Data
  • 
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  • 
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Keep yourself informed about the latest food, restaurant, and grocery trends by accessing the most recent news, opinions, and information.

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GeoIp2\Model\City Object
(
    [continent] => GeoIp2\Record\Continent Object
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            [name] => North America
            [names] => Array
                (
                    [de] => Nordamerika
                    [en] => North America
                    [es] => Norteamérica
                    [fr] => Amérique du Nord
                    [ja] => 北アメリカ
                    [pt-BR] => América do Norte
                    [ru] => Северная Америка
                    [zh-CN] => 北美洲
                )

            [code] => NA
            [geonameId] => 6255149
        )

    [country] => GeoIp2\Record\Country Object
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            [name] => United States
            [names] => Array
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                    [de] => USA
                    [en] => United States
                    [es] => Estados Unidos
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                    [ja] => アメリカ
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                    [ru] => США
                    [zh-CN] => 美国
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            [confidence] => 
            [geonameId] => 6252001
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    [maxmind] => GeoIp2\Record\MaxMind Object
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    [registeredCountry] => GeoIp2\Record\Country Object
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                    [de] => USA
                    [en] => United States
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                    [pt-BR] => EUA
                    [ru] => США
                    [zh-CN] => 美国
                )

            [confidence] => 
            [geonameId] => 6252001
            [isInEuropeanUnion] => 
            [isoCode] => US
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    [representedCountry] => GeoIp2\Record\RepresentedCountry Object
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                (
                )

            [confidence] => 
            [geonameId] => 
            [isInEuropeanUnion] => 
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        )

    [traits] => GeoIp2\Record\Traits Object
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            [autonomousSystemNumber] => 
            [autonomousSystemOrganization] => 
            [connectionType] => 
            [domain] => 
            [ipAddress] => 216.73.216.170
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            [mobileNetworkCode] => 
            [network] => 216.73.216.0/22
            [organization] => 
            [staticIpScore] => 
            [userCount] => 
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    [city] => GeoIp2\Record\City Object
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            [name] => Columbus
            [names] => Array
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                    [de] => Columbus
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                    [fr] => Columbus
                    [ja] => コロンバス
                    [pt-BR] => Columbus
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            [confidence] => 
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    [location] => GeoIp2\Record\Location Object
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            [averageIncome] => 
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            [latitude] => 39.9625
            [longitude] => -83.0061
            [metroCode] => 535
            [populationDensity] => 
            [timeZone] => America/New_York
        )

    [mostSpecificSubdivision] => GeoIp2\Record\Subdivision Object
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            [name] => Ohio
            [names] => Array
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                    [de] => Ohio
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                    [fr] => Ohio
                    [ja] => オハイオ州
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            [confidence] => 
            [geonameId] => 5165418
            [isoCode] => OH
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    [postal] => GeoIp2\Record\Postal Object
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            [code] => 43215
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    [subdivisions] => Array
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            [0] => GeoIp2\Record\Subdivision Object
                (
                    [name] => Ohio
                    [names] => Array
                        (
                            [de] => Ohio
                            [en] => Ohio
                            [es] => Ohio
                            [fr] => Ohio
                            [ja] => オハイオ州
                            [pt-BR] => Ohio
                            [ru] => Огайо
                            [zh-CN] => 俄亥俄州
                        )

                    [confidence] => 
                    [geonameId] => 5165418
                    [isoCode] => OH
                )

        )

)

 country : United States

 city : Columbus

US

Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

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