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GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [continent] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [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
                        )

                )

            [country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [location] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [postal] => Array
                (
                    [code] => 43215
                )

            [registered_country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [subdivisions] => Array
                (
                    [0] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [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
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.213
                    [prefix_len] => 22
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [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
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [locales:protected] => Array
        (
            [0] => en
        )

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.213
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [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
                                )

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                )

        )

)

 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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  • Uber Eats Menu And Restaurant Datasets From USA – Prices & Reviews

Uber Eats Menu And Restaurant Datasets From USA - Prices, Locations & Reviews Data

Actowiz Solutions offers the Uber Eats Menu And Restaurant Datasets From USA with the Prices, Locations & Reviews Dataset. This comprehensive Uber Eats USA dataset helps businesses analyze menus, store locations, pricing trends, and customer feedback for strategic growth.

  • Restaurant Name
  • Menu Item
  • Price
  • Customer Rating
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Uber Eats USA Menu & Restaurant Dataset

The Uber Eats USA menu data provides comprehensive insights into restaurants, menu items, prices, and customer ratings. The Uber Eats menu dataset for USA includes detailed information for market research and competitor analysis. With Uber Eats store locations with menu prices in USA, businesses can track pricing patterns using the Uber Eats prices dataset in USA. The Uber Eats food delivery data in USA enables performance monitoring, while the Uber Eats online menu prices in USA offer real-time updates. Additionally, the Uber Eats reviews dataset USA provides customer sentiment analysis. Although focused on the USA, similar datasets are valuable for comparison in Japan, Italy, Germany, Canada, Australia, UK, UAE, China, India, Switzerland, Qatar, Singapore, Ireland, Macao SAR, Luxembourg, Austria, Denmark, and Norway.

Uber Eats Datasets Explained

The Uber Eats USA menu data and related datasets provide insights into menus, prices, locations, and reviews. These resources help businesses analyze trends, monitor competitors, and optimize strategies in the U.S. food delivery market.

  • Restaurant Name
  • Restaurant Type
  • Menu Item
  • Cuisine Type
  • Price
  • Description
  • Ingredients
  • Allergens
  • Calories
  • User Ratings
  • Reviews
  • Delivery Time
  • Delivery Fee
  • Minimum Order Amount
  • Address
  • City
  • Country
  • Opening Hours
  • Closing Hours
  • Discounts/Offers
  • Contact Information
  • Payment Methods
  • Delivery Service Provider
  • Order Status
  • Packaging Details
  • Contact Details
  • Food Menu
  • Menu Image
Food-Datasets-Explained
idrestaurantUrlrestaurantIDrestaurantNameplaceIdImageUrlstoreOpeningHourspriceRangetelephoneratingValueratingCountlatitudelongitudestreetAddressCityStatepostalCodeCountrycuisinemenuDeliveryPickupDineInstatus
1https://www.ubereats.com/store/b-&-m-market/014403f4-acf2-48a6-8f40-e9e9d1a9f0ed014403f4-acf2-48a6-8f40-e9e9d1a9f0edB & M MarketAUQD9KzySKaPQOnp0anw7Qhttps://tb-static.uber.com/prod/image-proc/processed_images/ce9413b7a108936b20252584b54a82ae/fb86662148be855d931b37d6c1e5fcbe.jpeg[{"dayOfWeek": "Monday - Thursday", "opens": "11:30 AM", "closes": "8:00 PM", "sectionTitle": "Menu"}, {"dayOfWeek": "Friday", "opens": "11:30 AM", "closes": "8:00 PM", "sectionTitle": "Menu"}, {"dayOfWeek": "Friday", "opens": "11:30 AM", "closes": "8:00 PM", "sectionTitle": "Menu"}, {"dayOfWeek": "Saturday", "opens": "11:30 AM", "closes": "8:00 PM", "sectionTitle": "Menu"}]$+14124581037--40.4540471-80.05973943038 Chartiers AvePittsburghPA15204USAmerican | Chicken | Sandwich | Wings[{"category": "Food Menu", "menuId": "6a26819c-b078-430e-b8e7-3703de80e2a7", "menuName": "Six Whole Wings and Fresh Cut Fries", "menuDescription": "Six pieces of whole wings served with a side of fresh cut fries.", "price": 13.0, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/c2e555ad7054b9b25b523c8932072681/a19bb09692310dfd41e49a96c424b3a6.jpeg", "review": null, "rating": null, "endorsement": "#1 most liked", "dietList": []}, {"category": "Food Menu", "menuId": "c412b15b-119f-4ecd-9590-75de56b59eac", "menuName": "Chicken Sandwich", "menuDescription": "Tender chicken breast served on a bun.", "price": 8.0, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/722ee9d324ba27d25de8f08de796f0e8/a19bb09692310dfd41e49a96c424b3a6.jpeg", "review": null, "rating": null, "endorsement": "", "dietList": []}, {"category": "Food Menu", "menuId": "95d4474b-7f63-4c51-a87e-d892a4cde031", "menuName": "Six Whole Wings", "menuDescription": "Six pieces of whole wings, perfect for snacking.", "price": 9.0, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/857145a7c51c97c392e5e71a027928b4/a19bb09692310dfd41e49a96c424b3a6.jpeg", "review": null, "rating": null, "endorsement": "#2 most liked", "dietList": []}, {"category": "Food Menu", "menuId": "5412708e-04bc-4fad-a90f-7f512f9d93ef", "menuName": "Four Chicken Tenders", "menuDescription": "Tender and juicy chicken strips, served in a set of four.", "price": 5.5, "menuImage": "https://cn-geo1.uber.com/static/mobile-content/eats/placeholder_images/placeholder_image_restaurants_300x300.png", "review": null, "rating": null, "endorsement": "", "dietList": []}, {"category": "Food Menu", "menuId": "b73b02ed-d2ab-4332-952d-a15c8980291c", "menuName": "Cod fish sandwich & fries", "menuDescription": "Flaky cod served with crispy fries.", "price": 13.0, "menuImage": "https://cn-geo1.uber.com/static/mobile-content/eats/placeholder_images/placeholder_image_restaurants_300x300.png", "review": null, "rating": null, "endorsement": "", "dietList": []}, {"category": "Food Menu", "menuId": "bb7f5c44-864f-411d-8c8b-eef3c2f59321", "menuName": "Four Chicken Tenders and Fires", "menuDescription": "", "price": 9.75, "menuImage": "https://cn-geo1.uber.com/static/mobile-content/eats/placeholder_images/placeholder_image_restaurants_300x300.png", "review": null, "rating": null, "endorsement": "", "dietList": []}, {"category": "Food Menu", "menuId": "ee0b06ae-da7a-4301-8851-4c60c0b058ba", "menuName": "B & M Sandwich", "menuDescription": "Fresh chicken breast on Italian bread lettuce tomato and onion with Mayo or Italian dressing", "price": 9.0, "menuImage": "https://cn-geo1.uber.com/static/mobile-content/eats/placeholder_images/placeholder_image_restaurants_300x300.png", "review": null, "rating": null, "endorsement": "", "dietList": []}, {"category": "Food Menu", "menuId": "f4ba8312-f491-4b90-bc3b-f471fc464cb6", "menuName": "Cod fish sandwich", "menuDescription": "Flaky cod served on a sandwich.", "price": 8.0, "menuImage": "https://cn-geo1.uber.com/static/mobile-content/eats/placeholder_images/placeholder_image_restaurants_300x300.png", "review": null, "rating": null, "endorsement": "", "dietList": []}, {"category": "Food Menu", "menuId": "a189c5a6-429d-4438-9848-fb0f403d24d5", "menuName": "Six Wing Dings and Fresh Cut Fries", "menuDescription": "Crispy six wing dings served with fresh cut fries.", "price": 9.75, "menuImage": "https://cn-geo1.uber.com/static/mobile-content/eats/placeholder_images/placeholder_image_restaurants_300x300.png", "review": null, "rating": null, "endorsement": "", "dietList": []}, {"category": "Food Menu", "menuId": "0f7be6ee-335a-4e43-bfcc-85ff39c92ffd", "menuName": "Woogie's Sandwich", "menuDescription": "Famous corn beef on Italian bread lettuce tomato and onion hot mustard or brown", "price": 9.0, "menuImage": "https://cn-geo1.uber.com/static/mobile-content/eats/placeholder_images/placeholder_image_restaurants_300x300.png", "review": null, "rating": null, "endorsement": "", "dietList": []}, {"category": "Food Menu", "menuId": "04cbce44-9e4f-4088-a5dc-78dfd659ed44", "menuName": "Six Wing Dings", "menuDescription": "", "price": 7.0, "menuImage": "https://cn-geo1.uber.com/static/mobile-content/eats/placeholder_images/placeholder_image_restaurants_300x300.png", "review": null, "rating": null, "endorsement": "", "dietList": []}, {"category": "Food Menu", "menuId": "74a91516-8080-4c6c-a72e-789f516200d2", "menuName": "Breaded Chicken Breast and Fries", "menuDescription": "Tender breaded chicken breast served with crispy fries.", "price": 10.5, "menuImage": "https://cn-geo1.uber.com/static/mobile-content/eats/placeholder_images/placeholder_image_restaurants_300x300.png", "review": null, "rating": null, "endorsement": "", "dietList": []}, {"category": "Food Menu", "menuId": "54535de8-cfe2-4018-92ce-488dd9f6e29b", "menuName": "Westsider sandwich", "menuDescription": "Fresh Turkey on Italian bread, lettuce tomato and onion", "price": 9.0, "menuImage": "https://cn-geo1.uber.com/static/mobile-content/eats/placeholder_images/placeholder_image_restaurants_300x300.png", "review": null, "rating": null, "endorsement": "", "dietList": []}, {"category": "Side Items", "menuId": "03fef79f-4565-4c00-9d66-5e1ce253d3b6", "menuName": "Five Cheese Sticks", "menuDescription": "Crunchy sticks filled with a blend of five cheeses.", "price": 6.0, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/4803c8885d049d5d3919023b2e136047/a19bb09692310dfd41e49a96c424b3a6.jpeg", "review": null, "rating": null, "endorsement": "#3 most liked", "dietList": []}, {"category": "Side Items", "menuId": "a6b52a22-dfb3-40d8-a503-b2d13b478278", "menuName": "Cup of Cheese", "menuDescription": "Each.", "price": 1.0, "menuImage": "https://cn-geo1.uber.com/static/mobile-content/eats/placeholder_images/placeholder_image_restaurants_300x300.png", "review": "5", "rating": "80", "endorsement": "", "dietList": []}, {"category": "Side Items", "menuId": "b05317df-4bfb-4b05-af23-2636f50cd996", "menuName": "Onion Rings", "menuDescription": "Beer battered", "price": 6.0, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/cfbe8102385d4cc8c70a0276f449f7f2/a19bb09692310dfd41e49a96c424b3a6.jpeg", "review": null, "rating": null, "endorsement": "", "dietList": []}, {"category": "Side Items", "menuId": "620fc7dd-395b-47ad-b5f9-d7791cd51e4f", "menuName": "Fresh Cut Fries", "menuDescription": "Thinly sliced potatoes, cooked to a crispy perfection.", "price": 6.0, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/393b86fadb9b9593d739bef38dc0b277/a19bb09692310dfd41e49a96c424b3a6.jpeg", "review": null, "rating": null, "endorsement": "", "dietList": []}]110done
2https://www.ubereats.com/store/mrbeast-burger-3-station-square/f99284df-0435-451c-849f-62005ba73a2ff99284df-0435-451c-849f-62005ba73a2fMrBeast Burger (3 Station Square)-ZKE3wQ1RRyEn2IAW6c6Lwhttps://tb-static.uber.com/prod/image-proc/processed_images/94223e2bd95a62ea108501f0857566f8/c9252e6c6cd289c588c3381bc77b1dfc.jpeg[{"dayOfWeek": "Sunday - Wednesday", "opens": "11:00 AM", "closes": "9:30 PM"}, {"dayOfWeek": "Thursday", "opens": "11:00 AM", "closes": "10:00 PM"}, {"dayOfWeek": "Friday - Saturday", "opens": "11:00 AM", "closes": "11:00 PM"}]$$+18772327898--40.43349-80.00445333 Station SquarePittsburghPA15219USAmerican | Burgers | Sandwich[{"category": "Combos", "menuId": "1d0e8269-e462-5d38-afa6-2e7c4ff3a0e2", "menuName": "Beast Style Burger Combo", "menuDescription": "Smashed crispy beef patties with house seasoning, American cheese, pickles, diced onion, mayo, ketchup, and brown mustard on a toasted bun served with your choice of fries and a drink.", "price": 0.0, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/2ddeba9d9b0d925d6a095a72ca4bc7fc/5954bcb006b10dbfd0bc160f6370faf3.jpeg", "review": "56", "rating": "76", "endorsement": "", "dietList": []}, {"category": "Combos", "menuId": "5c8c8ca6-123a-57f3-b216-dd8fc1e2b096", "menuName": "Chicken Sandwich Combo", "menuDescription": "A Crispy Chicken Tender Sandwich or Nashville Hot Chicken Tender Sandwich with your choice of Crinkle Fries or Beast Style fries and a drink.", "price": 0.0, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/8523c7d26ea3d28b87130a4de0b05bbc/5954bcb006b10dbfd0bc160f6370faf3.jpeg", "review": null, "rating": null, "endorsement": "", "dietList": []}, {"category": "Burgers", "menuId": "06b47775-facf-559b-afe0-4832aa900c68", "menuName": "Chandler Style", "menuDescription": "Two smashed crispy beef patties with house seasoning, served plain with American cheese on a toasted bun.", "price": 9.0, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/b6641d71bf808e969bf19225fda8bc99/5954bcb006b10dbfd0bc160f6370faf3.jpeg", "review": null, "rating": null, "endorsement": "#1 most liked", "dietList": []}, {"category": "Burgers", "menuId": "70c10606-6689-5791-8ea1-fb2959bddb4d", "menuName": "Beast Style", "menuDescription": "Smashed crispy beef patties with house seasoning, American cheese, pickles, diced onion, mayo, ketchup, and brown mustard on a toasted bun.", "price": 9.0, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/5f9b54e7a908a03f686a2279f11d1623/5954bcb006b10dbfd0bc160f6370faf3.jpeg", "review": "50", "rating": "86", "endorsement": "", "dietList": []}, {"category": "Burgers", "menuId": "469ad54b-f641-5de2-9612-0dec303d97d2", "menuName": "Chris Style", "menuDescription": "Two smashed crispy beef patties with house seasoning, American cheese, bacon, topped with crinkle fries on a toasted bun.", "price": 10.1, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/804ab4f9f1d2227775cd358f8e864aa3/5954bcb006b10dbfd0bc160f6370faf3.jpeg", "review": "12", "rating": "91", "endorsement": "", "dietList": []}, {"category": "Burgers", "menuId": "6dd30515-28ab-57e6-9e60-31aec42ea197", "menuName": "Karl's Deluxe", "menuDescription": "A patty melt served Karls Style with a crispy seasoned beef patty, caramelized onions and cheese on a toasted inverted bun.", "price": 7.95, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/e48c7ebcf911a76879606dcf1d7d8ea4/5954bcb006b10dbfd0bc160f6370faf3.jpeg", "review": null, "rating": null, "endorsement": "#2 most liked", "dietList": []}, {"category": "Sandwiches", "menuId": "fd47b1e9-b9dc-5e4c-b79b-7aaa06054a5b", "menuName": "Karls Grilled Cheese", "menuDescription": "3 slices of American cheese griddled crisp on an inverted bun", "price": 5.65, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/a1a64d7210a23526bdb1593e98ae01da/5954bcb006b10dbfd0bc160f6370faf3.jpeg", "review": "6", "rating": "83", "endorsement": "", "dietList": []}, {"category": "Sandwiches", "menuId": "39fc99a4-68ab-5039-8d83-49dd99a6b7d7", "menuName": "Crispy Chicken Tender Sandwich", "menuDescription": "with mayo, shredded lettuce and pickles on a toasted bun.", "price": 9.0, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/7bafdad041df8c3301d72febdd80d448/5954bcb006b10dbfd0bc160f6370faf3.jpeg", "review": "11", "rating": "100", "endorsement": "", "dietList": []}, {"category": "Sandwiches", "menuId": "d779431a-29bb-5aa3-b9a0-9dbfd248afd7", "menuName": "Nashville Hot Chicken Tender Sandwich", "menuDescription": "with mayo, ketchup, shredded lettuce and pickles on a toasted bun.", "price": 9.0, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/6cf38e091da6a17b7475b3f138f08962/5954bcb006b10dbfd0bc160f6370faf3.jpeg", "review": "14", "rating": "64", "endorsement": "", "dietList": []}, {"category": "Sides", "menuId": "101543ed-2312-59f4-915e-736a562f8576", "menuName": "Beast Style Fries", "menuDescription": "Seasoned crinkle fries loaded with caramelized onions, American cheese, pickles, mayo, ketchup and mustard.", "price": 6.15, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/90ecae9c69cb0053def76e78abfa0655/5954bcb006b10dbfd0bc160f6370faf3.jpeg", "review": "23", "rating": "73", "endorsement": "", "dietList": []}, {"category": "Sides", "menuId": "81a44468-60ce-587d-94a8-e807ac0ae53b", "menuName": "Signature Crinkle Fries", "menuDescription": "Crinkle fries seasoned with spicy red pepper, garlic, paprika, sugar, and a hint of lime.", "price": 4.25, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/6db512ee9c2957f7ea7148bd8fe7611f/5954bcb006b10dbfd0bc160f6370faf3.jpeg", "review": null, "rating": null, "endorsement": "#3 most liked", "dietList": []}, {"category": "Sides", "menuId": "3956f12d-2ac7-535a-b728-764fb67b766e", "menuName": "Crinkle Fries", "menuDescription": "Crinkle fries lightly seasoned with salt.", "price": 4.25, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/e7e556b575937309917d01c33f8557fa/5954bcb006b10dbfd0bc160f6370faf3.jpeg", "review": null, "rating": null, "endorsement": "", "dietList": []}, {"category": "Dessert", "menuId": "3a35f133-2b69-5ab0-88ae-e217740ff703", "menuName": "Chocolate Chip Cookie", "menuDescription": "Freshly baked chocolate chip cookie", "price": 2.65, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/755a08c1ce554a81f5e63bcd00687205/5954bcb006b10dbfd0bc160f6370faf3.jpeg", "review": "17", "rating": "64", "endorsement": "", "dietList": []}, {"category": "Canned Beverages", "menuId": "eba3ddd4-70a7-5665-b2b0-5276b0d31504", "menuName": "Canned Starry", "menuDescription": "", "price": 2.15, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/2ad9d6bb0d4aece690012b65d1bf7f05/5954bcb006b10dbfd0bc160f6370faf3.jpeg", "review": null, "rating": null, "endorsement": "", "dietList": []}, {"category": "Canned Beverages", "menuId": "1ddfe9fa-f94d-57f5-aa01-2196e65513d1", "menuName": "Canned Pepsi", "menuDescription": "", "price": 2.15, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/b668f5efb2510cacbb51aee610ca7aa6/5954bcb006b10dbfd0bc160f6370faf3.jpeg", "review": "10", "rating": "80", "endorsement": "", "dietList": []}, {"category": "Canned Beverages", "menuId": "54b41f2c-a651-5cc1-913a-6203958348c4", "menuName": "Canned Diet Pepsi", "menuDescription": "", "price": 2.15, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/b99154cc0c0c2207969395d108c0e4a5/5954bcb006b10dbfd0bc160f6370faf3.jpeg", "review": "3", "rating": "66", "endorsement": "", "dietList": []}, {"category": "Canned Beverages", "menuId": "3ca1eb8f-63d4-5b30-a1dd-b2ac78b06f09", "menuName": "Aquafina Bottled Water", "menuDescription": "", "price": 2.15, "menuImage": "https://tb-static.uber.com/prod/image-proc/processed_images/6bc389a135b75693463e196d6640420b/5954bcb006b10dbfd0bc160f6370faf3.jpeg", "review": null, "rating": null, "endorsement": "", "dietList": []}, {"category": "Please select single use items you'd like added to your order", "menuId": "ba63c5eb-3b49-5308-bca5-d9d7c03219bb", "menuName": "Utensils", "menuDescription": "", "price": 0.0, "menuImage": "https://cn-geo1.uber.com/static/mobile-content/eats/placeholder_images/placeholder_image_restaurants_300x300.png", "review": null, "rating": null, "endorsement": "", "dietList": []}, {"category": "Please select single use items you'd like added to your order", "menuId": "eb6441fd-e504-5392-929a-9db52c47f705", "menuName": "Napkins", "menuDescription": "", "price": 0.0, "menuImage": "https://cn-geo1.uber.com/static/mobile-content/eats/placeholder_images/placeholder_image_restaurants_300x300.png", "review": "3", "rating": "100", "endorsement": "", "dietList": []}]110done
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Flexible Data Delivery

Tailored to your Instacart product price scraping needs, we provide flexibility in selecting output formats, storage options, and delivery schedules:

  • Access food datasets in JSON, CSV, and other preferred formats;
  • Retrieve data through SFTP or integrate directly with cloud storage solutions like Google Cloud Storage, AWS S3, and more;
  • Choose one-time, monthly, quarterly, or bi-annually extract food datasets frequencies to suit your requirements.
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Save time; our team expertly extracts data for analysis, aligning with strategic business goals cost-effectively.

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Tailored Data Solutions for Your Enterprise

Receive tailored industry datasets; our flexible methods align with unique business needs for optimal decisions.

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Commitment to Ethical Data Practices

Actowiz leads Ethical Web Data Collection, upholding GDPR and CCPA, setting standards for responsible data practices./p>

Pricing Overview

Standard-Pricing

Standard Pricing

  • Standardized Data Offerings with readily accessible datasets.
  • Consistent Data Framework that ensures clarity and consistency.
  • Top-tier Data Integrity from the most intricate data channels.

Flexible Delivery Options:

  • Monthly Updates
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  • One-off Purchases
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Custom Pricing

  • Tailored Data Retrieval precisely aligned with your business needs.
  • Adaptable Data Framework crafted to fit your unique needs.
  • Scalable & Dynamic Offerings to ensure flexibility and scalability.
  • Streamlined Communication ensures smooth and instant communication.

Varied Delivery Options:

  • Daily Updates
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  • Customized Frequencies to Suit You
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Why Choose Actowiz Solutions’ Datasets?

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Assessing Your Data Requirements:

Our first step is to delve into your company's specifics and business goals, ensuring we align perfectly with your data aspirations.

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Crafting Tailored Data Solutions

Leveraging our robust in-house web scraping tools, we design a bespoke strategy tailored to your data extraction needs.

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Sample Data Preview

Experience firsthand with a sample of our company data. Gauge its quality and familiarize yourself with our seamless data delivery mechanism.

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Steadfast Data Streamlining

Once aligned, we initiate regular data dispatches based on the frequency and specifications we've mutually agreed upon.

Frequently Asked Questions

The Uber Eats Menu And Restaurant Datasets From USA provides a detailed Prices, Locations & Reviews Dataset containing restaurant menus, prices, locations, and ratings. This comprehensive Uber Eats USA dataset is ideal for market research, competitor analysis, and identifying food delivery trends across the U.S., helping businesses make informed, data-driven decisions.
The Uber Eats USA menu data offers valuable insights into menu items, pricing, and availability. The Uber Eats menu dataset for USA enables tracking of market trends, competitive pricing, and consumer preferences, helping businesses in the food delivery sector optimize operations, menu offerings, and promotional strategies for better customer engagement.
The Uber Eats store locations with menu prices in USA dataset combines geographic and pricing data. With the Uber Eats prices dataset in USA, businesses can monitor local price variations, assess market saturation, and identify new opportunities for restaurant expansion or delivery coverage in targeted regions.
The Uber Eats food delivery data in USA provides information on delivery times, fees, and availability. The Uber Eats online menu prices in USA feature allows companies to track pricing fluctuations in real time, helping them improve pricing strategies, delivery efficiency, and customer satisfaction while staying ahead of competitors.
The Uber Eats reviews dataset USA contains customer feedback, ratings, and sentiment analysis. Businesses using the Uber Eats USA dataset can identify service gaps, improve menu offerings, and refine customer experience strategies, ensuring better satisfaction rates and higher retention in the competitive online food delivery marketplace.

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape → Structure → Analyze → Visualize
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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.

Ecommerce
Q-Commerce
Travel & OTA
Food Delivery
Real Estate
Social Media
Trusted by Global Leaders – Secured by International Standards

Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

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Real results from real businesses using Actowiz Solutions

★★★★★
'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"
Thomas Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
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2 min
★★★★★
“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
Thomas Gallao
Iulen Ibanez
CEO / Datacy.es
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1 min
★★★★★
“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
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1 min

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

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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

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

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Amazon India vs Flipkart vs Snapdeal Product Data Mapping – Comparing Prices, Seller Networks, and SKU Match Rates

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How Web Scraping Grab Taxi Data Helps Brands Decode Real-Time Ride Prices, Routes & Demand Trends?

Learn how web scraping Grab Taxi data reveals real-time ride prices, popular routes, and demand trends to help brands make smarter mobility decisions.

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How We Helped a Brand Scrape Woolworths Australia Data to Improve Pricing and Inventory Decisions

Discover how we helped a brand scrape Woolworths Australia to improve pricing accuracy, track inventory in real time, and make smarter retail decisions.

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Enhance deep learning performance with large-scale image scraping. Build diverse, high-quality training datasets to improve AI accuracy, object detection, and model generalization.

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Dark Store Location Optimization - Data-Driven Strategy Explained

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Scraping Top-Selling GrabMart Products - Top Categories & SKUs Across Singapore, Malaysia & Thailand

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