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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
                        )

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                        (
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                            [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
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                            [fr] => États Unis
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [location] => Array
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                    [accuracy_radius] => 20
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                    [longitude] => -83.0061
                    [metro_code] => 535
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                )

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

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            [subdivisions] => Array
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                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
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                    [prefix_len] => 22
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    [continent:protected] => GeoIp2\Record\Continent Object
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            [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
                        )

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            [validAttributes:protected] => Array
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    [country:protected] => GeoIp2\Record\Country Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [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
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            [validAttributes:protected] => Array
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                    [4] => names
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    [locales:protected] => Array
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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            [validAttributes:protected] => Array
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                    [0] => queriesRemaining
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    [registeredCountry:protected] => GeoIp2\Record\Country Object
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            [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
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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    [traits:protected] => GeoIp2\Record\Traits Object
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                    [ip_address] => 216.73.216.188
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
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            [validAttributes:protected] => Array
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                    [15] => mobileCountryCode
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                    [17] => network
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                    [19] => staticIpScore
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    [city:protected] => GeoIp2\Record\City Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
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                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

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            [validAttributes:protected] => Array
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    [location:protected] => GeoIp2\Record\Location Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
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            [validAttributes:protected] => Array
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                    [1] => accuracyRadius
                    [2] => latitude
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                    [4] => metroCode
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                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

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

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

        )

    [subdivisions:protected] => Array
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            [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
                                )

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                    [validAttributes:protected] => Array
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)
 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
)

GoPuff Dairy Product Dataset From USA

Get comprehensive GoPuff Dairy Product Dataset From USA – track prices, availability, and store details to optimize inventory, pricing strategies, and market insights.

  • Product Name
  • Availability Status
  • Store Location
  • Get Started

Gopuff Datasets Explained

GoPuff datasets provide structured information on products, prices, availability, and store locations. These datasets, including the GoPuff Dairy Product Dataset From USA, enable businesses and researchers to analyze market trends, optimize inventory, and track consumer preferences. They support data-driven decisions for operations, pricing strategies, and competitive analysis across regions.

  • Product ID
  • Product Image
  • Product Name
  • Country of Origin
  • Brand
  • Allergens
  • Availability
  • Category
  • Delivery Fee
  • Delivery Options
  • Delivery Time
  • Description
  • Discounts/Offers
  • Expiration Date
  • Ingredients
  • Minimum Order Amount
  • Nutritional Information
  • Order Status
  • Packaging Details
  • Payment Methods
  • Price
  • Promotional Tags
  • Return Policy
  • Reviews
  • SKU (Stock Keeping Unit)
  • Stock Level
  • Store Location
  • Store Name
  • User Ratings
  • Weight/Volume
  • Nutrition
Datasets-Explained
Sr.NocountryLpincodecategoryplatformproduct_urlinput_categorypriceimagecurrencybreadcrumbsproduct_namebrand_namesku_sizedescriptionproduct_serial_numproduct_ingredients_metanutritional_informationalcohol_volume
1USAHouston77002DairyGopuffhttps://www.gopuff.com/p/reese-s-peanut-butter-frozen-dairy-dessert-bar-6-ct/p42565Bars, Cones & Bites7.69https://images.gopuff.com/blob/gopuffcatalogstorageprod/catalog-images-container/resize/cf/version=1_2,format=auto,fit=scale-down,width=800,height=800/f9e7aa05-f0fa-4534-a364-c598f76ccb1e.pngUSDHome - Ice Cream - Bars, Cones & Bites - BarsReese's Peanut Butter Frozen Dairy Dessert Bar 6 ctREESE'S6ctImagine taking a REESE'S Peanut Butter Cup and transforming it into the most scrumptious frozen dessert bar. We've taken this smooth peanut butter frozen dairy dessert and covered it in a delectable chocolate and cake coating for a one-of-a-kind dessert bar that you're sure to love. Fancy your taste buds no matter the occasion with this confection that tastes like a REESE'S Cup topped with chocolate cake.p42565N/AN/AN/A
2USAPhoenix85004DairyGopuffhttps://www.gopuff.com/p/van-leeuwen-double-chocolate-cheesecake-sandwich-5-8oz/p225210SandwichesN/Ahttps://images.gopuff.com/blob/gopuffcatalogstorageprod/catalog-images-container/resize/cf/version=1_2,format=auto,fit=scale-down,width=800,height=800/e76f1a16-5cf1-45a6-b168-f30a8068cc62.jpgUSDHome - Ice Cream - SandwichesVan Leeuwen Double Chocolate Cheesecake Sandwich 5.8ozVan Leeuwen5.8ozIf your sandwich is not a sandwich whose bread is cookies and whose middle is ice cream you have a bad sandwich. And since we've been making good ice cream from good ingredients in NYC since 2008, it only made sense to make a good sandwich. Like this Double Chocolate Cheesecake one. Rich, cheesecake ice cream sandwiched between two double chocolate chip cookies. Because a life without a good sandwich is bad.p225210Cream, Milk, Cane Sugar, Enriched Flour (Wheat Flour, Niacin, Reduced Iron, Thiamine Mononitrate, Riboflavin, Folic Acid), Cream Cheese (Milk, Cream, Salt, Carob Bean Gum, Cheese Culture), Egg Yolks, Sunflower Oil, Coconut Oil, Dark Brown Sugar, Chocolate Liquor, Cocoa Butter, Cocoa Processed with Alkali, Invert Sugar, Salt, Lemon Juice Concentrate, Natural Flavors, Baking Soda, Sunflower Lecithin, Soy Lecithin, Carob Bean Gum, Guar GumContains Milk, Eggs.N/A
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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.
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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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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 GoPuff Dairy Product Dataset From USA is a comprehensive resource providing detailed prices, availability & store data for dairy products across the U.S. It includes information on milk, cheese, yogurt, and more. Businesses can use the GoPuff dairy dataset for USA GoPuff milk and cheese dataset to analyze market trends and optimize inventory strategies efficiently.
GoPuff Dairy Product Datasets allow businesses to track product pricing, availability, and store locations. The GoPuff USA milk and dairy data enables accurate forecasting, better decision-making, and competitive analysis. Using the GoPuff USA dairy store dataset, companies can monitor inventory levels, optimize supply chains, and enhance operational efficiency across multiple locations in the United States.
The GoPuff USA dairy inventory dataset provides comprehensive data on stock levels, availability, and delivery options for dairy products. It complements the GoPuff Dairy Product Dataset From USA by offering insights into store-specific inventory. Users can track real-time product movement, analyze GoPuff USA milk prices dataset, and make data-driven decisions for distribution, pricing, and customer demand management.
The GoPuff USA milk and dairy data helps businesses understand market trends, compare prices, and monitor availability across stores. Using the GoPuff dairy dataset for USA GoPuff milk and cheese dataset, companies can optimize inventory, forecast demand, and improve sales strategies. Combining it with GoPuff USA dairy store dataset ensures effective tracking of product performance and operational efficiency.
Yes, the GoPuff USA milk prices dataset provides detailed pricing information across stores and regions. Integrated with the GoPuff Dairy Product Dataset From USA, it allows businesses to analyze competitive pricing, identify trends, and optimize prices, availability & store data. Using the GoPuff USA dairy inventory dataset, companies can balance supply and demand for more profitable pricing decisions.

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All in One Pipeline

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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.

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Coffee / Beverage / D2C

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“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.”

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“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.”

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Organic Grocery / FMCG

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Improved

competitive benchmarking

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“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

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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

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Quick Commerce

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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

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Beverage / D2C

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Faster

Trend Detection

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“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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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

Our Data Drives Impact - Real Client Stories

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"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

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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"

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