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Reliance Retail Item, Price & Review Datasets for Real-Time Market Analysis

Reliance Retail powers the online grocery ecosystem for leading supermarkets, connecting thousands of retailers and millions of products across North America. With Actowiz Solutions’ Reliance Retail Item, Price & Review Datasets, you can access real-time and historical grocery pricing, delivery, and product availability data to track market movements, monitor competitors, and forecast consumer demand.

Our datasets provide reliable Reliance Retail data covering top U.S. and Canadian retailers, delivery zones, price fluctuations, delivery charges, and promotions — all cleaned, structured, and ready to use in CSV, JSON, Excel, or API formats.

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Why Choose Reliance Retail Datasets from Actowiz Solutions?

Discovery & Setup

Complete Product Coverage

Item names, categories, brands, store details, and SKU-level metadata.

Discovery & Setup

Dynamic Pricing Data

Base price, discount, delivery fee, taxes, and total basket value.

Discovery & Setup

Real-Time & Historical Feeds

Track hourly or daily grocery data updates.

Discovery & Setup

Geo-Specific Insights

Access location-wise delivery and price variations across U.S. states & cities.

Discovery & Setup

Flexible Formats

CSV, Excel, JSON, or Reliance Retail Scraping API for automation.

Discovery & Setup

Fully Customizable

Choose categories, timeframes, and retailers as per your project.

Reliance Retail Product, Pricing & Delivery Dataset

Comprehensive Data for Grocery & Quick Commerce Intelligence

Use Reliance Retail Product, Pricing & Delivery Datasets to analyze grocery prices, delivery fees, promotions, and product availability across partnered retailers. Whether you’re benchmarking competitors, tracking delivery speed, or studying consumer pricing trends, this dataset provides structured, real-time Reliance Retail data that empowers you to make faster business decisions.

This dataset enables retailers, FMCG brands, analysts, and data scientists to extract actionable insights — from delivery speed and regional pricing differences to store-level product availability and promotional patterns — driving operational efficiency and market advantage.

Harness this data to:

  • Compare store-level pricing and promotions across major U.S. retailers.
  • Analyze delivery time and fee variations by location and demand cycles.
  • Identify high-demand grocery categories and seasonal buying patterns.
  • Build AI/ML models for demand forecasting, trend prediction, and price optimization.

Our Reliance Retail datasets are continuously refreshed and validated, allowing you to track competitors, scrape grocery delivery data, and optimize fulfillment operations using accurate, real-time information.

Sample Reliance Retail Dataset Preview

product_idtitlebrandcategorysub_categoryquantitypackagingdescriptionstore_idstore_nameregioncoverage_areafulfillment_typestore_ratingbase_pricediscount_pricedelivery_feetaxes_pctpromotionfinal_priceprice_updated_at
RRG001Aashirvaad Select AttaAashirvaadGroceryFlour & Atta5 kgBagPremium whole wheat flourRR_001Reliance SmartMumbaiMumbai CityHome Delivery4.6? 345? 320? 305New User Offer? 36615-02-2025
RRG002Fortune Sunlite Refined OilFortuneGroceryEdible Oil1 LBottleLight refined sunflower oilRR_002Reliance SmartPunePune CityHome Delivery4.5? 165? 150? 305Oil Discount? 18815-02-2025
RRG003Tata Sampann Toor DalTata SampannGroceryPulses1 kgPouchUnpolished premium toor dalRR_003Reliance FreshBangaloreBangalore UrbanExpress Delivery4.7? 210? 195? 255Pulse Fest? 23015-02-2025

Reliance Retail Dataset Categories

Core Fields

Reliance Retail Product Listings Dataset

Detailed grocery catalog data including product title, category, brand, quantity, packaging, and description.

Reliance Retail Pricing Dataset

Track product pricing, delivery fees, discounts, taxes, and promotions across stores.

Reliance Retail Delivery & Orders Dataset

Includes delivery speed, time slots, distance-based fee variations, and estimated arrival times.

Store & Retailer Dataset

Retailer details such as store name, region, coverage area, and fulfillment type.

Reliance Retail Customer Reviews Dataset

Comprehensive data on product and store reviews with rating distributions, review text, and sentiment insights.

Reliance Retail Inventory & Stock Dataset

Real-time visibility into product availability, stock levels, and delivery readiness by location.

Quality and normalization

Geo & Retailer Coverage

Our Reliance Retail datasets span 50+ major retailers and 1,000+ U.S. & Canadian cities, including:

Retailers: Walmart, Costco, Target, Kroger, Safeway, Publix, Whole Foods, CVS, Walgreens, Sam’s Club, Albertsons.

Regions: New York, California, Texas, Florida, Illinois, Washington, Ontario, British Columbia, and more.

Each dataset includes real-time data per region and retailer, enabling users to conduct Reliance Retail Grocery Data Extraction and regional-level market analysis for faster decision-making.

Geo Coverage 01

Use Cases of Reliance Retail Datasets

Scalable InfrastructureFor Grocery Retailers

Monitor competitor pricing and promotions.

Optimize delivery costs and basket value strategies.

Scalable InfrastructureFor FMCG & CPG Brands

Benchmark brand visibility, pricing, and discount frequency.

Track retail compliance and product performance.

Scalable InfrastructureFor Data Analysts & Researchers

Analyze city-wise grocery trends and price elasticity.

Study seasonal demand and substitution patterns.

Scalable InfrastructureFor AI/ML Teams

Build predictive models for dynamic pricing, inventory optimization, and delivery forecasting.

Benefits of Using Reliance Retail Datasets

Access real-time & historical Reliance Retail datasets with verified accuracy.

Automate grocery monitoring via Reliance Retail Scraping API.

Enhance pricing intelligence and delivery operations.

Scalable data — extend coverage by product type, region, or timeline.

Pricing & Subscription Models

We offer flexible plans to fit every business need:

One-Time Dataset Purchase

Best for research projects.

File formats

CSV, JSON, Parquet.

Monthly Subscription

Regularly updated datasets delivered automatically.

Enterprise License

Access all Reliance Retail regions with unlimited API calls.

Frequently Asked Questions

The Reliance Retail Item, Price & Review Datasets include detailed grocery product listings, prices, discounts, delivery fees, customer reviews, and stock availability from multiple U.S. and Canadian retailers integrated with Reliance Retail .
You can choose from daily, weekly, or real-time updates. Our real-time & historical Reliance Retail datasets are refreshed continuously for accuracy and consistency.
Yes. We offer customizable Reliance Retail datasets that can focus on particular retailers, categories, or cities. You can request data from any U.S. or Canadian market.
All Reliance Retail datasets are available in CSV, Excel, JSON, and through Reliance Retail Scraping API. Choose your preferred format for easy integration with BI tools and data warehouses.
Yes. You can access up to 3+ years of historical grocery and delivery data — ideal for long-term trend and demand analysis.
The Reliance Retail Pricing Dataset focuses on base prices, discounts, and promotions, while the Reliance Retail Delivery & Orders Dataset includes delivery speeds, charges, and fulfillment details such as time windows and delivery areas.
Absolutely. Our Reliance Retail Scraping API allows you to automate grocery data extraction in real-time, including product prices, delivery options, and stock updates from multiple stores.
Our coverage includes Walmart, Costco, Target, Kroger, Safeway, Publix, Whole Foods, CVS, Walgreens, Sam’s Club, and Albertsons, among many others available on the Reliance Retail platform.
These datasets enable market comparison, pricing optimization, inventory planning, and trend forecasting. Businesses use them to monitor competitors, adjust delivery strategies, and improve ROI.
You can contact us directly via the “Request Custom Dataset” form. Just specify your retailers, cities, or data parameters, and our team will deliver a tailored Reliance Retail dataset within your required timeframe.
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            [traits] => Array
                (
                    [ip_address] => 216.73.216.153
                    [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] => 216.73.216.153
                    [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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