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Actowiz Metrics Now Live!
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Actowiz Metrics Now Live!
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Actowiz Metrics Now Live!
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Actowiz Metrics Now Live!
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GeoIp2\Model\City Object
(
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                    [names] => Array
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                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
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                            [ru] => США
                            [zh-CN] => 美国
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                                    [fr] => Ohio
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                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
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            [traits] => Array
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        )

    [continent:protected] => GeoIp2\Record\Continent Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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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
                (
                    [0] => queriesRemaining
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [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
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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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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            [validAttributes:protected] => Array
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                    [2] => isInEuropeanUnion
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                    [4] => names
                    [5] => type
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        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.157
                    [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
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                    [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
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            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
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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
                                )

                        )

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

                    [validAttributes:protected] => Array
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                            [0] => confidence
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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
)
Weekly E-commerce Price Comparison in Amazon India - Trends & Insights-01

Introduction

The U.S. retail market moves faster than any consumer can keep up with. Prices update multiple times per day, discount windows open and close unpredictably, and major retailers like Walmart, Target, and Costco constantly adjust their positioning to stay competitive. December, driven by holiday shopping, bulk purchases, and seasonal restocking, experiences the highest pricing volatility of the year.

This in-depth price tracking report by Actowiz Solutions analyzes real-time data collected throughout December 2025. Using our enterprise-grade retail scraping system, we monitored:

  • Daily & hourly price movements
  • Pack-size price variations
  • SKU-level discount patterns
  • Stock-out rates
  • Competitor gaps across Walmart, Target & Costco
  • Seasonal promotions and coupon impact
  • Cross-category insights: grocery, electronics, household essentials, baby products, and more

This comprehensive 3,000-word blog offers a macro view of how big-box retailers adjusted pricing strategies in December — and what brands can learn from it.

Why December Pricing Matters More Than Any Other Month

December is the most active pricing month in the U.S. retail calendar. Three major forces shape this trend:

Holiday Demand Surge

Consumers buy groceries, electronics, holiday gifts, and seasonal essentials in large volumes.

Inventory Liquidation Before Q1

Retailers clear older stock to reset pricing and introduce 2026 inventory.

Competitor Pressure

Walmart, Target, and Costco track one another closely and react quickly to price drops.

For brands, 3P sellers, D2C companies, and distributors, understanding December's price landscape is critical for:

  • Perfecting MAP policies
  • Preventing price erosion
  • Identifying new revenue opportunities
  • Detecting competitor strategies
  • Planning 2026 pricing and inventory

Actowiz Solutions captures this intelligence in real time so businesses can react instantly.

Methodology: How Actowiz Solutions Tracks Retail Pricing

Weekly E-commerce Price Comparison in Amazon India - Trends & Insights-01

We used a high-frequency retail scraping pipeline that collected SKU-level data across:

  • Walmart.com
  • Target.com
  • Costco.com (both member & non-member pricing)
Data Points Tracked

Each SKU snapshot includes:

  • Current listed price
  • Previous price
  • Historical 30-day trend
  • Unit price
  • Pack-size variations
  • In-stock / OOS detection
  • Rating & review count
  • Seller type (Walmart/Target/Costco vs Marketplace)
  • Coupon or promo discounts
Frequency
  • High-velocity categories: every 30 minutes
  • Seasonal SKUs: hourly
  • Costco bulk items: every 3–4 hours
Dataset Volume
  • 3.2M+ price records
  • 18,000 SKUs monitored
  • 220+ categories analyzed

December 2025 Category Overview: Walmart vs Target vs Costco

Price trends varied by category depending on demand, promotions, and stock availability. Below is a detailed breakdown.

Grocery Price Tracking Insights

Walmart continues to lead grocery pricing due to its supply chain scale, but Target's promotional strategy in December created several competitive gaps.

Key Findings
  • Walmart offered the lowest prices on daily essentials 68% of the time.
  • Target launched aggressive "Holiday Bundle Deals" on pantry items.
  • Costco dominated in bulk-pack pricing, especially for snacks, cereals, and beverages.
Sample Data Table: Grocery (December 10–20)
SKU Walmart Price Target Price Costco Price Best Deal
Cheerios 18 oz $3.98 $4.29 $3.45 (2-pack) Costco
Folgers Coffee 30 oz $8.96 $9.49 $8.30 Costco
Coke 12-Pack $6.48 $5.99 (promo) $13.99 (36-pack) Target
Kraft Mac & Cheese 5-Pack $4.98 $5.29 $12.99 (18-pack) Walmart
Eggs (Grade A, 12 ct) $2.21 $2.39 $5.79 (2-dozen) Walmart
Insights:
  • Costco's 2-pack and 3-pack pricing outperformed in unit cost.
  • Target undercut Walmart on beverages and snacks during weekend deals.
  • Walmart remained most stable with low fluctuations.

Household Essentials Price Tracking

Household items (detergents, cleaners, paper goods) experienced major December promotions.

Key Findings
  • Walmart led in toilet paper, laundry detergent, and cleaners.
  • Target offered deeper 15–20% discounts through Circle offers.
  • Costco remained unbeatable on unit price per roll or per ounce.
Sample Data Table: Household (December 1–15)
SKU Walmart Target Costco Best Offer
Tide Liquid 154 oz $18.97 $19.99 $24.99 (2-pack) Walmart
Bounty 8-Roll Pack $17.99 $18.49 $27.99 (12-roll) Costco
Clorox Wipes 75 ct $5.98 $6.19 $15.99 (3-pack) Costco
Hefty Trash Bags 50 ct $7.49 $7.79 $15.99 (2-pack) Walmart/Costco (tie)
Insights:
  • Costco always wins with large families & bulk shoppers.
  • Walmart wins for single-unit purchases.
  • Target positioned itself between the two with convenience-based pricing.

Electronics Price Tracking

December is the peak month for electronics pricing — phones, laptops, smart TVs, gaming consoles, and wearables move fast.

Key Findings
  • Walmart dominated in doorbuster electronics pricing.
  • Target offered stronger bundle deals (Apple Watch + Gift Card, Nintendo Switch + Accessories).
  • Costco provided fewer deals but offered the lowest warranties and bundle unit costs for premium products.
Sample Data Table: Electronics (Dec 15–25)
Product Walmart Price Target Price Costco Price Insight
iPhone 15 128GB $749 $749 + $40 GC $739 Costco cheapest
Samsung 55” 4K TV $379 $399 $349 Costco cheapest
AirPods 3rd Gen $139 $149 $134 Costco
PS5 Bundle $499 $499 + $25 GC $529 Target best value
Insights:
  • Gift cards impacted perceived value.
  • Costco consistently underpriced premium consumer electronics.
  • Walmart dominated entry-level and mid-range electronics.

Baby Products Price Tracking

December saw high demand for diapers, wipes, baby formula, and baby personal care.

Key Findings
  • Walmart offered the cheapest diaper unit price.
  • Costco's Kirkland wipes were the lowest cost per wipe in the USA.
  • Target Circle Deals created the lowest "effective price" for formula.
Sample Data Table – Baby Products
SKU Walmart Target Costco Best Deal
Pampers Swaddlers 120 ct $42.98 $44.49 $47.99 Walmart
Similac Advance 20 oz $26.99 $28.49 $45.99 (2-pack) Costco
Huggies Wipes 3-Pack $6.29 $6.49 $18.49 (10-pack) Costco

Stock-Out & Availability Tracking

One of the most important December insights is which SKUs went out of stock fastest.

Stock-Out Highlights
  • Electronics: OOS peaked between Dec 22–25.
  • Grocery essentials (milk, eggs, bread) had OOS spikes before weekends.
  • Baby formula experienced local OOS spikes during bad weather weeks.
  • Costco had lower OOS rates due to warehouse-level replenishment.
Percentage of SKUs OOS (Dec 1–31)
Category Walmart Target Costco
Grocery 9.8% 11.4% 6.1%
Electronics 18.2% 17.9% 10.5%
Baby Products 6.9% 8.3% 5.2%
Household 5.6% 6.1% 3.9%

Discount Pattern Analysis: How Retailers Dropped Prices in December

Walmart
  • Frequent short-duration flash sales
  • Weekly grocery markdowns
  • Strong electronics price cuts in Week 3
Target
  • Circle offers up to 20%
  • Gift card-based value promotions
  • Best discounts on snacks, beverages, cosmetics
Costco
  • Fewer campaigns
  • Superior unit pricing
  • Deepest discounts on TVs, laptops, and holiday treats

Predictive Analytics: What These Trends Mean for Q1 2026

Based on Actowiz Solutions' predictive algorithms:

  • Electronics prices will rise by 6–8% in January due to reduced inventory.
  • Grocery prices will stabilize after holiday surplus clears.
  • Household essentials will see a 2–4% increase due to supply chain resets.
  • Costco will dominate Q1 bulk purchases due to renewed memberships.
  • Target will rely heavily on Circle promotions to retain holiday shoppers.

Why Real-Time Price Tracking Matters for Brands & Retailers

Brands can use this data to:
  • Detect MAP violations instantly
  • Identify which retailer is undercutting pricing
  • Adjust D2C website pricing
  • Plan inventory launches
Retailers can:
  • Benchmark competitor pricing
  • Time their promotions
  • Adjust regional stock supply
  • Cut unnecessary discounting
Market analysts can:
  • Model inflation trends
  • Understand price elasticity
  • Forecast consumer buying behavior

How Actowiz Solutions Helps You Stay Ahead

Actowiz Solutions offers real-time retail data extraction built for:

  • Enterprise brands
  • Pricing teams
  • Market research firms
  • Retail intelligence platforms
  • Ecommerce analytics companies

Our capabilities include:

  • High-frequency price monitoring
  • Stock-out & restock detection
  • Pack-size & unit-price intelligence
  • Marketplace seller analytics
  • Coupon & promotion mapping
  • Multi-country retail scraping
  • AI-driven predictive modeling

Conclusion: December 2025 Retail Pricing Reveals the Power of Data

The pricing battle among Walmart, Target, and Costco is more dynamic than ever. December clearly showed:

  • Costco leads bulk pricing
  • Walmart leads everyday low prices
  • Target leads promotional creativity

With Actowiz Solutions’ real-time scraping engine, brands, retailers, and analysts can unlock accurate pricing intelligence, improve decision-making, and avoid revenue leaks.

In 2026, pricing speed and data accuracy will define retail success. The companies with the strongest data pipes — not the most promotions — will dominate U.S. retail.

You can also reach us for all your mobile app scraping, data collection, web scraping , and instant data scraper service requirements!

GeoIp2\Model\City Object
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            [city] => Array
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                            [fr] => Columbus
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                            [ru] => Колумбус
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                            [ru] => США
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                    [iso_code] => US
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            [validAttributes:protected] => Array
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    [locales:protected] => Array
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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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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                            [ru] => США
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                    [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] => 216.73.216.157
                    [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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From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape Structure Analyze Visualize

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.

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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Febbin Chacko
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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

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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Dec 10, 2025

Walmart / Target / Costco Price Tracking – December 2025 U.S. Retail Market Intelligence

Track real-time pricing across Walmart, Target, and Costco. A 3,000-word Actowiz Solutions report on price changes, discounts, stock-outs, and seasonal trends.

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Airline Price Trend Report – India–GCC–SEA (December Rush) By Actowiz Solutions

A detailed case study analyzing India–GCC–SEA airline fare trends during the December rush using Actowiz Solutions’ real-time flight pricing intelligence.

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2025 Market Overview - Extract Largest Grocery Chains in USA and Analyze 10 Leading Supermarket Giants

Explore the 2025 U.S. grocery market: Extract Largest Grocery Chains in USA to analyze 10 top retailers and their market share trends.

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Dec 10, 2025

Walmart / Target / Costco Price Tracking – December 2025 U.S. Retail Market Intelligence

Track real-time pricing across Walmart, Target, and Costco. A 3,000-word Actowiz Solutions report on price changes, discounts, stock-outs, and seasonal trends.

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Dec 09, 2025

Google Places Data Extraction – Everything You Need to Know

Extract Google Places data for 5,000+ locations with high accuracy. Actowiz Solutions delivers business listings, ratings, reviews, and location insights at scale.

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Dec 09, 2025

Q-Commerce Price War Breakdown – Zepto vs Blinkit vs Instamart (Live December Analysis) Powered by Actowiz Solutions

A deep analysis of the December price war across Zepto, Blinkit, and Instamart with real-time Q-commerce data from Actowiz Solutions.

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Airline Price Trend Report – India–GCC–SEA (December Rush) By Actowiz Solutions

A detailed case study analyzing India–GCC–SEA airline fare trends during the December rush using Actowiz Solutions’ real-time flight pricing intelligence.

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Availability & OOS in Foodservice B2B Market – Weekly Tracker By Actowiz Solutions

A detailed case study on weekly availability and out-of-stock trends across India’s B2B foodservice platforms using Actowiz Solutions’ real-time intelligence.

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How Store-Level Competitor Mapping Helped a Tier-2 City Retailer Optimize Pricing Using Quick Commerce App Scraping

Discover how store-level competitor mapping using Quick Commerce App Scraping helped a Tier-2 city retailer optimize pricing and boost sales effectively.

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2025 Market Overview - Extract Largest Grocery Chains in USA and Analyze 10 Leading Supermarket Giants

Explore the 2025 U.S. grocery market: Extract Largest Grocery Chains in USA to analyze 10 top retailers and their market share trends.

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Winter OTC Demand Spike Report (USA + India) – 2024–2026 Cold, Flu, Fever & Immunity Products Market Intelligence Powered by Actowiz Solutions

Analyze winter OTC demand spikes for cold, flu, fever and immunity products across USA and India. Real-time price, stock-out and trend insights by Actowiz Solutions.

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December Ecommerce Deals Intelligence – USA & UAE Research Report Powered by Actowiz Solutions

A detailed research report analyzing December ecommerce deals, discounts, and price drops across USA and UAE marketplaces powered by Actowiz Solutions.