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GeoIp2\Model\City Object
(
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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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                            [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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            [registered_country] => Array
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                            [zh-CN] => 美国
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                                    [pt-BR] => Ohio
                                    [ru] => Огайо
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    [continent:protected] => GeoIp2\Record\Continent Object
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                            [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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            [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
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        )

    [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
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                            [fr] => États Unis
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                            [ru] => США
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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
        (
            [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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        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [ip_address] => 216.73.216.152
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                    [network] => 216.73.216.0/22
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            [validAttributes:protected] => Array
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                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
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                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
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                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
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                    [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
                        (
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                            [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
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [latitude] => 39.9625
                    [longitude] => -83.0061
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                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
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                    [1] => accuracyRadius
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                    [4] => metroCode
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                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

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

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

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
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                    [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
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                            [0] => en
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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
)

What is the current store count for Walmart in the U.S.?

There are 4,591 Walmart stores in the United States as of January 15, 2025. The state with the highest Number of Walmart stores in the US is Texas, with 512 stores, accounting for about 10.8% of all Walmart locations in the country. Extract Walmart store count in USA and Collect Total Walmart locations Data in America for deeper insights into store distribution.

Location

4591

States and Territories

50

Cities

2,638

Avg. Ratings

3.91

Looking to download a list of Walmart stores in the United States into Excel?

Get the full dataset of 4,591 Walmart locations data, including geo-coded addresses, phone numbers, and open hours. This Excel file offers comprehensive insights into Walmart locations by state, Walmart store growth in the US, Walmart store data 2025, and Walmart store count by year for analysis and tracking.

Download Dataset

Top 10 U.S. States and Territories with the Most Walmart Locations

Texas

• 512 (10.8%)

• There is a store for every 56,388 people in the state, with Walmart locations in Texas making up about 10.8% of the total number of Walmart stores in the U.S.

Florida

• 338 (6.9%)

• With a store for every 63,156 people, Walmart stores in Florida account for approximately 6.90% of all Walmart locations nationwide.

California

• 271 (5.8%)

• There is a store for every 144,712 people in the state, with Walmart stores in California representing around 5.95% of the total Walmart store count in the U.S.

State / Territory	Number of Stores	Population	Population per Store
Texas	512 (10.8%)	28.00M	55.41K
Florida	338 (6.8%)	20.48M	62.17K
California	271 (5.8%)	38.51M	143.73K
North Carolina	190 (3.8%)	9.49M	53.62K
Georgia	183 (3.8%)	9.62M	56.39K
Illinois	150 (2.8%)	11.67M	82.37K
Ohio	141 (2.8%)	10.69M	80.74K
Missouri	135 (2.8%)	5.14M	43.80K
Tennessee	134 (2.8%)	5.83M	49.21K
Pennsylvania	133 (2.8%)	11.80M	93.83K

Walmart operates stores across 53 states and territories in the United States.

The Following States and Territories Do Not Have any Walmart Stores

• American Samoa
• Guam
• Northern Mariana Islands
• U.S. Virgin Islands

There are 4 states and territories in total without Walmart stores in the United States.

Cities in the U.S. with the Highest Number of Walmart Locations

City	State / Territory	Number of Locations
San Antonio	Texas	28
Orlando	Florida	24
Houston	Texas	23
Las Vegas	Nevada	20
El Paso	Texas	17
Tucson	Arizona	16
Jacksonville	Florida	16
Fort Worth	Texas	14
Oklahoma City	Oklahoma	14
Phoenix	Arizona	14

Walmart vs Its Competitors

Walmart vs Its Competitors	Total Locations	Total States	Total Cities
Walmart vs Target	1968 (-2611 locations compared to Walmart	50 (-1 states compared to Walmart	1300 (-1327 cities compared to Walmart
Walmart vs Burlington	1098 (-3481 locations compared to Walmart	47 (-4 states compared to Walmart	802 (-1820 cities compared to Walmart
Walmart vs Macy’s	516 (-4068 locations compared to Walmart	45 (-5 states compared to Walmart	400 (-2218 cities compared to Walmart
Walmart vs Army & Air Force Exchange Service	296 (-4288 locations compared to Walmart	48 (-3 states compared to Walmart	200 (-2430 cities compared to Walmart
Walmart vs Belk	288 (-4298 locations	15 (-35 states compared to Walmart	258 (-2370 cities compared to Walmart
	compared to Walmart

If you're interested in receiving a detailed report comparing Walmart with any other company, feel free to contact our sales team. We can also provide insights on Walmart store count in rural America and the Walmart USA store network.

Walmart Location Reviews

After analyzing feedback from 15.25M customer reviews of all Walmart locations, the results show:

Average Rating

3.91

Customer Satisfaction Rate

69.57%

Negative Feedback

14.25%

Walmart Locations Having Highest Ratings

Store Name	City	State	Address	Reviews Rating	No. of Review
Walmart	Canovanas	PR	Plaza Canovanas Hwy 3 Int New Rt 66, Canovanas, PR, 00729	4.4	7,357
Walmart	Hatillo	PR	Plaza Del Mar Shopping Center, Hatillo, PR, 00659	4.4	7,620
Walmart	Calexico	CA	2540 Rockwood Ave, Calexico, CA, 92231	4.4	8,515
Walmart	Caguas	PR	Rafael Cordero Ave 301, Caguas, PR, 00725	4.4	10,273
Walmart	Miami	FL	8651 Nw 13th Ter, Miami, FL, 33126	4.3	20,815

Walmart Locations Having Lowest Ratings

Store Name	City	State	Address	Reviews Rating	No. of Review
Walmart	Saint Cloud	MN	3601 2nd St South, Saint Cloud, MN, 56301	3.1	4,013
Walmart	Minneapolis	MN	1200 Shingle Creek Crossing, 55430	3.2	6,340
Walmart	Grand Rapids	MI	355 54th Street Sw, Grand Rapids, MI, 49548	3.3	6,640
Walmart	Dearborn	MI	5851 Mercury Dr, Dearborn, MI, 48126	3.4	10,112
Walmart	Salt Lake City	UT	350 Hope Ave, Salt Lake City, UT, 84115	3.4	10,087

The Walmart POI locations dataset does not include location reviews. For access to customer review data or inquiries regarding Price Comparison, Pricing Strategy, or pricing intelligence, feel free to reach out to us.

Contact Us

Download the Whole Database of Walmart Locations USA

The full list of Walmart locations used in this analysis is available for download from our data store. Below is a random sample of 10 records, giving you an overview of the fields and data, including the Number of Walmart stores in the US and options to Extract Walmart store count in USA.

Buy Complete Dataset

Name	Street	City	State/ Territory	Zip Code	Phone	Latitude	Longitude	Address	Country	updated Date
Edmond Neighborhood Market	1101 Nw 164th St	Edmond	OK	73013	405-216-8478	35.639705	-97.532678	1101 Nw 164th St,Edmond, OK, 73013	USA	2025-01-15
Fayetteville Pharmacy	616 N Garland Ave Ste 363	Fayetteville	AR	72701	479-443-1588	36.073259	-94.175171	616 N Garland Ave Ste 363 Fayetteville, AR, 72701	USA	2025-01-15
Galliano Pharmacy	16759 Hwy 3235	Galliano	LA	70345	985-632-4727	29.470675	-90.324403	16759 Hwy 3235, Galliano, LA, 70345	USA	2025-01-15
Kingwood Neighborhood Market	2165 Northpark Dr	Kingwood	TX	77339	281-358-9992	30.069279	-95.214579	2165 Northpark DrKingwood, TX. 77339	USA	2025-01-15
Charlotte Supercenter	3209 Pineville Matthews Rd	Charlotte	NC	28226	704-541-7292	35.096713	-80.782133	3209 Pineville Matthews Rd, Charlotte, NC, 28226	USA	2025- 01-15
Pineville Neighborhood Market	2750 Hwy 28 E	Pineville	LA	71360	318-229-4184	31.331719	-92.405713	2750 Hwy 28 E, Pineville, LA, 71360	USA	2025-01-15
San Antonio Pharmacy	1 Lone Star Pass Building 46	San Antonio	TX	78264	210-628-4012	29.262607	-98.544114	1 Lone Star Pass Building 46, San Antonio, TX, 78264	USA	2025-01-15
Rogers Supercenter	4208 Pleasant Crossing Blvd	Rogers	AR	72758	479-621-9769	36.278817	-94.151181	4208 Pleasant Crossing Blvd.	USA	2025-01-15
Northport Neighborhood Market	1660 Mcfarland Blvd	Northport	AL	35476	205-861-1263	33.239706	-87.573611	1660 Mcfarland Blvd, Northport, AL, 35476	USA	2025-01-15
Alabaster Neighborhood Market	9085 Hwy 119	Alabaster	AL	35007	205-624-6229	33.212135	-86.829994	9085 Hwy 119, Alabaster, AL, 35007	USA	2025-01-15

Download Data in any Given Formats

You can download the data in Excel or CSV format. For other formats such as JSON, GeoJSON, Esri Shapefile, KML (Google Earth), or any custom format, please reach out to us. Additional fees may apply for these alternative formats.

Contact Us

Conclusion

Actowiz Solutions is your ideal partner when it comes to scraping Number of Walmart stores in the US. With our expertise, we can help you Extract Walmart store count in USA and Collect Total Walmart locations Data in America, ensuring you receive accurate and up-to-date data. Our services allow you to track Walmart locations by state, monitor Walmart store growth in the US, and analyze Walmart store data 2025.

If you're specifically interested in detailed insights, we provide granular data on Walmart store count by year, including locations like Walmart stores in California, Walmart locations in Texas, and Walmart stores in Florida. You can even track Walmart Supercenters in New York and Walmart store count in rural America to gain a comprehensive understanding of the Walmart USA store network.

We also offer enhanced capabilities for Price Comparison, Pricing Strategy, and pricing intelligence, ensuring that your business can leverage these insights for effective decision-making.

GeoIp2\Model\City Object
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                        (
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                            [fr] => Columbus
                            [ja] => コロンバス
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                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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                            [ja] => 北アメリカ
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                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
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            [country] => Array
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            [location] => Array
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            [postal] => Array
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            [registered_country] => Array
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                    [iso_code] => US
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                            [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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                            [names] => Array
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                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [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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                    [names] => Array
                        (
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                            [fr] => Amérique du Nord
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                            [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
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                    [iso_code] => US
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                            [fr] => États Unis
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                            [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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        )

    [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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        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [iso_code] => US
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                            [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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                    [3] => isoCode
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        )

    [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] => 216.73.216.152
                    [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
)

Start Your Project

+1 ▼

Select Service Web Scraping Real-Time API Access Data Dashboards Datasets Review & Sentiment Analysis Price Monitoring Custom Solution

Select Industry E-Commerce Quick Commerce Food Delivery Travel & OTA Grocery & Retail Real Estate Others

Target Country Web Scraping Services Mobile App Scraping Web and App Scraping API Datasets Dashboard

A$лвR$C$CHF¥Kčkr€£HK$FtRp₪₹kr¥₩Mex$RMkrNZ$₱złleikrS$฿₺$R Budget Range $500 - $1,000 - Starter Budget (POC/Single Site) $1,000 - $2,500 - Basic Plan (Small Business Needs) $2,500 - $5,000 - Growth Phase (Multi-site/Data Volume Projects) $5,000 - $10,000 - Business-Scale (Automation/API Integrations) $10,000 - $25,000 - Enterprise Projects (Real-Time Systems, Global Data) $25,000 - $50,000 - Enterprise+ (Custom Dashboards, Ongoing Support) $50,000+ - Strategic Partnership (End-to-End Data Ops)

Additional Trust Elements

✨ "1000+ Projects Delivered Globally"

⭐ "Rated 4.9/5 on Google & G2"

🔒 "Your data is secure with us. NDA available."

💬 "Average Response Time: Under 12 hours"

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape → Structure → Analyze → Visualize

Explore Solutions Get a Custom Demo

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

Trusted by Industry Leaders Worldwide

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 Galido

Co-Founder / Head of Product at Upright Data Inc.

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.”

Iulen Ibanez

CEO / Datacy.es

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!”

Febbin Chacko

-Fin, Small Business Owner

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

Request Demo Access

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

All

Blog

Case Studies

Infographics

Report

Sep 24, 2025

Web Crawling for US Grocery Platforms - Discovering Market Leaders and Key Insights

Explore how web crawling for US grocery platforms reveals market leaders, consumer trends, and key insights shaping the future of online grocery.

Price Comparison Study - How Menu Price Comparison for Swiggy and Zomato Improves Retail Insights

Menu Price Comparison for Swiggy and Zomato: Real-time menu data extraction helps retailers track prices, optimize menus, and gain actionable insights.

Festive Price Surge Tracker: Amazon Fresh vs BigBasket vs JioMart in India

Track how prices of sweets, snacks, and groceries surged across Amazon Fresh, BigBasket, and JioMart during Diwali & Navratri in India with Actowiz festive price insights.

Ride-Hailing Competition in NYC - Uber, Lyft & Yellow Cab Pricing Analysis

Ride-Hailing Price Comparison in NYC - An in-depth analysis of Uber, Lyft, and Yellow Cab fares, highlighting cost trends and competitive insights.

Sep 24, 2025

Web Crawling for US Grocery Platforms - Discovering Market Leaders and Key Insights

Explore how web crawling for US grocery platforms reveals market leaders, consumer trends, and key insights shaping the future of online grocery.

Sep 24, 2025

How Data Scraping for Luxury Retailers Reveals Regional Buying Patterns and Market Insights?

Discover how data scraping for luxury retailers uncovers regional buying patterns, consumer trends, and market insights to drive smarter business decisions.

Sep 24, 2025

How Sephora API for Beauty Market Trends Analysis Helps Brands Forecast Demand with Data and AI Insights?

Discover how Sephora API for beauty market trends analysis, combined with AI insights, helps brands forecast demand and stay ahead of consumer trends.

Read More

Price Comparison Study - How Menu Price Comparison for Swiggy and Zomato Improves Retail Insights

Menu Price Comparison for Swiggy and Zomato: Real-time menu data extraction helps retailers track prices, optimize menus, and gain actionable insights.

Grocery Price Tracking for Blinkit, BigBasket & Zepto - Real-Time Scraping to Optimize Retail Pricing

Grocery Price Tracking for Blinkit, BigBasket & Zepto: Real-time scraping insights to optimize retail pricing, monitor competitors, and boost sales efficiency.

Analyzing Audience Engagement with the MX Player Viewership Dataset - Insights for Content Strategy

Explore audience behavior with the MX Player Viewership Dataset and uncover insights to optimize content strategy and boost viewer engagement effectively.

Read More

Festive Price Surge Tracker: Amazon Fresh vs BigBasket vs JioMart in India

Track how prices of sweets, snacks, and groceries surged across Amazon Fresh, BigBasket, and JioMart during Diwali & Navratri in India with Actowiz festive price insights.

Top 5 Brands Offering Deepest Discounts on Clothes This Navratri

Score big this Navratri 2025! Discover the top 5 brands offering the biggest clothing discounts and grab stylish festive outfits at unbeatable prices.

Top 10 Most Ordered Grocery Items During Navratri 2025

Discover the top 10 most ordered grocery items during Navratri 2025. Explore popular festive essentials for fasting, cooking, and celebrations.

Read More

Ride-Hailing Competition in NYC - Uber, Lyft & Yellow Cab Pricing Analysis

Ride-Hailing Price Comparison in NYC - An in-depth analysis of Uber, Lyft, and Yellow Cab fares, highlighting cost trends and competitive insights.

Unlocking Price Trends – Blinkit vs BigBasket Market Data Analysis 2025 with Comparative Price Intelligence

Discover key insights from Blinkit vs BigBasket Market Data Analysis 2025—unlock price trends and boost growth with comparative price intelligence.

Wine vs. Beer vs. Spirits - Alcohol Consumption Trends in Travel Hubs (NYC, Dubai, London)

Explore Alcohol Consumption Trends in Travel Hubs comparing wine, beer, and spirits in NYC, Dubai, and London with key insights and data analysis.

Read More

Our perks are irreplaceable

Time Zone Flexibility

Benefit from the ease of collaboration with Actowiz Solutions, as our team is aligned with your preferred time zone, ensuring smooth communication and timely delivery.

Clear Communication

Our team focuses on clear, transparent communication to ensure that every project is aligned with your goals and that you’re always informed of progress.

Uncompromising Quality

Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations

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