Grepsr | Walgreens US Stores Across the United States | Geospatial Data Insights
| # | reviews_cnt |
claimed |
fid |
map_id_encoded |
map_id |
map_link |
footdata |
image_1 |
image_2 |
category_1 |
accessibility_1 |
accessibility_2 |
children_1 |
amenities_1 |
amenities_2 |
amenities_3 |
children_2 |
service_options_1 |
service_options_2 |
service_options_3 |
service_options_4 |
planning_1 |
payments_1 |
category_2 |
category_3 |
category_4 |
category_5 |
payments_2 |
payments_3 |
accessibility_3 |
planning_2 |
from_the_business_1 |
summary |
description |
highlights_1 |
offerings_1 |
category_6 |
category_7 |
category_8 |
crowd_1 |
crowd_2 |
getting_here_1 |
from_the_business_2 |
accessibility_4 |
category_9 |
category_10 |
payments_4 |
service_options_5 |
highlights_2 |
service_options_6 |
payments_5 |
||||||||||||||
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| 2 | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx |
| 3 | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx |
| 4 | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx |
| 5 | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx |
| 6 | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx |
| 7 | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx |
| 8 | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx |
| 9 | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx |
| 10 | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx |
| ... | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxx | xxxxxxxx |
Volume
100
Different attributes/columns
Avail. Formats
.bin, .json, and .xml
File
Coverage
249
Countries
Data Dictionary
[Sample] Walgreens.csv
| Attribute | Type | Example | Mapping |
|---|---|---|---|
| String | walgreens | Brand Name | |
| String | walgreens.com | POI Name | |
| String | https://www.walgreens.com/locator/walgreens-15934%2Bjamai... | Company Website | |
| String | 15934 Jamaica Ave, Queens, NY 11432 | Company Address | |
| Float | 2.8 | Product Rating | |
|
reviews_cnt
|
Integer | 117 | |
| Float | 40.7034828 | Latitude | |
| Float | -73.7991035 | Longitude | |
|
claimed
|
Integer | 1 | |
| String | 7??AM??12??AM | POI Opening Hours | |
| String | 7??AM??12??AM | POI Opening Hours | |
| String | 7??AM??12??AM | POI Opening Hours | |
| String | 7??AM??12??AM | POI Opening Hours | |
| String | 7??AM??12??AM | POI Opening Hours | |
| String | 7??AM??12??AM | POI Opening Hours | |
| String | 8??AM??10??PM | POI Opening Hours | |
|
fid
|
String | 0x89c260d945a9e45b:0x8ccfc20829819085 | |
|
map_id_encoded
|
String | ChIJW-SpRdlgwokRhZCBKQjCz4w | |
|
map_id
|
String | 0x89c260d945a9e45b:0x8ccfc20829819085 | |
|
map_link
|
String | https://www.google.com/maps/place/data=!3m1!4b1!4m2!3m1!1... | |
|
footdata
|
String | [] | |
|
image_1
|
String | https://lh5.googleusercontent.com/p/AF1QipMOv2wfTdOfhL1Bc... | |
|
image_2
|
String | https://lh5.googleusercontent.com/p/AF1QipMOv2wfTdOfhL1Bc... | |
|
category_1
|
String | Drug store | |
|
accessibility_1
|
String | Has wheelchair accessible entrance | |
|
accessibility_2
|
|||
|
children_1
|
|||
|
amenities_1
|
|||
|
amenities_2
|
|||
|
amenities_3
|
|||
|
children_2
|
|||
|
service_options_1
|
String | Offers curbside pickup | |
|
service_options_2
|
String | Offers online care | |
|
service_options_3
|
String | Offers delivery | |
|
service_options_4
|
String | In-store pickup for online orders | |
|
planning_1
|
String | Good for quick visit | |
|
payments_1
|
String | Accepts credit cards | |
|
category_2
|
String | Beauty supply store | |
|
category_3
|
String | Convenience store | |
|
category_4
|
String | Cosmetics store | |
|
category_5
|
String | Greeting card shop | |
|
payments_2
|
String | Accepts debit cards | |
|
payments_3
|
String | Accepts NFC mobile payments | |
|
accessibility_3
|
|||
|
planning_2
|
|||
|
from_the_business_1
|
|||
|
summary
|
String | Prescriptions plus health \u0026 beauty items | |
|
description
|
String | Drugstore chain with health \u0026 beauty aids, prescript... | |
|
highlights_1
|
|||
|
offerings_1
|
String | Has passport photo services | |
|
category_6
|
String | Perfume store | |
|
category_7
|
String | Stationery store | |
|
category_8
|
|||
|
crowd_1
|
|||
|
crowd_2
|
|||
|
getting_here_1
|
|||
|
from_the_business_2
|
|||
|
accessibility_4
|
|||
|
category_9
|
|||
|
category_10
|
|||
|
payments_4
|
String | Accepts SNAP/EBT | |
|
service_options_5
|
String | Has in-store shopping | |
|
highlights_2
|
|||
|
service_options_6
|
|||
|
payments_5
|
Product Attributes
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
Name
|
Text | ||
|
Address
|
Text | ||
|
Category
|
Text | ||
|
Sub-category
|
Text | ||
|
Phone number
 |
String | ||
|
Longitude
|
Float | ||
|
Latitude
|
Float |
Description
This dataset serves as a valuable resource for businesses, researchers, and analysts seeking in-depth insights into the distribution, characteristics, and operational details of Walgreens stores across the nation.
Potential Applications of the Dataset:
1. Geospatial Information: Precise geographical coordinates for each Walgreens store, enabling accurate mapping and spatial analysis.
State-wise and city-wise breakdown of store locations for a comprehensive overview.
2. Store Details: Store addresses, including street name, city, state, and zip code, facilitating easy identification and location-based analysis.
Contact information, such as phone numbers, providing a direct link to store management.
3. Operational Attributes: Store opening and closing hours, aiding businesses in strategic planning and market analysis.
Services and amenities are available at each location, offering insights into the diverse offerings of Walgreens stores.
4. Historical Data: Historical data on store openings and closures, total numbers of Walgreens locations providing a timeline perspective on Walgreens' expansion and market presence.
5. Demographic Insights: Demographic information of the areas surrounding each store, empowering users to understand the local customer base.
6. Comprehensive and Up-to-Date: Regularly updated to ensure the dataset reflects the latest information on Walgreens store locations and attributes.
Detailed data quality assessment is run by the Quality Assurance team at Grepsr for verification, accuracy, and reliability.
The dataset is structured in a flexible format; XLs, CSV, JSON, etc, allowing users to tailor their queries and analysis based on precise data requirements.
Geography
Africa
(58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia
(51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe
(51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America
(13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania
(25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other
(9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America
(42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)
Volume
| 100 | Different attributes/columns |
Pricing
Free sample available
| License | Starts at |
|---|---|
| One-off purchase | Available |
| Monthly License | Available |
| Yearly License | Available |
| Usage-based | Not available |
Suitable Company Sizes
Small Business
Medium-sized Business
Enterprise
Delivery
Methods
S3 Bucket
SFTP
Email
UI Export
REST API
SOAP API
Streaming API
Feed API
Frequency
hourly
daily
weekly
monthly
quarterly
yearly
on-demand
Format
.bin
.json
.xml
.csv
.xls
Use Cases
Location Analytics
Location Planning
Location Insights
Point of Interest (POI) Marketing
POI Enrichment
Categories
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Frequently asked questions
What is Grepsr Walgreens US Stores Across the United States Geospatial Data Insights?
This dataset serves as a valuable resource for businesses, researchers, and analysts seeking in-depth insights into the distribution, characteristics, and operational details of Walgreens stores across the nation.
What is Grepsr Walgreens US Stores Across the United States Geospatial Data Insights used for?
This product has 5 key use cases. Grepsr recommends using the data for Location Analytics, Location Planning, Location Insights, Point of Interest (POI) Marketing, and POI Enrichment. Global businesses and organizations buy Location Data from Grepsr to fuel their analytics and enrichment.
Who can use Grepsr Walgreens US Stores Across the United States Geospatial Data Insights?
This product is best suited if you’re a Small Business or Enterprise looking for Location Data. Get in touch with Grepsr to see what their data can do for your business and find out which integrations they provide.
Which countries does Grepsr Walgreens US Stores Across the United States Geospatial Data Insights cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Grepsr is headquartered in United States of America.
How much does Grepsr Walgreens US Stores Across the United States Geospatial Data Insights cost?
Pricing information for Grepsr Walgreens US Stores Across the United States Geospatial Data Insights is available by getting in contact with Grepsr. Connect with Grepsr to get a quote and arrange custom pricing models based on your data requirements.
How can I get Grepsr Walgreens US Stores Across the United States Geospatial Data Insights?
Businesses can buy Location Data from Grepsr and get the data via S3 Bucket, SFTP, Email, UI Export, REST API, SOAP API, Streaming API, and Feed API. Depending on your data requirements and subscription budget, Grepsr can deliver this product in .bin, .json, .xml, .csv, and .xls format.
What is the data quality of Grepsr Walgreens US Stores Across the United States Geospatial Data Insights?
You can compare and assess the data quality of Grepsr using Datarade’s data marketplace. Grepsr has received 2 reviews from clients. Grepsr appears on selected Datarade top lists ranking the best data providers, including Best 5 Amazon Data Scrapers for Product Research & Analysis and Who’s New on Datarade? September Edition.
What are similar products to Grepsr Walgreens US Stores Across the United States Geospatial Data Insights?
This Tabular Data has 3 related products. These alternatives include Grepsr Comprehensive Dataset of Walgreens US Stores Across the United States, The Data Appeal Global Point-of-Interest (POI) Data API, Dataset 251 Millions+ POI Data Mapped Footfall and Sentiment Insights, and Xtract.io Polygon Data All Home Furnishing and Electronics, Home Centre stores in US and Canada. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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