Retail Store Data: Accurate Places Data | Global | Location Data on 52M+ Places

#	PLACEKEY	LOCATION_NAME	STREET_ADDRESS	CITY	REGION	POSTAL_CODE	SAFEGRAPH_BRAND_IDS	BRANDS	TOP_CATEGORY	SUB_CATEGORY	NAICS_CODE	LATITUDE	LONGITUDE	PHONE_NUMBER	OPEN_HOURS
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxx
2	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxx
3	xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx
4	Xxxxxxx	xxxxxx	Xxxxxxxx	Xxxxxxx	Xxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx	Xxxxxxxx
5	Xxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx	Xxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxxx
6	Xxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxx	Xxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxx	xxxxxx	Xxxxxxxxx	xxxxx
7	Xxxxxxxxxx	xxxxxx	xxxxx	xxxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	xxxxx
8	xxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxxx	xxxxxxxxxx	Xxxxxx	xxxxxxxxx	Xxxxx	xxxxx
9	xxxxxxxxx	xxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxx	xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxxx	xxxxxxxx
10	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

Volume

11M

POI (Points of Interest)

Data Quality

97%

Location accuracy

Avail. Format

.csv

File

Coverage

Countries

[Sample] US_Open_Starbucks_Dunkin.csv

Attribute	Type	Example
PLACEKEY	String	222-222@62k-2ww-8n5
LOCATION_NAME	String	Starbucks
STREET_ADDRESS	String	182 Summer St
CITY	String	Kingston
REGION	String	MA
POSTAL_CODE	Integer	2364
SAFEGRAPH_BRAND_IDS	String	"SG_BRAND_f116acfe9147494063e58da666d1d57e"
BRANDS	String	"Starbucks"
TOP_CATEGORY	String	Restaurants and Other Eating Places
SUB_CATEGORY	String	Snack and Nonalcoholic Beverage Bars
NAICS_CODE	Integer	722515
LATITUDE	Float	42.012161
LONGITUDE	Float	-70.732915
PHONE_NUMBER	Integer	###########
OPEN_HOURS	String	{ "Fri": [ [ "5:00", "19:30" ] ],...

Product Attributes

Attribute	Type	Example	Mapping
Latitude	Float	36.714767	Latitude
Longitude	Float	-121.662912	Longitude
NAICS	String	441110	Company NAICS Code
Category Tags		[Mexican Food,Casual Dining,Lunch,Dinner]
Open Hours		{ "Mon": [["8:00", "22:00"]], "Tue": [["8:00", "13:00"], ...
Street Address	String	#### ** ** ****	Address
Brand	String	Walmart	Brand Name
Placekey	String	222-222@222-222-222	Placekey
Parent Placekey	String	223-223@222-222-222	Placekey
Location Name	String	Salinas Valley Ford Lincoln	Location Name
Top Category		Automobile Dealers
Sub Category		New Car Dealers
City	String	Irvine	City Name
Region		CA
Postal Code	String	92602	Postal Code
ISO Country Code	String	US	Country Code Alpha-2
Phone Number	String	+###########	Phone Number
Opened On		2019-10
Closed On		2020-03
Stock Symbol		F

Geospatial data on information about points of interest (POI), such as brand, address, location, lat/log, open-hours, and NAICS category. This high-quality location data also includes open and close dates, category tags, and the Placekey universal identifier to easily join any other attributes.

SafeGraph Places provides baseline information for every record in the SafeGraph product suite via the Places schema and polygon information when applicable via the Geometry schema. The current scope of a place is defined as any location humans can visit with the exception of single-family homes. This definition encompasses a diverse set of places ranging from restaurants, grocery stores, and malls; to parks, hospitals, museums, offices, and industrial parks. Premium sets of Places include apartment buildings, Parking Lots, and Point POIs (such as ATMs or transit stations). SafeGraph Places is a point of interest (POI) data offering with varying coverage depending on the country. Note that address conventions and formatting vary across countries. SafeGraph has coalesced these fields into the Places schema. SafeGraph provides clean and accurate geospatial datasets on 52M+ physical places/points of interest (POI) globally. Hundreds of industry leaders like Mapbox, Verizon, Clear Channel, and Esri already rely on SafeGraph POI data to unlock business insights and drive innovation.

Europe (1)

United Kingdom

North America (2)

Canada

United States of America

11 million	POI (Points of Interest)
30	Attributes
7,800	Brands

Free sample available

License	Starts at
One-off purchase	$0.10 / purchase
Monthly License	Not available
Yearly License	$30,000 / year
Usage-based	$0.10 / API call

Request detailed pricing

Self-reported by the provider

97%

Location accuracy

Methods

Frequency

Format

Location Analytics

Retail

Point of Interest (POI) Mapping Location Insights

Product

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97% Location accuracy

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What is Retail Store Data: Accurate Places Data Global Location Data on 52M+ Places?

What is Retail Store Data: Accurate Places Data Global Location Data on 52M+ Places used for?

This product has 5 key use cases. SafeGraph recommends using the data for Location Analytics, Retail, Point of Interest (POI) Mapping, Location Insights, and Product. Global businesses and organizations buy Map Data from SafeGraph to fuel their analytics and enrichment.

Who can use Retail Store Data: Accurate Places Data Global Location Data on 52M+ Places?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Map Data. Get in touch with SafeGraph to see what their data can do for your business and find out which integrations they provide.

Which countries does Retail Store Data: Accurate Places Data Global Location Data on 52M+ Places cover?

This product includes data covering 3 countries like USA, United Kingdom, and Canada. SafeGraph is headquartered in United States of America.

How much does Retail Store Data: Accurate Places Data Global Location Data on 52M+ Places cost?

Pricing for Retail Store Data: Accurate Places Data Global Location Data on 52M+ Places starts at USD0.10 per purchase. Connect with SafeGraph to get a quote and arrange custom pricing models based on your data requirements.

How can I get Retail Store Data: Accurate Places Data Global Location Data on 52M+ Places?

Businesses can buy Map Data from SafeGraph and get the data via S3 Bucket, UI Export, and REST API. Depending on your data requirements and subscription budget, SafeGraph can deliver this product in .csv format.

What is the data quality of Retail Store Data: Accurate Places Data Global Location Data on 52M+ Places?

SafeGraph has reported that this product has the following quality and accuracy assurances: 97% Location accuracy. You can compare and assess the data quality of SafeGraph using Datarade’s data marketplace. SafeGraph has received 17 reviews from clients. SafeGraph appears on selected Datarade top lists ranking the best data providers, including Best Data Providers For Location-Based Marketing and Top 10 POI Data Providers & APIs.

What are similar products to Retail Store Data: Accurate Places Data Global Location Data on 52M+ Places?

This product has 3 related products. These alternatives include Market Research Data: Accurate Places Data Global Location Data on 52M+ Places, Places Data New Car Dealers Locations in US and Canada Location Insights POI Data, and Geospatial Data Places Data Polygon Data GIS Data Store Location Data Global Coverage. You can compare the best Map Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at

$0.10 / purchase

License	Starts at
One-off purchase	$0.10 / purchase
Monthly License	Not available
Yearly License	$30,000 / year
Usage-based	$0.10 / API call

Verified Provider

4h Avg. response time

100% Response rate

Retail Store Data: Accurate Places Data | Global | Location Data on 52M+ Places

Data Dictionary

Description

Country Coverage

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

SafeGraph
We predict the past. SafeGraph is the place for data about the physical world.

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Retail Store Data: Accurate Places Data | Global | Location Data on 52M+ Places

Data Dictionary

Description

Country Coverage

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

SafeGraph We predict the past. SafeGraph is the place for data about the physical world.

Trusted by

SafeGraph
We predict the past. SafeGraph is the place for data about the physical world.