Brazil Points of Interest (POI) Data

#	dataplor_id	parent_location	name	main_category	sub_category	sub_sub_category	business_category	naics_code	sic_code	parent_brand_path_id	parent_chain_path	chain_id	chain_name	store_number	stock_ticker	phone	address	address2	h3_index	neighborhood	city	state	postal_code	country_code	country	latitude	longitude	dataplor_status	data_quality_confidence_score	open_closed_status	open_closed_status_confidence_score	opened_on	closed_on	website	monday_open	monday_close	tuesday_open	tuesday_close	wednesday_open	wednesday_close	thursday_open	thursday_close	friday_open	friday_close	saturday_open	saturday_close	sunday_open	sunday_close
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxx	xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	xxxxxx	Xxxxxxxx
2	Xxxxxxx	Xxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	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
3	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	xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx
4	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
5	xxxxxxxx	xxxxxxx	Xxxxx	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
6	Xxxxx	xxxxxxxxx	xxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	Xxxxx	Xxxxx	Xxxxxxx	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
7	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	xxxxxxxxx	xxxxxxxx	xxxxxxxxx	xxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxx
8	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
9	Xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxx	xxxxxxxxxx	Xxxxxxx	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
10	xxxxxx	xxxxxxxxxx	xxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxx	Xxxxxxxxxx	xxxxx	Xxxxxxxxx	Xxxxxxx	Xxxxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxxxx	xxxxx	xxxxxxxxxx	xxxxxxx	xxxxxxxx	Xxxxx	xxxxx	xxxxxx	Xxxxxx	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	Xxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxx	xxxxxxx	xxxxxxxxxx	Xxxxxxxxxx	Xxxxxx

Request Data Sample

Volume

17M

+ records

Avail. Formats

.json and .csv

File

Coverage

Country

History

years

Product Attributes

Attribute	Type	Example	Mapping
dataplor_id	String	008e0da2-92d4-4ee4-bddd-0f28f5e2dcaa	POI ID
parent_location	String
name	String	Bob's Burgers	POI Name
main_category	String	dining	POI Category
sub_category	String	diner	POI Sub-category
sub_sub_category	String		POI Sub-category
business_category	String	fast_food_restaurant	Product Category
naics_code	String	722511	Company NAICS Code
sic_code	String	5812	Company SIC Code
parent_brand_path_id	String	b041e9ac-4407-4544-9434-08e21067b158
parent_chain_path	String	brazilian_fast_food_corporation
chain_id	String	bobs
chain_name	String	Bob's
store_number	String
stock_ticker	String	AAPL	Stock Ticker
phone	String	+############	POI Telephone
address	String	**ç ú ***, ##	Address
address2	String	# ****** , *****, #####, ***	Address
h3_index	String	8fa8a3b14d70c30
neighborhood	String	Centro	Neighborhood Name
city	String	Barra do Piraí	City Name
state	String	Rio de Janeiro	State Name
postal_code	String	27123-010	Postal Code
country_code	String	br	Country Code Alpha-2
country	String	Brazil	Country Name
latitude	Float	-22.46966217	Latitude
longitude	Float	-43.82627707	Longitude
dataplor_status	String	active
data_quality_confidence_score	String	0.966557182728641
open_closed_status	String	open
open_closed_status_confidence_score	Float	0.303
opened_on	String	2013-09-20
closed_on	String
website	String	https://www.bobs.com.br/	Website
monday_open	String	11:00	POI Opening Hours
monday_close	String	22:00	POI Opening Hours
tuesday_open	String	11:00	POI Opening Hours
tuesday_close	String	22:00	POI Opening Hours
wednesday_open	String	11:00	POI Opening Hours
wednesday_close	String	22:00	POI Opening Hours
thursday_open	String	11:00	POI Opening Hours
thursday_close	String	22:00	POI Opening Hours
friday_open	String	11:00	POI Opening Hours
friday_close	String	22:00	POI Opening Hours
saturday_open	String	11:00	POI Opening Hours
saturday_close	String	22:00	POI Opening Hours
sunday_open	String	11:00	POI Opening Hours
sunday_close	String	22:00	POI Opening Hours

dataplor's Brazil dataset covers 17M+ POIs making it the most comprehensive location and business intelligence dataset available for Brazil. Our datasets are meticulously curated and constantly updated.

This dataset is your gateway to navigating Brazil's vibrant and historically significant market. dataplor’s data is not just extensive—it's incredibly detailed, local, and designed to provide businesses with actionable insights for thriving in this dynamic country. Precise Solutions for Your Business Objectives: -New Opportunities: Discover ideal locations for your next retail outlet, restaurant, or office in bustling cities. -Market Insights: Gain an understanding of consumer behaviors and preferences in regions to inform your strategic decisions. -Competitive Advantage: Get a clearer view of your competitors’ presence and performance throughout Brazil's diverse landscape. -Resource Efficiency: Optimize your logistics, delivery routes, and supply chain management to tackle the unique challenges of Brazil's geography. -Data-Driven Innovation: Craft targeted marketing campaigns, personalized customer experiences, and innovative solutions that resonate with Brazil's distinct cultural and economic environment. Customized Solutions for Brazil’s Key Sectors: -Retail and E-commerce: Fine-tune delivery networks, pinpoint consumer hotspots in both urban and rural areas, and plan strategic expansions in high-growth regions. -Financial Services: Strategically position ATMs, branches, and finance initiatives to maximize reach and impact, catering to both urban centers and underserved rural areas. -Real Estate and Construction: Make informed decisions about property development, investments, and urban planning with precise data on land use, building footprints, and infrastructure. -Government and Public Services: Optimize infrastructure development, resource allocation, and emergency response planning in a country facing unique challenges and a growing population. With dataplor’s POI data, you’re not just accessing information—you’re gaining a strategic edge in one of the world's most historically rich and promising markets.

South America (1)

Brazil

20 years of historical data

17 million

+ records

10% discount if you buy via Datarade

License	Starts at
One-off purchase	Not available
Monthly License	Not available
Yearly License	Not available
Usage-based	$0.09$0.08 / record

Request detailed pricing

Methods

Frequency

Format

Location Intelligence

Location Analytics

Business Development Real Estate Intelligence B2B Marketing Analytics

Point of Interest (POI) Data Geodemographic Data Business Location Data Advertising Data Commercial Real Estate Data

5 countries covered

This product combines POI data with Building Footprints, providing companies with core information of any physical location, as well as a clear picture on th...

240 Brands

90% Accuracy

India covered

GapMaps curates up-to-date and high-quality Point of Interest (POI) data tracking store openings and closures for leading retail brands in India across 15 ca...

57M Business Records

India covered

20 years of historical data

dataplor's India POI dataset covers 57M+ businesses & services across the country, making it the most comprehensive location and business intelligence datase...

11M POI (Points of Interest)

182 countries covered

2 years of historical data

Commercial Real Estate, such as store, brand, address, location, lat/log, open-hours, and NAICS category. This high-quality property data also includes open ...

What is Brazil Points of Interest (POI) Data?

dataplor’s Brazil dataset covers 17M+ POIs making it the most comprehensive location and business intelligence dataset available for Brazil. Our datasets are meticulously curated and constantly updated.

What is Brazil Points of Interest (POI) Data used for?

This product has 5 key use cases. dataplor recommends using the data for Location Intelligence, Location Analytics, Business Development, Real Estate Intelligence, and B2B Marketing Analytics. Global businesses and organizations buy Point of Interest (POI) Data from dataplor to fuel their analytics and enrichment.

Who can use Brazil Points of Interest (POI) Data?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Point of Interest (POI) Data. Get in touch with dataplor to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Brazil Points of Interest (POI) Data go?

This product has 20 years of historical coverage. It can be delivered on a weekly basis.

Which countries does Brazil Points of Interest (POI) Data cover?

This product includes data covering 1 country like Brazil. dataplor is headquartered in United States of America.

How much does Brazil Points of Interest (POI) Data cost?

Pricing for Brazil Points of Interest (POI) Data starts at USD0.09 per record. dataplor offers a 10% discount when you buy data from them through Datarade. Connect with dataplor to get a quote and arrange custom pricing models based on your data requirements.

How can I get Brazil Points of Interest (POI) Data?

Businesses can buy Point of Interest (POI) Data from dataplor and get the data via S3 Bucket and SFTP. Depending on your data requirements and subscription budget, dataplor can deliver this product in .json and .csv format.

What is the data quality of Brazil Points of Interest (POI) Data?

You can compare and assess the data quality of dataplor using Datarade’s data marketplace. dataplor has received 3 reviews from clients.

What are similar products to Brazil Points of Interest (POI) Data?

This product has 3 related products. These alternatives include Echo Analytics POI & Building Footprint Data 11M+ Locations in UK, France, Italy, Germany & Spain Point of Interest Data, GapMaps Premium Point of Interest (POI) Data India Point of Interest (POI) for Leading Retail Brands Monthly Tracking, and India Points of Interest (POI) Data. You can compare the best Point of Interest (POI) Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at

$0.09$0.08 / record

License	Starts at
One-off purchase	Not available
Monthly License	Not available
Yearly License	Not available
Usage-based	$0.09$0.08 / record

Verified Provider

6h Avg. response time

100% Response rate

Brazil Points of Interest (POI) Data

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Products

Frequently asked questions

dataplor
Globally scaled, dynamically updated and human-reviewed accurate location data.

Trusted by

Brazil Points of Interest (POI) Data

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Products

Frequently asked questions

dataplor Globally scaled, dynamically updated and human-reviewed accurate location data.

Trusted by

dataplor
Globally scaled, dynamically updated and human-reviewed accurate location data.