Bright Data | Business Location (POI) Dataset
Verified Data Provider| # | UniqueID |
UniversalPublicationId |
CompanyName |
TradeName |
DirectoryName |
Address1 |
Address2 |
PostCode |
City |
CityCode |
Province |
ProvinceCode |
Region |
RegionCode |
Country |
Fax |
Website |
WebDomain |
WebsiteIpAddress |
InternationalCode |
Business Category |
YearStarted |
EmployeesHere |
EmployeesHereReliabilityCode |
EmployeesHereReliabilityCodeDescription |
EmployeesTotal |
EmployeesTotalReliabilityCode |
EmployeesTotalReliabilityCodeDescription |
SalesVolumeLocal |
CurrencyCode |
SalesVolumeDollars |
SalesVolumeEuros |
SalesVolumeReliabilityCode |
SalesVolumeReliabilityCodeDescription |
IsPublished |
PublishingStrength |
GenericOpeningHours |
Longitude |
Latitude |
GeoLevel |
GeoLevelDescription |
||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 |
| 2 | Xxxxxxxx | 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 |
| 3 | 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 | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx |
| 4 | 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 |
| 5 | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | 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 |
| 6 | 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 | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx |
| 7 | 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 | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx |
| 8 | 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 |
| 9 | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | 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 |
| 10 | 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 | 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 |
Data Quality
97%
Success rate in real-time
Avail. Formats
.json and .csv
File
Coverage
245
Countries
Data Dictionary
[Sample] POI sample Bright Data Marketplace_Count redacted.csv
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
UniqueID
|
Integer | 478422544 | |
|
UniversalPublicationId
|
String | PL100107656 | |
|
CompanyName
|
String | SENATOR SP Z O O | |
|
TradeName
|
|||
|
DirectoryName
|
String | Senator Sp. z o.o | |
|
Address1
|
String | Ul. Bukowska 18 | |
|
Address2
|
|||
|
PostCode
|
Integer | 62081 | |
|
City
|
String | Tarnowo Podgórne | |
|
CityCode
|
String | PL3021172 | |
|
Province
|
String | Województwo wielkopolskie | |
|
ProvinceCode
|
String | PL30 | |
|
Region
|
|||
|
RegionCode
|
|||
|
Country
|
String | Poland | |
| String | PL | Country Code Alpha-2 | |
| String | POL | Language Name | |
| String | Phone Number | ||
| String | Phone Number | ||
|
Fax
|
String | exists - redacted | |
| String | Contact Mobile Phone Number | ||
| String | Email Address | ||
|
Website
|
String | www.senator.pl | |
|
WebDomain
|
String | senator.pl | |
|
WebsiteIpAddress
|
String | 195.78.67.18 | |
|
InternationalCode
|
Integer | 2599 | |
|
Business Category
|
String | Furniture and fixtures nec | |
|
YearStarted
|
Integer | 2010 | |
|
EmployeesHere
|
Integer | 37 | |
|
EmployeesHereReliabilityCode
|
Integer | 0 | |
|
EmployeesHereReliabilityCodeDescription
|
String | Actual | |
|
EmployeesTotal
|
Integer | 37 | |
|
EmployeesTotalReliabilityCode
|
Integer | 0 | |
|
EmployeesTotalReliabilityCodeDescription
|
String | Actual | |
|
SalesVolumeLocal
|
Integer | 10129369 | |
|
CurrencyCode
|
String | PLN | |
|
SalesVolumeDollars
|
Integer | 2433095 | |
|
SalesVolumeEuros
|
Integer | 2299367 | |
|
SalesVolumeReliabilityCode
|
Integer | 0 | |
|
SalesVolumeReliabilityCodeDescription
|
String | Actual | |
|
IsPublished
|
Boolean | t | |
|
PublishingStrength
|
Float | 91.24 | |
|
GenericOpeningHours
|
String | { OpeningHoursSets :[{ OpeningLabel : DaysList :[{ Wee... | |
|
Longitude
|
Float | 16.7803314 | |
|
Latitude
|
Float | 52.41504675 | |
|
GeoLevel
|
Integer | 4 | |
|
GeoLevelDescription
|
String | RoofTop |
Product Attributes
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
Timestamp
|
2021-05-02T17:28:25.449Z | ||
|
URL
|
https://www.linkedin.com/organization-guest/company/amazon | ||
| String | Amazon | Company Name | |
|
Slogan
|
When available | ||
|
Industries
|
Internet | ||
|
Followers
|
19156025 | ||
|
Stock Symbol
|
AMZN | ||
|
Funding rounds
|
2 total rounds | ||
|
Last funding round
|
Post IPO equity | ||
|
Money raised
|
US$ 100.0M | ||
|
Logo
|
logo_url | ||
|
Background Image
|
background_url | ||
| String | 610444 | Company Employee Count | |
|
About
|
"Amazon is guided by four principles..." | ||
|
Locations
|
2127 7th Ave., Seattle, WA 98109, US | ||
|
Updates
|
"Jeff Bezos and Mary's Place recently welcomed..." | ||
|
Similar companies
|
|||
|
Affiliated pages
|
Amazon Web Services (AWS) | ||
| Integer | 16551 | Company ID | |
| String | 10,001+ employees | Company Employee Count | |
|
Headquarters Location
|
Seattle, WA | ||
|
Type
|
Public Company | ||
|
Specialties
|
e-Commerce, Retail, Operations, and Internet |
Description
The Business POI Dataset contains location information of various businesses from 72+ countries and the geographic location of commercial entities (160M+ Places geocoded).
Perfect for companies interested in identifying the geographical distribution of businesses, creating maps, or building data products around specific locations. This dataset enables strategic decision-making, market analysis, and the identification of potential business opportunities or partnerships.
Historical Dataset
Access ready-made datasets tailored for your business.
One time purchase
Live Dataset
Obtain the latest snapshot of the desired dataset, scraped in real-time upon request. Your dataset will be delivered immediately after the scraping process is complete.
Subscription
Future Dataset
Subscribe to receive regular updates and gain access to the most recent information according to your subscription date requirements.
Dataset API
Leverage our API to initiate on-demand scraping based on your specific and evolving requirements.
Delivery options
Methods:
Email, API download, Webhook, Amazon S3, Google Cloud Storage, Microsoft Azure Storage, SFTP
Frequency:
Once, Daily, Weekly, Monthly, Quarterly
Format:
JSON, NDJSON, XLSX, CSV, FLAT CSV
Country Coverage
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
(47)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
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.)
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Available |
| Monthly License | Available |
| Yearly License | Available |
| Usage-based | Available |
Suitable Company Sizes
Small Business
Medium-sized Business
Enterprise
Quality
Self-reported by the provider
Success rate in real-time
Delivery
Methods
S3 Bucket
SFTP
Email
Streaming API
Frequency
secondly
minutely
hourly
daily
weekly
monthly
quarterly
yearly
real-time
on-demand
Format
.json
.csv
Use Cases
Categories
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Frequently asked questions
What is Bright Data Business Location (POI) Dataset?
The Business POI Dataset contains location information of various businesses from 72+ countries and the geographic location of commercial entities (160M+ Places geocoded).
What is Bright Data Business Location (POI) Dataset used for?
This product has 5 key use cases. Bright Data recommends using the data for Business Intelligence (BI), Employment Analytics, Corporate Development, HR Strategy, and HR Intelligence. Global businesses and organizations buy Firmographic Data from Bright Data to fuel their analytics and enrichment.
Who can use Bright Data Business Location (POI) Dataset?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Firmographic Data. Get in touch with Bright Data to see what their data can do for your business and find out which integrations they provide.
Which countries does Bright Data Business Location (POI) Dataset cover?
This product includes data covering 245 countries like USA, China, Japan, Germany, and India. Bright Data is headquartered in United States of America.
How much does Bright Data Business Location (POI) Dataset cost?
Pricing information for Bright Data Business Location (POI) Dataset is available by getting in contact with Bright Data. Connect with Bright Data to get a quote and arrange custom pricing models based on your data requirements.
How can I get Bright Data Business Location (POI) Dataset?
Businesses can buy Firmographic Data from Bright Data and get the data via S3 Bucket, SFTP, Email, and Streaming API. Depending on your data requirements and subscription budget, Bright Data can deliver this product in .json and .csv format.
What is the data quality of Bright Data Business Location (POI) Dataset?
Bright Data has reported that this product has the following quality and accuracy assurances: 97% Success rate in real-time. You can compare and assess the data quality of Bright Data using Datarade’s data marketplace. Bright Data has received 5 reviews from clients. Bright Data appears on selected Datarade top lists ranking the best data providers, including Best 6 SERP Tracking APIs for Accurate Monitoring, Best +8 Amazon Review APIs to use in 2023, and Best 6 Travel APIs to use in 2023.
What are similar products to Bright Data Business Location (POI) Dataset?
This product has 3 related products. These alternatives include Bright Data Lazada - Products Dataset, Coresignal Employee Data Company Data Global / 783M+ Records / 5 Years Of Historical Data / Updated Daily, and Top 50K Growing Companies by Employee Growth Rate: Company Data like Detailed Industry, Location - Updated for 2024. You can compare the best Firmographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.
