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Bright Data | Global Financial Dataset: Real-Time & Historical Company Insights

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UniqueID
CompanyName
TradeName
Address1
Address2
PostCode
City
CityCode
Province
ProvinceCode
Region
RegionCode
Country
InternationalCode
Business Category
YearStarted
SalesVolumeLocal
CurrencyCode
SalesVolumeDollars
SalesVolumeEuros
SalesVolumeReliabilityCode
SalesVolumeReliabilityCodeDescription
FinancialHistory01UniqueID
FinancialHistory01FamilyMembers
FinancialHistory01EmployeesHere
FinancialHistory01EmployeesHereReliabilityCode
FinancialHistory01EmployeesHereReliabilityCodeDescription
FinancialHistory01EmployeesTotal
FinancialHistory01EmployeesTotalReliabilityCode
FinancialHistory01EmployeesTotalReliabilityCodeDescription
FinancialHistory01SalesVolume
FinancialHistory01Currency
FinancialHistory01SalesVolumeDollars
FinancialHistory01SalesVolumeEuros
FinancialHistory01SalesVolumeReliabilityCode
FinancialHistory01SalesVolumeReliabilityCodeDescription
FinancialHistory01YearStat
FinancialHistory01Version
FinancialHistory02UniqueID
FinancialHistory02FamilyMembers
FinancialHistory02EmployeesHere
FinancialHistory02EmployeesHereReliabilityCode
FinancialHistory02EmployeesHereReliabilityCodeDescription
FinancialHistory02EmployeesTotal
FinancialHistory02EmployeesTotalReliabilityCode
FinancialHistory02EmployeesTotalReliabilityCodeDescription
FinancialHistory02SalesVolume
FinancialHistory02Currency
FinancialHistory02SalesVolumeDollars
FinancialHistory02SalesVolumeEuros
FinancialHistory02SalesVolumeReliabilityCode
FinancialHistory02SalesVolumeReliabilityCodeDescription
FinancialHistory02YearStat
FinancialHistory02Version
FinancialHistory03UniqueID
FinancialHistory03FamilyMembers
FinancialHistory03EmployeesHere
FinancialHistory03EmployeesHereReliabilityCode
FinancialHistory03EmployeesHereReliabilityCodeDescription
FinancialHistory03EmployeesTotal
FinancialHistory03EmployeesTotalReliabilityCode
FinancialHistory03EmployeesTotalReliabilityCodeDescription
FinancialHistory03SalesVolume
FinancialHistory03Currency
FinancialHistory03SalesVolumeDollars
FinancialHistory03SalesVolumeEuros
FinancialHistory03SalesVolumeReliabilityCode
FinancialHistory03SalesVolumeReliabilityCodeDescription
FinancialHistory03YearStat
FinancialHistory03Version
FinancialHistory04UniqueID
FinancialHistory04FamilyMembers
FinancialHistory04EmployeesHere
FinancialHistory04EmployeesHereReliabilityCode
FinancialHistory04EmployeesHereReliabilityCodeDescription
FinancialHistory04EmployeesTotal
FinancialHistory04EmployeesTotalReliabilityCode
FinancialHistory04EmployeesTotalReliabilityCodeDescription
FinancialHistory04SalesVolume
FinancialHistory04Currency
FinancialHistory04SalesVolumeDollars
FinancialHistory04SalesVolumeEuros
FinancialHistory04SalesVolumeReliabilityCode
FinancialHistory04SalesVolumeReliabilityCodeDescription
FinancialHistory04YearStat
FinancialHistory04Version
FinancialHistory05UniqueID
FinancialHistory05FamilyMembers
FinancialHistory05EmployeesHere
FinancialHistory05EmployeesHereReliabilityCode
FinancialHistory05EmployeesHereReliabilityCodeDescription
FinancialHistory05EmployeesTotal
FinancialHistory05EmployeesTotalReliabilityCode
FinancialHistory05EmployeesTotalReliabilityCodeDescription
FinancialHistory05SalesVolume
FinancialHistory05Currency
FinancialHistory05SalesVolumeDollars
FinancialHistory05SalesVolumeEuros
FinancialHistory05SalesVolumeReliabilityCode
FinancialHistory05SalesVolumeReliabilityCodeDescription
FinancialHistory05YearStat
FinancialHistory05Version
FinancialHistory06UniqueID
FinancialHistory06FamilyMembers
FinancialHistory06EmployeesHere
FinancialHistory06EmployeesHereReliabilityCode
FinancialHistory06EmployeesHereReliabilityCodeDescription
FinancialHistory06EmployeesTotal
FinancialHistory06EmployeesTotalReliabilityCode
FinancialHistory06EmployeesTotalReliabilityCodeDescription
FinancialHistory06SalesVolume
FinancialHistory06Currency
FinancialHistory06SalesVolumeDollars
FinancialHistory06SalesVolumeEuros
FinancialHistory06SalesVolumeReliabilityCode
FinancialHistory06SalesVolumeReliabilityCodeDescription
FinancialHistory06YearStat
FinancialHistory06Version
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... Xxxxxxx xxxxxxx Xxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxxx xxxxxx Xxxxxxx Xxxxxxxx xxxxxxxx Xxxxx xxxxxxx Xxxxxx Xxxxxxxxxx Xxxxxxx xxxxxx xxxxxx Xxxxxx xxxxxxxxx xxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxx Xxxxxxxx Xxxxx Xxxxx Xxxxxxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxx xxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxx Xxxxx xxxxx Xxxxxx Xxxxxxx Xxxxxxxxxx xxxxx xxxxxx xxxxxx xxxxxxxx Xxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxx xxxxxxxxxx xxxxxxxx xxxxxxxxxx Xxxxxxxx xxxxxxxxxx xxxxxxx xxxxxx xxxxx Xxxxxxxxx xxxxxxxx Xxxxxx xxxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxx xxxxxxxx Xxxxx Xxxxxxx Xxxxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxxx Xxxxx Xxxxx xxxxxxxxxx Xxxxxxxxx Xxxxx Xxxxxxx xxxxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxxx xxxxx Xxxxxx xxxxxxxxx xxxxx Xxxxxxx xxxxxxx xxxxxxxxx Xxxxxx xxxxxxxxxx xxxxx Xxxxxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxxx xxxxxx xxxxxxxxx xxxxxxx Xxxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxxxx Xxxxxxxx xxxxxxx Xxxxxxxxx xxxxxxxxxx xxxxxx
Sign In To Preview Data
Volume
320M
companies
Data Quality
97%
Success rate in real-time
Avail. Formats
.json and .csv
File
Coverage
245
Countries

Data Dictionary

[Sample] Historical Financial Data sample Bright Marketplace_Count (1)-1 (2) (1).csv
Attribute Type Example Mapping
UniqueID
Float 478422544.0
CompanyName
String SENATOR SP Z O O
TradeName
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
InternationalCode
Integer 2599
Business Category
String Furniture and fixtures nec
YearStarted
Integer 2010
SalesVolumeLocal
Integer 10129369
CurrencyCode
String PLN
SalesVolumeDollars
Integer 2433095
SalesVolumeEuros
Integer 2299367
SalesVolumeReliabilityCode
Integer 0
SalesVolumeReliabilityCodeDescription
String Actual
FinancialHistory01UniqueID
Float 478422544.0
FinancialHistory01FamilyMembers
Integer 0
FinancialHistory01EmployeesHere
Integer 37
FinancialHistory01EmployeesHereReliabilityCode
Integer 0
FinancialHistory01EmployeesHereReliabilityCodeDescription
String Actual
FinancialHistory01EmployeesTotal
Integer 37
FinancialHistory01EmployeesTotalReliabilityCode
Integer 0
FinancialHistory01EmployeesTotalReliabilityCodeDescription
String Actual
FinancialHistory01SalesVolume
Integer 9371087
FinancialHistory01Currency
String PLN
FinancialHistory01SalesVolumeDollars
Integer 2413636
FinancialHistory01SalesVolumeEuros
Integer 2062670
FinancialHistory01SalesVolumeReliabilityCode
Integer 0
FinancialHistory01SalesVolumeReliabilityCodeDescription
String Actual
FinancialHistory01YearStat
Integer 2021
FinancialHistory01Version
Integer 20210826
FinancialHistory02UniqueID
Float 478422544.0
FinancialHistory02FamilyMembers
Integer 0
FinancialHistory02EmployeesHere
Integer 37
FinancialHistory02EmployeesHereReliabilityCode
Integer 0
FinancialHistory02EmployeesHereReliabilityCodeDescription
String Actual
FinancialHistory02EmployeesTotal
Integer 37
FinancialHistory02EmployeesTotalReliabilityCode
Integer 0
FinancialHistory02EmployeesTotalReliabilityCodeDescription
String Actual
FinancialHistory02SalesVolume
Integer 9842278
FinancialHistory02Currency
String PLN
FinancialHistory02SalesVolumeDollars
Integer 2600851
FinancialHistory02SalesVolumeEuros
Integer 2222662
FinancialHistory02SalesVolumeReliabilityCode
Integer 0
FinancialHistory02SalesVolumeReliabilityCodeDescription
String Actual
FinancialHistory02YearStat
Integer 2020
FinancialHistory02Version
Integer 20200528
FinancialHistory03UniqueID
Float 478422544.0
FinancialHistory03FamilyMembers
Integer 0
FinancialHistory03EmployeesHere
Integer 37
FinancialHistory03EmployeesHereReliabilityCode
Integer 0
FinancialHistory03EmployeesHereReliabilityCodeDescription
String Actual
FinancialHistory03EmployeesTotal
Integer 37
FinancialHistory03EmployeesTotalReliabilityCode
Integer 0
FinancialHistory03EmployeesTotalReliabilityCodeDescription
String Actual
FinancialHistory03SalesVolume
Integer 9842278
FinancialHistory03Currency
String PLN
FinancialHistory03SalesVolumeDollars
Integer 2600851
FinancialHistory03SalesVolumeEuros
Integer 2222662
FinancialHistory03SalesVolumeReliabilityCode
Integer 0
FinancialHistory03SalesVolumeReliabilityCodeDescription
String Actual
FinancialHistory03YearStat
Integer 2019
FinancialHistory03Version
String GENERATED
FinancialHistory04UniqueID
Float 478422544.0
FinancialHistory04FamilyMembers
Integer 0
FinancialHistory04EmployeesHere
Integer 37
FinancialHistory04EmployeesHereReliabilityCode
Integer 2
FinancialHistory04EmployeesHereReliabilityCodeDescription
String Estimated
FinancialHistory04EmployeesTotal
Integer 37
FinancialHistory04EmployeesTotalReliabilityCode
Integer 0
FinancialHistory04EmployeesTotalReliabilityCodeDescription
String Actual
FinancialHistory04SalesVolume
Integer 8567488
FinancialHistory04Currency
String PLN
FinancialHistory04SalesVolumeDollars
Integer 2160943
FinancialHistory04SalesVolumeEuros
Integer 1846721
FinancialHistory04SalesVolumeReliabilityCode
Integer 0
FinancialHistory04SalesVolumeReliabilityCodeDescription
String Actual
FinancialHistory04YearStat
Integer 2018
FinancialHistory04Version
Integer 20180130
FinancialHistory05UniqueID
Float 478422544.0
FinancialHistory05FamilyMembers
Integer 0
FinancialHistory05EmployeesHere
Integer 37
FinancialHistory05EmployeesHereReliabilityCode
Integer 2
FinancialHistory05EmployeesHereReliabilityCodeDescription
String Estimated
FinancialHistory05EmployeesTotal
Integer 37
FinancialHistory05EmployeesTotalReliabilityCode
Integer 0
FinancialHistory05EmployeesTotalReliabilityCodeDescription
String Actual
FinancialHistory05SalesVolume
Integer 8567488
FinancialHistory05Currency
String PLN
FinancialHistory05SalesVolumeDollars
Integer 2160943
FinancialHistory05SalesVolumeEuros
Integer 1846721
FinancialHistory05SalesVolumeReliabilityCode
Integer 0
FinancialHistory05SalesVolumeReliabilityCodeDescription
String Actual
FinancialHistory05YearStat
Integer 2017
FinancialHistory05Version
Integer 20170124
FinancialHistory06UniqueID
Float 478422544.0
FinancialHistory06FamilyMembers
FinancialHistory06EmployeesHere
Integer 37
FinancialHistory06EmployeesHereReliabilityCode
Integer 2
FinancialHistory06EmployeesHereReliabilityCodeDescription
String Estimated
FinancialHistory06EmployeesTotal
Integer 37
FinancialHistory06EmployeesTotalReliabilityCode
Integer 0
FinancialHistory06EmployeesTotalReliabilityCodeDescription
String Actual
FinancialHistory06SalesVolume
FinancialHistory06Currency
FinancialHistory06SalesVolumeDollars
FinancialHistory06SalesVolumeEuros
FinancialHistory06SalesVolumeReliabilityCode
FinancialHistory06SalesVolumeReliabilityCodeDescription
FinancialHistory06YearStat
Integer 2016
FinancialHistory06Version
Integer 20161025
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
Google
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 Historical Financial Dataset, covering 190+ countries, 320M+ companies, and 20+ fields per company, enables users to analyze company revenue and performance over time to understand its financial stability and predict future trends.
Hedge funds and Venture Capital firms empower investors with this dataset to evaluate investment opportunities and identify potential growth prospects in various industries. 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.)

Volume

320 million companies
20 fields per company

Pricing

Bright Data has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
97%
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

Business Intelligence (BI)
Employment Analytics
Corporate Development
HR Strategy HR Intelligence

Categories

Related Searches

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Frequently asked questions

What is Bright Data Global Financial Dataset: Real-Time & Historical Company Insights?

The Historical Financial Dataset, covering 190+ countries, 320M+ companies, and 20+ fields per company, enables users to analyze company revenue and performance over time to understand its financial stability and predict future trends.

What is Bright Data Global Financial Dataset: Real-Time & Historical Company Insights 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 Global Financial Dataset: Real-Time & Historical Company Insights?

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 Global Financial Dataset: Real-Time & Historical Company Insights 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 Global Financial Dataset: Real-Time & Historical Company Insights cost?

Pricing information for Bright Data Global Financial Dataset: Real-Time & Historical Company Insights 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 Global Financial Dataset: Real-Time & Historical Company Insights?

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 Global Financial Dataset: Real-Time & Historical Company Insights?

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 8 APIs for SEO Optimization, Best 6 SERP Tracking APIs for Accurate Monitoring, and Best +8 Web Scraping APIs to use in 2023.

What are similar products to Bright Data Global Financial Dataset: Real-Time & Historical Company Insights?

This product has 3 related products. These alternatives include Bright Data Historical Financial Dataset, Coresignal Company Financial Data Alternative Data Global / 1B+ Records / Largest Professional Network / Updated Daily, and Forager.ai - Global Job Postings Data Set 732M Records 21M Updates/Month Delivery Hourly via CSV/JSON/PostgreSQL Human Resources (HR) Data. You can compare the best Firmographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request