Bright Data | Financial Dataset

#	UniqueID	CompanyName	TradeName	Address1	Address2	PostCode	City	CityCode	Province	ProvinceCode	Region	RegionCode	Country	CountryCode	Language	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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Data Quality

97%

Success rate in real-time

Avail. Formats

.json and .csv

File

Coverage

245

Countries

[Sample] Historical Financial Data sample Bright Marketplace_Count (1)-1 (2) (1).csv

Attribute	Type	Example
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
CountryCode	String	PL
Language	String	POL
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
Company Name	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
Employees	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)
Company ID	Integer	16551	Company ID
Company size	String	10,001+ employees	Company Employee Count
Headquarters Location		Seattle, WA
Type		Public Company
Specialties		e-Commerce, Retail, Operations, and Internet

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

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.)

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

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Self-reported by the provider

97%

Success rate in real-time

Methods

Frequency

Format

Business Intelligence (BI)

Employment Analytics

Corporate Development

HR Strategy HR Intelligence

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245 countries covered

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5 years of historical data

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249 countries covered

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What is Bright Data Financial Dataset?

What is Bright Data Financial 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 Financial 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 Financial 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 Financial Dataset cost?

Pricing information for Bright Data Financial 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 Financial 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 Financial 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 +8 Amazon Review APIs to use in 2023, Best 6 Travel APIs to use in 2023, and Best 7 Company Information APIs Updated Business Data.

What are similar products to Bright Data Financial Dataset?

This Data Platform has 3 related products. These alternatives include Bright Data Lazada - Products Dataset, Coresignal Employee Data Company Data Global / 757M+ Records / 5 Years Of Historical Data / Updated Daily, and Firmographic Data Company Data 16+ Industry Segmentation Global Coverage 600M+ Contacts (Verified E-mail, Direct Dails) 20+ Attributes. 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

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Bright Data | Financial Dataset

Data Dictionary

Description

Geography

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

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Frequently asked questions

Bright Data
Get reliable and structured data from any website

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Bright Data | Financial Dataset

Data Dictionary

Description

Geography

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Bright Data Get reliable and structured data from any website

Trusted by

Bright Data
Get reliable and structured data from any website