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Coresignal | B2B Leads Data | Company Data | Global / 71M+ Records / Largest Professional Network / Updated Daily

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id
url
hash
name
website
size
industry
description
followers
founded
headquarters_city
headquarters_country
headquarters_state
headquarters_street1
headquarters_street2
headquarters_zip
logo_url
created
last_updated
last_response_code
type
headquarters_new_address
employees_count
headquarters_country_restored
headquarters_country_parsed
company_shorthand_name
company_shorthand_name_hash
canonical_url
canonical_hash
canonical_shorthand_name
canonical_shorthand_name_hash
deleted
last_updated_ux
source_id
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id
company_id
viewed_company_url
viewed_company_id
created
last_updated
deleted
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id
company_id
affiliated_company_url
affiliated_company_id
created
last_updated
deleted
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx
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id
company_id
created
last_updated
deleted
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx
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#
id
name
hash
cb_url
created
last_updated
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx
2 Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx
3 xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx
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10 xxxxxxxxx Xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx
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id
company_id
investor_id
round_id
created
last_updated
deleted
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx
2 Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx
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id
company_id
last_round_investors_count
total_rounds_count
last_round_type
last_round_date
last_round_money_raised
cb_url
created
last_updated
deleted
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx
2 Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx
3 xxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx
4 xxxxxxxxxx Xxxxxx Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx
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10 xxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx xxxxx xxxxxxxx xxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxx
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id
company_id
location_address
is_primary
created
last_updated
deleted
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx
2 Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx
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id
company_id
url
created
last_updated
deleted
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx
2 Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx
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10 xxxxxxxxx Xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx
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id
company_id
specialty
created
last_updated
deleted
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx
2 Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx
3 xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx
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9 Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx
10 xxxxxxxxx Xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx
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id
company_id
ticker
exchange
created
last_updated
deleted
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx
2 Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx
3 xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx
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9 xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxxxxx
10 Xxxxxx Xxxxxxxxx xxxxx xxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx
... Xxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx
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#
id
company_id
urn
followers
date
description
reactions_count
comments_count
reshared_post_author
reshared_post_author_headline
reshared_post_description
reshared_post_followers
reshared_post_date
last_updated
deleted
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
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Volume
71.1M
company records
Avail. Formats
.json and .csv
File
Coverage
249
Countries
History
5
years

Data Dictionary

[Sample] company.csv
Attribute Type Example Mapping
id
Integer 9053436
url
String https://www.professionalnetwork.com/company/asics-america
hash
String 106d6f2e215320983f492e44abd83ed7
name
String ASICS America Corporation
website
String http://www.asics.com
size
String 1,001-5,000 employees
industry
String Retail
description
String At ASICS, our Sound Mind, Sound Body philosophy is more t...
followers
Integer 47268
founded
Integer 1977
headquarters_city
String NULL
headquarters_country
String NULL
headquarters_state
String NULL
headquarters_street1
String NULL
headquarters_street2
String NULL
headquarters_zip
String NULL
logo_url
String https://media.licdn.com/dms/image/C560BAQHr612k6cmCuw/com...
created
DateTime 2016-06-25T16:18:22+00:00
last_updated
DateTime 2024-02-21T21:16:22+00:00
last_response_code
Integer 200
type
String Privately Held
headquarters_new_address
String Irvine, California
employees_count
Integer 848
headquarters_country_restored
String United States
headquarters_country_parsed
String United States
company_shorthand_name
String asics-america
company_shorthand_name_hash
String ee7ac43d6c13e7a504ac103b0abdabb8
canonical_url
String https://www.professionalnetwork.com/company/asics-america
canonical_hash
String 106d6f2e215320983f492e44abd83ed7
canonical_shorthand_name
String asics-america
canonical_shorthand_name_hash
String ee7ac43d6c13e7a504ac103b0abdabb8
deleted
Integer 0
last_updated_ux
Integer 1708550181
source_id
Integer 270059
[Sample] company_also_viewed.csv
Attribute Type Example Mapping
id
Integer 34367991
company_id
Integer 9053436
viewed_company_url
String https://www.professionalnetwork.com/company/asics
viewed_company_id
String NULL
created
DateTime 2016-06-25T16:18:22+00:00
last_updated
DateTime 2019-10-16T13:20:09+00:00
deleted
Integer 1
[Sample] company_affiliated.csv
Attribute Type Example Mapping
id
Integer 812997
company_id
Integer 9053436
affiliated_company_url
String https://www.professionalnetwork.com/company/onitsuka-tige...
affiliated_company_id
Integer 21834095
created
DateTime 2020-02-25T23:29:25+00:00
last_updated
String 2022-07-16 9:36:36
deleted
Integer 1
[Sample] company_featured_employees.csv
Attribute Type Example Mapping
id
Integer 132019
company_id
Integer 9053436
created
DateTime 2019-10-16T13:20:09+00:00
last_updated
DateTime 2022-05-02T12:44:01+00:00
deleted
Integer 1
[Sample] company_investors_list.csv
Attribute Type Example Mapping
id
Integer 2198
name
String TEDCO
hash
String 50938b4267a61acd7fae1f32f2957a20
cb_url
String https://www.example.com/organization/maryland-technology-...
created
DateTime 2020-09-07T20:02:42+00:00
last_updated
DateTime 2022-02-07T13:55:31+00:00
[Sample] company_featured_investors.csv
Attribute Type Example Mapping
id
Integer 2430362
company_id
Integer 5382996
investor_id
Integer 2198
round_id
Integer 5355469
created
DateTime 2023-08-14T17:42:34+00:00
last_updated
DateTime 2023-09-05T13:29:19+00:00
deleted
Integer 1
[Sample] company_funding_rounds.csv
Attribute Type Example Mapping
id
Integer 681480
company_id
Integer 6361931
last_round_investors_count
Integer 0
total_rounds_count
Integer 1
last_round_type
String Private equity
last_round_date
String 2019-10-09 0:00:00
last_round_money_raised
String NULL
cb_url
String https://www.example.com/funding_round/erewhon-private-equ...
created
DateTime 2021-03-13T12:15:48+00:00
last_updated
DateTime 2021-04-25T19:30:51+00:00
deleted
Integer 1
[Sample] company_locations.csv
Attribute Type Example Mapping
id
Integer 51193
company_id
Integer 9053436
location_address
String 80 Technology Drive; Irvine, CA 92618, US
is_primary
Integer 1
created
DateTime 2019-10-16T13:20:09+00:00
last_updated
DateTime 2023-08-10T16:03:20+00:00
deleted
Integer 1
[Sample] company_similar.csv
Attribute Type Example Mapping
id
Integer 174373
company_id
Integer 9053436
url
String https://www.professionalnetwork.com/company/asics
created
DateTime 2019-10-16T13:20:09+00:00
last_updated
String 2020-12-15 9:26:25
deleted
Integer 1
[Sample] company_specialties.csv
Attribute Type Example Mapping
id
Integer 106843338
company_id
Integer 468839
specialty
String Thermal processing
created
DateTime 2022-08-11T21:27:32+00:00
last_updated
DateTime 2024-02-16T18:04:29+00:00
deleted
Integer 0
[Sample] company_stock_info.csv
Attribute Type Example Mapping
id
Integer 23840
company_id
Integer 111371
ticker
String OTCM
exchange
String BEBE
created
DateTime 2022-10-01T11:52:42+00:00
last_updated
DateTime 2022-11-17T20:17:14+00:00
deleted
Integer 1
[Sample] company_updates.csv
Attribute Type Example Mapping
id
Integer 52905668
company_id
Integer 9053436
urn
String urn:li:activity:6937772575657713665
followers
Integer 45317
date
String 7mo
description
String Happy #GlobalRunningDay! Today we are kicking off the #AS...
reactions_count
Integer 249
comments_count
Integer 2
reshared_post_author
String NULL
reshared_post_author_headline
String NULL
reshared_post_description
String NULL
reshared_post_followers
String NULL
reshared_post_date
String NULL
last_updated
DateTime 2023-01-23T17:21:30+00:00
deleted
Integer 1
Product Attributes
Attribute Type Example Mapping
company_name
String Real Estate Company
industry
String Customer Service, Commercial Real Estate, Real Estate, Re...
name
String IT Company
type
String For profit
founded
String 2017
size
String 5945; 501 to 1000
revenue
String $2 to $5 billion (USD)

Description

B2B Leads Data, or Company Data, offers 71M+ business records worldwide, collected from the largest professional network. This dataset is updated daily with 5 years of historical data. While tailored for lead generation, it will also help with market analysis and sales prospecting.
Our B2B lead dataset includes such data points as company name, location, headcount, industry, and size, among others. It offers extensive fresh and historical data, including even companies that operate in stealth mode. For lead generation With millions of companies from all over the world, B2B Leads Data helps you filter potential clients based on custom criteria and speed up the conversion process. Use cases 1. Filter potential clients according to location, size, and other criteria 2. Enrich your existing database 3. Improve conversion rates 4. Use predictive models to identify potential leads 5. Group your leads in segments for more accurate targeting For market and business analysis Our B2B Leads Data gives information about millions of companies, allowing you to find your competitors and see their weak and strong points. Use cases 1. Pinpoint your competitors 2. Learn about your competitors' size, headcount, and revenue 3. Prepare a data-driven plan for the next quarter For Investors We recommend B2B Leads Data for investors to discover and evaluate businesses with the highest potential. Gain strategic business insights, enhance decision-making, and maintain algorithms that signal investment opportunities with Coresignal’s global B2B Leads Data. Use cases 1. Screen startups and industries showing early signs of growth 2. Identify companies hungry for the next investment 3. Check if a startup is about to reach the next maturity phase 4. Identify and predict a startup's potential at the founding moment 5. Choose companies that fit you in terms of size and headcount For sales prospecting B2B Leads Data saves time your employees would otherwise use it to manually find potential clients and choose the best prospects. Use cases 1. Make a short list of the top prospects 2. Define which companies are large or small enough to buy your product 3. Based on the revenue, determine which companies are ready to convert 4. Sort the companies by their distance from your warehouse to draw a line where selling won't result in satisfactory profit

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 (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
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.)

History

5 years of historical data

Volume

71.1 million company records

Pricing

Free sample available
License Starts at
One-off purchase
$1,000 / purchase
Monthly License Available
Yearly License Available
Usage-based Available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
SFTP
Email
REST API
Feed API
Frequency
daily
monthly
quarterly
real-time
on-demand
Format
.json
.csv

Use Cases

Categories

Related Searches

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Frequently asked questions

What is Coresignal B2B Leads Data Company Data Global / 71M+ Records / Largest Professional Network / Updated Daily?

B2B Leads Data, or Company Data, offers 71M+ business records worldwide, collected from the largest professional network. This dataset is updated daily with 5 years of historical data. While tailored for lead generation, it will also help with market analysis and sales prospecting.

What is Coresignal B2B Leads Data Company Data Global / 71M+ Records / Largest Professional Network / Updated Daily used for?

This product has 5 key use cases. Coresignal recommends using the data for Market Research, B2B Lead Retargeting, Company Analysis, B2B Data Enrichment, and B2B Lead Generation. Global businesses and organizations buy B2B Leads Data from Coresignal to fuel their analytics and enrichment.

Who can use Coresignal B2B Leads Data Company Data Global / 71M+ Records / Largest Professional Network / Updated Daily?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for B2B Leads Data. Get in touch with Coresignal to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Coresignal B2B Leads Data Company Data Global / 71M+ Records / Largest Professional Network / Updated Daily go?

This product has 5 years of historical coverage. It can be delivered on a daily, monthly, quarterly, real-time, and on-demand basis.

Which countries does Coresignal B2B Leads Data Company Data Global / 71M+ Records / Largest Professional Network / Updated Daily cover?

This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Coresignal is headquartered in United States of America.

How much does Coresignal B2B Leads Data Company Data Global / 71M+ Records / Largest Professional Network / Updated Daily cost?

Pricing for Coresignal B2B Leads Data Company Data Global / 71M+ Records / Largest Professional Network / Updated Daily starts at USD1,000 per purchase. Connect with Coresignal to get a quote and arrange custom pricing models based on your data requirements.

How can I get Coresignal B2B Leads Data Company Data Global / 71M+ Records / Largest Professional Network / Updated Daily?

Businesses can buy B2B Leads Data from Coresignal and get the data via S3 Bucket, SFTP, Email, REST API, and Feed API. Depending on your data requirements and subscription budget, Coresignal can deliver this product in .json and .csv format.

What is the data quality of Coresignal B2B Leads Data Company Data Global / 71M+ Records / Largest Professional Network / Updated Daily?

You can compare and assess the data quality of Coresignal using Datarade’s data marketplace. Coresignal has received 12 reviews from clients. Coresignal appears on selected Datarade top lists ranking the best data providers, including Best +8 Finance APIs to use in 2023, Best +8 Web Scraping APIs to use in 2023, and Top 10 Fintech APIs with Company Data.

What are similar products to Coresignal B2B Leads Data Company Data Global / 71M+ Records / Largest Professional Network / Updated Daily?

This product has 3 related products. These alternatives include Coresignal Business Location Data Company Data Global / 71M+ Records / Largest Professional Network / Updated Daily, Success.ai B2B Email Data – 170M Global Work Emails & Phone Numbers Best Price Guarantee, and PredictLeads: B2B Data Job Postings Data API & Flat File Global Coverage Sourced From Company Websites 166+ Million Records Since 2018. You can compare the best B2B Leads Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at
$1,000 / purchase
License Starts at
One-off purchase
$1,000 / purchase
Monthly License Available
Yearly License Available
Usage-based Available