Coresignal | Employee Data | AI-Enriched Dataset | Global / 589+ Records / Updated Weekly product image in hero

Coresignal | Employee Data | AI-Enriched Dataset | Global / 589+ Records / Updated Weekly

Coresignal
4.8(12)Badge iconVerified Data Provider
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member_id
member_description
company_id
member_job_title
is_decision_maker
member_job_description
member_recommendations_count
member_connections_count
member_location_raw_address
member_location_country
member_location_regions
member_last_updated
member_is_deleted
member_department
member_subdepartment
member_management_level
is_working
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2 xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx
3 Xxxxxx Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx Xxxxx Xxxxxxx xxxxxx Xxxxxxxx Xxxxxxx Xxxxx xxxxxx
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... Xxxxx Xxxxxxxxx xxxxxxxxxx xxxxxx xxxxxxxxx xxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxxx
Sign In To Preview Data
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recommendation
1 xxxxxxxxxx
2 Xxxxxxxxx
3 xxxxxx
4 xxxxxxxxxx
5 Xxxxx
6 Xxxxxx
7 Xxxxxxxxxx
8 Xxxxxx
9 Xxxxxxxxx
10 Xxxxxxxxxx
... xxxxxxxxx
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member_education
1 xxxxxxxxxx
2 Xxxxxxxxx
3 xxxxxx
4 xxxxxxxxxx
5 Xxxxx
6 Xxxxxx
7 Xxxxxxxxxx
8 Xxxxxx
9 Xxxxxxxxx
10 Xxxxxxxxxx
... xxxxxxxxx
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title
member_websites_professionalnetwork
description
order_in_profile
company_id
company_name
date_from
date_to
duration
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx
2 Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx
3 Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxx
4 xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx
5 xxxxxx xxxxxxx xxxxxxx Xxxxx xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx Xxxxx
6 Xxxxxxx xxxxxx Xxxxxxxx Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx
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9 xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxxx xxxxx Xxxxxxx xxxxxxx
10 Xxxxx xxxxxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxx xxxxxx Xxxxxxxxx xxxxx
... Xxxxxxxxxx xxxxxx xxxxx xxxxxxxx Xxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxx
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Volume
598M
records
Avail. Formats
.json and .csv
File
Coverage
249
Countries

Data Dictionary

[Sample] clean_employee_data.csv
Attribute Type Example Mapping
member_id
Integer 375644622
member_description
String Dedicated Real Estate professional responsible for listin...
company_id
Integer 12424886
member_job_title
String Licensed Real Estate Salesperson
is_decision_maker
Boolean f
member_job_description
String Focused on the delivering expertise in identifying invest...
member_recommendations_count
Integer 0
member_connections_count
Integer 136
member_location_raw_address
String Locust Valley, New York, United States
member_location_country
String United States
member_location_regions
String [Northern America, Northern America, AMER]
member_last_updated
DateTime 2023-11-08T00:00:00+00:00
member_is_deleted
Boolean f
member_department
String Sales
member_subdepartment
String Real Estate Sales
member_management_level
String Other
is_working
Integer 1
[Sample] clean_employee_data_recommendations.csv
Attribute Type Example Mapping
recommendation
String “Great having worked with you on past projects.”
[Sample] clean_employee_data_education.csv
Attribute Type Example Mapping
member_education
String {"title":"Universidad De Murcia","major":"Diplomado en Ci...
[Sample] clean_employee_data_experience.csv
Attribute Type Example Mapping
title
String Marketing Director
member_websites_professionalnetwork
String https://www.professionalnetwork.com/membershorthandname
description
String Immediately tasked with rebranding brochures and material...
order_in_profile
Integer 3
company_id
String NULL
company_name
String Company Name
date_from
DateTime 2023-02-01T00:00:00+00:00
date_to
DateTime 2023-03-01T00:00:00+00:00
duration
String 2 months
Product Attributes
Attribute Type Example Mapping
member_id
Integer 132456
member_description
String 5 years of experience introducing new products into the t...
member_job_title
String Chief Product Officer
is_working
Integer 1
member_management_level
String C-level
company_name
String Company Name
data_from
Date 2022-10-01
data_to
Date 2023-11-31
member_location_country
String France
member_last_updated
DateTime 2024-01-30 09:01:22

Description

Clean Data is an excellent solution for companies with limited information engineering capabilities and those who want to reduce time to value. Dataset consists of Clean Employee Data, 589M+ records in total.
Our Clean Data is a refined version of our datasets, consisting of 589M+ records. It’s an excellent source of Employee Data for companies with limited data engineering capabilities and those who want to reduce their time to value. You get filtered, cleaned, unified, and standardized Employee Data. After cleaning, this data is also enriched by leveraging a carefully instructed large language model (LLM). AI-powered data enrichment offers more accurate information in key data fields, such as employee resumes. It also produces over 20 additional data points that are indispensable to B2B businesses. Enhancing and highlighting the most important information in web data contributes to quicker time to value, making Clean Data processing much faster and easier. For your convenience, you can choose from multiple Clean Data formats (Parquet, JSONL, or CSV) and select a suitable delivery frequency (quarterly, monthly, or weekly). Coresignal is a leading public Employee Data provider in the web data sphere with an extensive focus on Firmographic Data and public employee profiles. More than 3B data records in different categories enable companies to build data-driven products and generate actionable insights. Coresignal is exceptional in terms of data freshness, with 890M+ records updated monthly for unprecedented accuracy and relevance.

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.)

Volume

598 million records

Pricing

Free sample available
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

Delivery

Methods
S3 Bucket
SFTP
Email
REST API
Frequency
weekly
monthly
quarterly
Format
.json
.csv

Use Cases

Lead Generation
Machine Learning (ML)
Venture Capital (VC)
Human Resources (HR)
B2B Sales

Categories

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Frequently asked questions

What is Coresignal Employee Data AI-Enriched Dataset Global / 589+ Records / Updated Weekly?

Clean Data is an excellent solution for companies with limited information engineering capabilities and those who want to reduce time to value. Dataset consists of Clean Employee Data, 589M+ records in total.

What is Coresignal Employee Data AI-Enriched Dataset Global / 589+ Records / Updated Weekly used for?

This product has 5 key use cases. Coresignal recommends using the data for Lead Generation, Machine Learning (ML), Venture Capital (VC), Human Resources (HR), and B2B Sales. Global businesses and organizations buy Company Data from Coresignal to fuel their analytics and enrichment.

Who can use Coresignal Employee Data AI-Enriched Dataset Global / 589+ Records / Updated Weekly?

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

Which countries does Coresignal Employee Data AI-Enriched Dataset Global / 589+ Records / Updated Weekly 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 Employee Data AI-Enriched Dataset Global / 589+ Records / Updated Weekly cost?

Pricing information for Coresignal Employee Data AI-Enriched Dataset Global / 589+ Records / Updated Weekly is available by getting in contact with Coresignal. Connect with Coresignal to get a quote and arrange custom pricing models based on your data requirements.

How can I get Coresignal Employee Data AI-Enriched Dataset Global / 589+ Records / Updated Weekly?

Businesses can buy Company Data from Coresignal and get the data via S3 Bucket, SFTP, Email, and REST 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 Employee Data AI-Enriched Dataset Global / 589+ Records / Updated Weekly?

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 Employee Data AI-Enriched Dataset Global / 589+ Records / Updated Weekly?

This product has 3 related products. These alternatives include Coresignal Clean Data Company Data AI-Enriched Datasets Global / 35M+ Records / Updated Weekly, RevenueBase AI/ML Model Data 15 Million Global Companies, and Forager.ai- Company Funding Data 61M Global Company Data Records Bi-Weekly Updates Historical Coverage Hourly Delivery CSV, JSON, PostgreSQL. You can compare the best Company Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request
License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Available