Coresignal | Employee Data | AI-Enriched Dataset | Global / 589+ Records / Updated Weekly
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx |
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 |
4 | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx |
5 | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx |
6 | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx |
7 | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx |
8 | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx |
9 | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx |
10 | 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 |
# | recommendation |
---|---|
1 | xxxxxxxxxx |
2 | Xxxxxxxxx |
3 | xxxxxx |
4 | xxxxxxxxxx |
5 | Xxxxx |
6 | Xxxxxx |
7 | Xxxxxxxxxx |
8 | Xxxxxx |
9 | Xxxxxxxxx |
10 | Xxxxxxxxxx |
... | xxxxxxxxx |
# | member_education |
---|---|
1 | xxxxxxxxxx |
2 | Xxxxxxxxx |
3 | xxxxxx |
4 | xxxxxxxxxx |
5 | Xxxxx |
6 | Xxxxxx |
7 | Xxxxxxxxxx |
8 | Xxxxxx |
9 | Xxxxxxxxx |
10 | Xxxxxxxxxx |
... | xxxxxxxxx |
# | 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 |
7 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
8 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
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 |
Data Dictionary
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 |
Attribute | Type | Example | Mapping |
---|---|---|---|
recommendation
|
String | “Great having worked with you on past projects.” |
Attribute | Type | Example | Mapping |
---|---|---|---|
member_education
|
String | {"title":"Universidad De Murcia","major":"Diplomado en Ci... |
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 |
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
Country Coverage
Volume
598 million | records |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
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.