Coresignal | Company Financial Data | Alternative Data | Global / 1B+ Records / Largest Professional Network / Updated Daily
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx |
2 | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx |
3 | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx |
4 | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx |
5 | 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 | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx |
6 | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx |
7 | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx |
8 | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx |
9 | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx |
10 | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx |
... | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx |
# | id |
full_name |
first_name |
last_name |
headline |
profile_url |
location |
industry |
summary |
updated_at |
checked_at |
services |
deleted |
country |
recommendations_count |
connections_count |
follower_count |
experience_count |
shorthand_name |
canonical_shorthand_name |
member_hash_id |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx |
2 | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
3 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
4 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
5 | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx |
6 | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx |
7 | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx |
8 | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
9 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx |
10 | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx |
... | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx |
# | id |
created |
last_updated |
time_posted |
title |
description |
seniority |
employment_type |
location |
url |
hash |
company_id |
company_name |
company_url |
external_url |
deleted |
application_active |
salary |
applicants_count |
professionalnetwork_job_id |
country |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx |
2 | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
3 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
4 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
5 | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx |
6 | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx |
7 | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx |
8 | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
9 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx |
10 | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx |
... | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx |
# | id |
created |
last_updated |
function |
hash |
---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx |
2 | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx |
3 | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx |
4 | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx |
5 | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx |
6 | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx |
7 | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx |
8 | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
9 | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx |
10 | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx |
... | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx |
# | id |
job_id |
function_id |
deleted |
created |
last_updated |
---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx |
2 | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx |
3 | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx |
4 | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx |
5 | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx |
6 | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
7 | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
8 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx |
9 | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx |
10 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
... | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx |
# | id |
job_id |
industry_id |
deleted |
created |
last_updated |
---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx |
2 | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx |
3 | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx |
4 | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx |
5 | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx |
6 | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
7 | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
8 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx |
9 | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx |
10 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
... | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx |
# | id |
created |
last_updated |
industry |
hash |
---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx |
2 | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx |
3 | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx |
4 | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx |
5 | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx |
6 | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx |
7 | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx |
8 | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
9 | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx |
10 | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx |
... | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
id
|
Integer | 11839 | |
url
|
String | https://www.professionalnetwork.com/company/beneficial-life | |
hash
|
String | 68f5b301a400bf5a06619aa6c9838cbe | |
name
|
String | Beneficial Life | |
website
|
String | NULL | |
size
|
String | NULL | |
industry
|
String | Insurance | |
description
|
String | NULL | |
followers
|
Integer | 61 | |
founded
|
String | NULL | |
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://static.licdn.com/aero-v1/sc/h/cs8pjfgyw96g44ln9r7... | |
created
|
DateTime | 2016-06-17T15:33:08+00:00 | |
last_updated
|
DateTime | 2023-07-09T21:59:18+00:00 | |
last_response_code
|
Integer | 200 | |
type
|
String | NULL | |
headquarters_new_address
|
String | Marietta, Georgia | |
employees_count
|
Integer | 137 | |
headquarters_country_restored
|
String | United States | |
headquarters_country_parsed
|
String | United States | |
company_shorthand_name
|
String | beneficial-life | |
company_shorthand_name_hash
|
String | 2689066466d9fdc0e0675b1df650d0e2 | |
canonical_url
|
String | https://www.professionalnetwork.com/company/beneficial-life | |
canonical_hash
|
String | 68f5b301a400bf5a06619aa6c9838cbe | |
canonical_shorthand_name
|
String | beneficial-life | |
canonical_shorthand_name_hash
|
String | 2689066466d9fdc0e0675b1df650d0e2 | |
deleted
|
Integer | 0 | |
last_updated_ux
|
Integer | 1688939957 | |
source_id
|
Integer | 9649341 |
Attribute | Type | Example | Mapping |
---|---|---|---|
id
|
Integer | 230028962 | |
full_name
|
String | ||
first_name
|
String | ||
last_name
|
String | ||
headline
|
String | Grievance Handling, Organizing, Professional Issues Devel... | |
profile_url
|
String | https://www.professionalnetwork/shorthandname-11111111 | |
location
|
String | Washington, District of Columbia, United States | |
industry
|
String | Legal Services | |
summary
|
String | NULL | |
updated_at
|
String | 2023-06-18 6:41:28 | |
checked_at
|
String | 2024-02-19 1:35:58 | |
services
|
String | NULL | |
deleted
|
Integer | 0 | |
country
|
String | United States | |
recommendations_count
|
Integer | 0 | |
connections_count
|
Integer | 482 | |
follower_count
|
String | NULL | |
experience_count
|
Integer | 0 | |
shorthand_name
|
String | shorthandname-11111111 | |
canonical_shorthand_name
|
String | shorthandname-11111111 | |
member_hash_id
|
String | 5fa7e47a876760e5a172ed775cbe23d5 |
Attribute | Type | Example | Mapping |
---|---|---|---|
id
|
Integer | 83939952 | |
created
|
DateTime | 2022-08-31T21:57:11+00:00 | |
last_updated
|
DateTime | 2023-06-27T18:43:17+00:00 | |
time_posted
|
String | 2 weeks ago | |
title
|
String | Marketing Consultant | |
description
|
String | WUTV is looking for an enthusiastic, motivated Marketing ... | |
seniority
|
String | Mid-Senior level | |
employment_type
|
String | Full-time | |
location
|
String | Buffalo, NY | |
url
|
String | https://www.professionalnetwork.com/jobs/view/marketing-c... | |
hash
|
String | 90224ec48c99d589b9373f42b819065e | |
company_id
|
String | NULL | |
company_name
|
String | Sinclair Inc. | |
company_url
|
String | https://www.professionalnetwork.com/company/sinclair-inc. | |
external_url
|
String | https://edyy.fa.us2.oraclecloud.com/hcmUI/CandidateExperi... | |
deleted
|
Integer | 0 | |
application_active
|
Integer | 1 | |
salary
|
String | NULL | |
applicants_count
|
String | 107 applicants | |
professionalnetwork_job_id
|
Integer | 3247407644 | |
country
|
String | United States |
Attribute | Type | Example | Mapping |
---|---|---|---|
id
|
Integer | 12183 | |
created
|
DateTime | 2022-07-05T06:45:31+00:00 | |
last_updated
|
DateTime | 2022-07-05T06:45:31+00:00 | |
function
|
String | Marketing and Sales | |
hash
|
String | 334ed70fe1f4250702d862b2c9e57296 |
Attribute | Type | Example | Mapping |
---|---|---|---|
id
|
Integer | 40440056 | |
job_id
|
Integer | 83939952 | |
function_id
|
Integer | 12183 | |
deleted
|
Integer | 0 | |
created
|
DateTime | 2022-08-31T21:57:11+00:00 | |
last_updated
|
DateTime | 2022-08-31T21:57:11+00:00 |
Attribute | Type | Example | Mapping |
---|---|---|---|
id
|
Integer | 52365392 | |
job_id
|
Integer | 83939952 | |
industry_id
|
Integer | 770 | |
deleted
|
Integer | 0 | |
created
|
DateTime | 2022-08-31T21:57:11+00:00 | |
last_updated
|
DateTime | 2022-08-31T21:57:11+00:00 |
Attribute | Type | Example | Mapping |
---|---|---|---|
id
|
Integer | 770 | |
created
|
DateTime | 2022-07-05T09:31:48+00:00 | |
last_updated
|
DateTime | 2022-07-05T09:31:48+00:00 | |
industry
|
String | Broadcast Media Production and Distribution | |
hash
|
String | 0c18c0db138fbb7b48073cd3fb14a6f8 |
Attribute | Type | Example | Mapping |
---|---|---|---|
title
|
String | Realtor | |
company_name
|
String | Real Estate Company | |
date_from
|
Date | Jan 2021 | |
date_to
|
Date | null | |
services
|
String | Customer Service, Commercial Real Estate, Real Estate, Re... | |
updated_at
|
DateTime | 2023-01-21T07:31:50.992915Z | |
name
|
String | IT Company | |
size
|
String | 1,001-5,000 employees | |
industry
|
String | Information Technology & Services | |
description
|
String | The go-to tool for data-driven startups. | |
last_updated
|
DateTime | 2023-01-09 18:08:29 |
Description
Geography
History
Volume
70 million | company records |
703 million | employee records |
243 million | job postings records |
Pricing
License | Starts at |
---|---|
One-off purchase |
$1,250 / purchase |
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 Company Financial Data Alternative Data Global / 1B+ Records / Largest Professional Network / Updated Daily?
This Alternative Data dataset consists of 3 separate ones, namely Employee Data (703M+), Company Data (70M+), and Job Postings Data (243M+). Get fresh, high-quality data from the largest professional network. Records are updated and added daily, and you can access 5+ years of historical data.
What is Coresignal Company Financial Data Alternative Data Global / 1B+ Records / Largest Professional Network / Updated Daily used for?
This product has 5 key use cases. Coresignal recommends using the data for Market Research, Alternative Investment, Company Analysis, HR Analytics, and B2B Data Enrichment. Global businesses and organizations buy Alternative Data from Coresignal to fuel their analytics and enrichment.
Who can use Coresignal Company Financial Data Alternative Data Global / 1B+ Records / Largest Professional Network / Updated Daily?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Alternative 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 Company Financial Data Alternative Data Global / 1B+ Records / Largest Professional Network / Updated Daily go?
This Tabular Data 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 Company Financial Data Alternative Data Global / 1B+ 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 Company Financial Data Alternative Data Global / 1B+ Records / Largest Professional Network / Updated Daily cost?
Pricing for Coresignal Company Financial Data Alternative Data Global / 1B+ Records / Largest Professional Network / Updated Daily starts at USD1,250 per purchase. Connect with Coresignal to get a quote and arrange custom pricing models based on your data requirements.
How can I get Coresignal Company Financial Data Alternative Data Global / 1B+ Records / Largest Professional Network / Updated Daily?
Businesses can buy Alternative Data from Coresignal and get the data via S3 Bucket, SFTP, Email, UI Export, 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 Company Financial Data Alternative Data Global / 1B+ 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 Web Scraping APIs to use in 2023, Top 10 Fintech APIs to use in 2023, and Best +8 Finance APIs to use in 2023.
What are similar products to Coresignal Company Financial Data Alternative Data Global / 1B+ Records / Largest Professional Network / Updated Daily?
This Tabular Data has 3 related products. These alternatives include Bright Data Global Anti-Money Laundering Sanctions List, Coresignal Market Research Data Employee Data & Company Data Global / 773M+ Records / Largest Professional Network / Updated Daily, and Forager.ai - Company Funding Data 61M Company Data Records Refreshed 2x/Mo 60M Updates/Mo Delivery Hourly via CSV/JSON/PostgreSQL DB Delivery. You can compare the best Alternative Data providers and products via Datarade’s data marketplace and get the right data for your use case.