Coresignal | Clean Data | Company Data | AI-Enriched Datasets | Global / 35M+ Records / Updated Weekly
# | company_id |
company_hash |
company_canonical_shorthand_name_hash |
company_name |
company_type |
company_founded |
company_followers |
company_websites_main_original |
company_websites_main |
company_websites_facebook |
company_websites_twitter |
company_websites_professionalnetwork |
company_size_range |
company_size_employees_count |
company_industry |
company_description |
company_location_hq_raw_address |
company_location_hq_country |
company_location_hq_regions |
company_last_updated |
company_logo |
company_specialities |
company_ticker |
expired_domain |
unique_domain |
unique_website |
company_enriched_summary |
company_enriched_b2b |
company_enriched_category |
metadata_title |
metadata_description |
professionalnetwork_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 |
2 | Xxxxxxxxx | xxxxxxxxxx | 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 |
3 | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | 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 |
4 | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | 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 |
5 | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | 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 |
6 | 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 | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx |
7 | 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 |
8 | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx |
9 | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx |
10 | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | 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 |
# | last_round_investors_count |
total_rounds_count |
last_round_type |
last_round_date |
last_round_money_raised |
cb_url |
---|---|---|---|---|---|---|
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 |
# | company_enriched_keywords |
---|---|
1 | xxxxxxxxxx |
2 | Xxxxxxxxx |
3 | xxxxxx |
4 | xxxxxxxxxx |
5 | Xxxxx |
6 | Xxxxxx |
7 | Xxxxxxxxxx |
8 | Xxxxxx |
9 | Xxxxxxxxx |
10 | Xxxxxxxxxx |
... | xxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
company_id
|
Integer | 88681662 | |
company_hash
|
String | 6d14639747a2ec0bff509e63688f2983 | |
company_canonical_shorthand_name_hash
|
String | 10b3636205ea455ecd79be58db398f78 | |
company_name
|
String | CSL Vifor | |
company_type
|
String | Public Company | |
company_founded
|
String | NULL | |
company_followers
|
Integer | 85874 | |
company_websites_main_original
|
String | https://www.csl.com/ | |
company_websites_main
|
String | NULL | |
company_websites_facebook
|
String | NULL | |
company_websites_twitter
|
String | NULL | |
company_websites_professionalnetwork
|
String | https://www.professionalnetwork.com/company/vifor-pharma | |
company_size_range
|
String | 10,001+ employees | |
company_size_employees_count
|
Integer | 1970 | |
company_industry
|
String | Pharmaceutical Manufacturing | |
company_description
|
String | For all jobs, information and content please follow the C... | |
company_location_hq_raw_address
|
String | St. Gallen, Switzerland | |
company_location_hq_country
|
String | Switzerland | |
company_location_hq_regions
|
String | [Europe, Western Europe, EMEA] | |
company_last_updated
|
DateTime | 2024-01-25T00:00:00+00:00 | |
company_logo
|
String | /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFB... | |
company_specialities
|
String | Iron Deficiency, Nephrology, Cardio-Renal therapies | |
company_ticker
|
String | NULL | |
expired_domain
|
Integer | 0 | |
unique_domain
|
Integer | 0 | |
unique_website
|
Integer | 0 | |
company_enriched_summary
|
String | Vifor Pharma is a global leader in iron deficiency and ir... | |
company_enriched_b2b
|
Integer | 0 | |
company_enriched_category
|
String | Pharmaceuticals | |
metadata_title
|
String | Home | |
metadata_description
|
String | We are a global leader in iron deficiency and iron defici... | |
professionalnetwork_source_id
|
Integer | 263528 |
Attribute | Type | Example | Mapping |
---|---|---|---|
last_round_investors_count
|
Integer | 1 | |
total_rounds_count
|
Integer | 1 | |
last_round_type
|
String | Seed | |
last_round_date
|
DateTime | 2023-07-06T00:00:00+00:00 | |
last_round_money_raised
|
Integer | 17000000 | |
cb_url
|
String | https://www.example.com |
Attribute | Type | Example | Mapping |
---|---|---|---|
company_enriched_keywords
|
String | app |
Attribute | Type | Example | Mapping |
---|---|---|---|
company_name
|
String | Recruitment Company | |
company_location_hq_country
|
String | France | |
company_industry
|
String | Staffing and Recruiting | |
company_size_range
|
String | 501-1000 employees | |
company_description
|
String | Multinational staffing and recruiting company | |
company_enriched_summary
|
String | Recruitment Company offers staffing, recruitment, and out... | |
company_specialties
|
String | Outplacements & Trainings | |
company_followers
|
Integer | 805 | |
company_enriched_b2b
|
Boolean | true | |
company_last_updated
|
Date | 2023-08-13 |
Description
Country Coverage
Volume
35 | 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 Clean Data Company Data AI-Enriched Datasets Global / 35M+ Records / Updated Weekly?
Clean data is an excellent data solution for companies with limited data engineering capabilities and those who want to reduce time to value. Dataset consists of company data, 35M+ records in total.
What is Coresignal Clean Data Company Data AI-Enriched Datasets Global / 35M+ 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 Clean Data Company Data AI-Enriched Datasets Global / 35M+ 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 Clean Data Company Data AI-Enriched Datasets Global / 35M+ Records / Updated Weekly cover?
This product includes data covering 248 countries like USA, China, Japan, Germany, and India. Coresignal is headquartered in United States of America.
How much does Coresignal Clean Data Company Data AI-Enriched Datasets Global / 35M+ Records / Updated Weekly cost?
Pricing information for Coresignal Clean Data Company Data AI-Enriched Datasets Global / 35M+ 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 Clean Data Company Data AI-Enriched Datasets Global / 35M+ 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 Clean Data Company Data AI-Enriched Datasets Global / 35M+ 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 Web Scraping APIs to use in 2023, Best +8 Finance APIs to use in 2023, and Top 10 Fintech APIs with Company Data.
What are similar products to Coresignal Clean Data Company Data AI-Enriched Datasets Global / 35M+ Records / Updated Weekly?
This product has 3 related products. These alternatives include Coresignal Employee Data AI-Enriched Dataset Global / 589+ Records / Updated Weekly, Forager.ai- Company Funding Data 61M Global Company Data Records Bi-Weekly Updates Historical Coverage Hourly Delivery CSV, JSON, PostgreSQL, and RevenueBase AI/ML Model Data 15 Million Global Companies. You can compare the best Company Data providers and products via Datarade’s data marketplace and get the right data for your use case.