DatasetsV1
Companies Dataset
Learn about the dictionary of the Companies Dataset.
Dictionary
Column | Type | Description |
---|---|---|
id | str | ID of the company, meant to be used only as a join key between the company and the company_technologies datasets. Will change in the future |
name | str | Company name |
domain | str | Company domain |
iso2 | str | ISO2 country code. E.g. 'US' |
industry_id | int | Code of the industry. One of LinkedIn's Industry Codes V2 from https://learn.microsoft.com/en-us/linkedin/shared/references/reference-tables/industry-codes-v2 |
employee_count | int | Number of employees of the company |
annual_revenue_usd | float | Annual revenue of the company in USD |
total_funding_usd | float | Funding of the company in USD |
funding_stage | str | Latest funding stage of the company |
last_funding_round_date | date | Date of the last funding round of the company |
founded_year | int | Year the company was founded |
yc_batch | str | If the company went through YC, this is its batch |
linkedin_id | str | ID of the company in LinkedIn |
linkedin_url | str | LinkedIn URL of the company |
apollo_id | str | ID of the company in Apollo |
is_recruiting_agency | bool | Is a recruiting agency |
is_consulting_agency | bool | Is a consulting agency |
logo_url | str | Logo of the company |
annual_revenue_usd_readable | str | Annual revenue of the company in USD, formatted as an easily readable string |
last_funding_round_amount_readable | str | Amount of the last funding round of the company, formatted as an easily readable string |
long_description | str | Short description of the company |
seo_description | str | SEO description of the company, extracted from their website |
city | str | City of the company's HQ |
postal_code | str | Postal code of the company's HQ |
alexa_ranking | int | Alexa ranking |
publicly_traded_symbol | str | Publicly traded symbol |
publicly_traded_exchange | str | Publicly traded exchange |
investors | list[str] | List of investors in this company |
num_jobs | int | Number of jobs from this company in our database |
num_jobs_last_30_days | int | Number of jobs from this company in our database posted in the last 30 days |
technology_slugs | list[str] | List of technologies used by this company |
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