Company Dataset
Learn about the dictionary of the Companies Dataset — explore all available fields, data types, and descriptions for company records including domain, industry, size, and location data.
| Column | Type | Description | Fill Rate |
|---|---|---|---|
| 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 | 100.00% |
| name | str | Company name | 100.00% |
| domain | str | Company domain | 29.58% |
| possible_domains | array | List of possible company domains | 29.58% |
| iso2 | str | ISO2 country code. E.g. 'US' | 23.20% |
| 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 | 36.37% |
| employee_count | int | Number of employees of the company | 29.92% |
| annual_revenue_usd | float | Annual revenue of the company in USD | 2.24% |
| total_funding_usd | float | Funding of the company in USD | 0.28% |
| funding_stage | str | Latest funding stage of the company | 0.44% |
| last_funding_round_date | date | Date of the last funding round of the company | 0.65% |
| founded_year | int | Year the company was founded | 4.21% |
| yc_batch | str | If the company went through YC, this is its batch | 0.03% |
| linkedin_id | str | ID of the company in LinkedIn | 12.85% |
| linkedin_url | str | LinkedIn URL of the company | 26.15% |
| apollo_id | str | ID of the company in Apollo | 6.86% |
| is_recruiting_agency | bool | Is a recruiting agency | 1.96% |
| is_consulting_agency | bool | Is a consulting agency | 0.00% |
| logo_url | str | Logo of the company | 27.38% |
| annual_revenue_usd_readable | str | Annual revenue of the company in USD, formatted as an easily readable string | 2.24% |
| last_funding_round_amount_readable | str | Amount of the last funding round of the company, formatted as an easily readable string | 0.24% |
| long_description | str | Short description of the company | 100.00% |
| seo_description | str | SEO description of the company, extracted from their website | 25.04% |
| city | str | City of the company's HQ | 21.79% |
| postal_code | str | Postal code of the company's HQ | 17.12% |
| alexa_ranking | int | Alexa ranking | 0.90% |
| publicly_traded_symbol | str | Publicly traded symbol | 0.14% |
| publicly_traded_exchange | str | Publicly traded exchange | 0.14% |
| investors | array | List of investors in this company | 0.24% |
| num_jobs | int | Number of jobs from this company in our database | 100.00% |
| num_jobs_last_30_days | int | Number of jobs from this company in our database posted in the last 30 days | 100.00% |
| technology_slugs | array | List of technologies used by this company | 82.72% |
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Job Closed Dataset
Expired job postings dataset — same schema as the Jobs dataset with closed_at always populated, partitioned by the day each posting went offline. Use it for historical close-date analysis, CRM enrichment, or warehouse pipelines.
Technographics
Complete reference for 41 technographic fields tracking company technology adoption through job postings, including v2 schema and migration guide from v1