Free Company Dataset

Company Firmographics (Free) covers 27M+ companies worldwide. Every record has a primary domain, a LinkedIn URL, an industry and a size range, plus company type and founding year where we have them. It contains no personal data. It is refreshed every quarter. It is a subset of our company data: the companies and fields below, out of everything the Company Enrichment and Company Search APIs and a bulk data license return.

Fields

Field	Description
`legion_id`	Data Legion company ID, the same in the API and paid datasets
`name`	Company name, normalized
`domain`	Primary website domain
`linkedin_url`	LinkedIn company page
`industry`	Industry
`type`	Company type
`size`	Employee size range
`founded`	Founding year, where known
`build_version`	The Data Legion build the record comes from

Values follow the field formats: text is lower case, and industry, type and size use the values in Enums. Rows come in no particular order.

Where to get it

The same data is in four places. Each one serves the newest quarterly build.

Where	What you get	Access
datalegion.ai	Gzipped CSV and JSONL files	Enter a work email, pick a use case and accept the license; we email a link that works for 48 hours
Dashboard, Free Datasets	The same files	Signed in, no form
Snowflake Marketplace	A shared database: schema `company_free`, table `companies`	Get the listing, no request
Hugging Face	Parquet files	Share your Hugging Face username and email, give your company and use case, and accept the license; access opens right away

On Snowflake

SELECT size, COUNT(*) AS companies
FROM company_free.companies
WHERE industry = 'software development'
GROUP BY size
ORDER BY companies DESC;

The Snowflake page covers the listing and the paid products it joins to.

On Hugging Face

Request access on the dataset page, then read the files with a Hugging Face token. This looks up a list of domains with DuckDB, reading only the columns the query needs instead of downloading every file:

import os

import duckdb

con = duckdb.connect()
con.execute("CREATE SECRET hf (TYPE huggingface, TOKEN ?)", [os.environ["HF_TOKEN"]])

accounts = ["atlassian.com", "expediagroup.com"]
rows = con.execute(
    """
    SELECT domain, legion_id, name, industry, size
    FROM 'hf://datasets/datalegionai/company-firmographics/data/*.parquet'
    WHERE domain IN (SELECT unnest(?))
    """,
    [accounts],
).fetchall()

for domain, legion_id, name, industry, size in rows:
    print(domain, legion_id, name, industry, size)

import { DuckDBInstance, LIST, listValue, VARCHAR } from "@duckdb/node-api";

const db = await DuckDBInstance.create();
const con = await db.connect();
await con.run("CREATE SECRET hf (TYPE huggingface, TOKEN $1)", [
  process.env.HF_TOKEN,
]);

const accounts = ["atlassian.com", "expediagroup.com"];
const reader = await con.runAndReadAll(
  `SELECT domain, legion_id, name, industry, size
   FROM 'hf://datasets/datalegionai/company-firmographics/data/*.parquet'
   WHERE domain IN (SELECT unnest($1))`,
  [listValue(accounts)],
  [LIST(VARCHAR)],
);

for (const row of reader.getRowObjects()) {
  console.log(row.domain, row.legion_id, row.name, row.industry, row.size);
}

A domain can belong to more than one company record (a brand’s locations can share its website), so a lookup returns every record with that domain. To load the whole dataset instead, load_dataset("datalegionai/company-firmographics", split="train") from the datasets library works once you are signed in (hf auth login).

Joining to the full data

Keep the legion_id of a company you find here. It is the same ID in the Company Enrichment API and every paid company dataset, so the company joins straight to its full profile. Nearly every ID carries over from one build to the next: an ID changes only when records are merged, split or removed.

License

Free for internal and commercial use with attribution to Data Legion; not for resale or redistribution as a dataset. Where you display or publish it, credit Data Legion, for example “Company data from Data Legion (datalegion.ai)”. The full license is in the Terms of Service.

Getting Started

Person Data

Company Data

Data Quality

Data Standardization

SDKs

Integrations

Fields

Where to get it

On Snowflake

On Hugging Face

Joining to the full data

License

​Fields

​Where to get it

​On Snowflake

​On Hugging Face

​Joining to the full data

​License

Fields

Where to get it

On Snowflake

On Hugging Face

Joining to the full data

License