LinkedIn company information
Use our LinkedIn companies dataset to access public company data for machine learning, ecosystem mapping, and strategic decisions. Popular use cases include competitive analysis, CRM enrichment, and lead generation. Use it for enrichment, market research, and lead generation — sample the fields free, then pull the records you need on demand.
Data-fields
40
Total records
37.38M
Price
up to $0.005/record
Min order
$350
Data sample
Description
Statistics
Dictionary
Related
Data sample
| id | name | about | db_source | followers | timestamp | country_code | employees_in_linkedin |
|---|---|---|---|---|---|---|---|
| pest-co | PestCo | At PestCo, we are dedicated to earning the loyalty of every customer w | 1784576578350 | 717 | 2026-07-20 | 92 | |
| unbound-academics | Unbound Academics | 1784576578350 | 5 | 2026-07-20 | US | 0 | |
| lone-star-national-bank | Lone Star National Bank | Lone Star National Bank opened for business on January 23, 1983 in Pha | 1784576578350 | 4030 | 2026-07-20 | US | 424 |
| swe-homes | SWE Homes, LP | SWE Homes helps hardworking Texans take the next step toward ownership | 1784576578350 | 2318 | 2026-07-20 | US | 114 |
| long-john-silver's-llc | Long John Silver's, LLC | For over 50 years, Long John Silver’s has been serving up golden, cris | 1784576578350 | 8853 | 2026-07-20 | US | 2876 |
Description
The LinkedIn company information dataset standardizes linkedin.com data into analysis-ready fields:
id, name, country_code, locations, followers, employees_in_linkedin, about, specialties, and more.
Use our LinkedIn companies dataset to access public company data for machine learning, ecosystem mapping, and strategic decisions. Popular use cases include competitive analysis, CRM enrichment, and lead generation.
Common uses include enrichment, lead generation, market and competitor research, and feeding downstream AI models.
37.38M records available, refreshed monthly, from $0.005 per record — minimum order $350. Preview a sample free before you buy.
Record updates over time
Data dictionary
| Column name | Description | Type | Fill rate |
|---|---|---|---|
| id | Unique to each company | Text |
100%
|
| name | The name of the company | Text |
100%
|
| country_code | The country where the company is located or headquartered | Text |
82.38%
|
| locations | General information about the company's locations | Array |
83.78%
|
| followers | The number of followers the company has on LinkedIn | Number |
76.96%
|
| employees_in_linkedin | The number of employees listed on LinkedIn | Number |
100%
|
| about | A description or summary of the company | Text |
47.62%
|
| specialties | List of the company's specializations | Text |
21.91%
|
| company_size | The number of employees in the company, as reported by the company | Text |
69.57%
|
| organization_type | The type of organization | Text |
46.7%
|
| industries | The industries to which the company belongs | Text |
83.64%
|
| website | The official website of the company | Text |
66.52%
|
| crunchbase_url | URL linking to the company's profile on Crunchbase | Text |
0.58%
|
| founded | The year in which the company was founded | Number |
33.91%
|
| company_id | A unique identifier for the company | Text |
100%
|
| employees | Additional information about the company's employees | Array |
57.38%
|
| headquarters | The location of the company's headquarters | Text |
83.01%
|
| image | URL that links to the banner photo associated with the company's LinkedIn page | Url |
100%
|
| logo | URL that links to the profile picture of the company's LinkedIn page | Text |
100%
|
| similar | Information about similar companies | Array |
52.36%
|
| sphere | The industries or sectors in which the company operates | Text |
3.58%
|
| url | The URL or link to the company's LinkedIn page | Url |
100%
|
| type | The type of company | Text |
3.12%
|
| updates | Information about the company's most recent posts on LinkedIn | Array |
14.67%
|
| slogan | The company's slogan | Text |
34.07%
|
| affiliated | Information about affiliated companies | Array |
2.85%
|
| funding | Information related to the company's financial backing and investments | Object |
0.58%
|
| investors | Information about the company's investors | Array |
0.28%
|
| formatted_locations | Geographical location of the company | Array |
83.78%
|
| stock_info | Information about the company's stock-related data. Include details such as the stock exchange where the company is listed (e.g., NYSE, NASDAQ) | Object |
0%
|
| get_directions_url | The url of the directions provided by the company on linkedin | Array |
87.06%
|
| description | raw description in html | Text |
99.99%
|
| additional_info | The additional_info column stores supplementary details about records. The column contains only NULL values, indicating no additional information is stored. | Text |
1.06%
|
| additional_information | Open-roles summary text extracted from LinkedIn | Text |
7.89%
|
| country_codes_array | array of all relevant countries the company locate in | Array |
82.37%
|
| alumni | Number of alumni on LinkedIn | Number |
0.3%
|
| alumni_information | Aggregated alumni insights | Array |
0.3%
|
| website_simplified | Company website root domain | Text |
66.51%
|
| unformatted_about | Raw About text captured from the page | Text |
47.62%
|
| timestamp | Date |
%
|