Pricing

$4.00 / 1,000 results

Linkedin Company Details Scraper

Extract detailed data from LinkedIn company profiles at scale — including company name, LinkedIn URL, website, industry, headquarters, company size, employee count, founded year, specialties, follower count, description, phone numbers, addresses, and more.

Pricing

$4.00 / 1,000 results

Rating

0.0

(0)

Developer

Hamza

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

LinkedIn Company Scraper

Scrape detailed LinkedIn company profiles from URLs — name, industries, size, headquarters, locations, followers, employees on LinkedIn, logo, description, and more. Great for CRM enrichment, account research, competitive intelligence, and lead-list cleanup.

What this Actor does

Given one or more LinkedIn company URLs, the Actor returns one record per company with all the structured fields LinkedIn exposes on the public company page.

Output

Each item in the dataset has this shape (matches the upstream provider schema):

{
    "id": "figueroa-real-estate",
    "name": "Figueroa Real Estate",
    "country_code": "US",
    "locations": ["4018 Little Ln El Paso, Texas 79922-1914, US"],
    "followers": 3,
    "employees_in_linkedin": 0,
    "company_size": "2-10 employees",
    "industries": "Real Estate",
    "company_id": "8027353",
    "employees": [],
    "headquarters": "El Paso, Texas",
    "image": "https://static.licdn.com/aero-v1/sc/h/5q92mjc5c51bjlwaj3rs9aa82",
    "logo":  "https://static.licdn.com/aero-v1/sc/h/cs8pjfgyw96g44ln9r7tct85f",
    "url":   "https://www.linkedin.com/company/figueroa-real-estate",
    "formatted_locations": ["4018 Little Ln, El Paso, Texas 79922-1914, US"],
    "get_directions_url": [{ "directions_url": "https://www.bing.com/maps?where=..." }],
    "description": "Figueroa Real Estate | 3 followers on LinkedIn.",
    "additional_information": null,
    "country_codes_array": ["US"],
    "alumni": null,
    "alumni_information": null,
    "website_simplified": null,
    "unformatted_about": null,
    "timestamp": "2026-05-17T02:17:57.758Z",
    "input": { "url": "https://www.linkedin.com/company/figueroa-real-estate/" }
}

Field reference:

Field	Type	Description
`id`	string	Slug-style identifier of the company
`name`	string	Display name
`country_code`	string	ISO-3166 country code of the HQ
`locations`	array of string	Raw location strings as listed on LinkedIn
`followers`	integer	Follower count
`employees_in_linkedin`	integer	Number of employees who have a LinkedIn profile
`company_size`	string	Banded size, e.g. "2-10 employees"
`industries`	string	Industry classification
`company_id`	string	Numeric internal LinkedIn company id
`employees`	array	Sample of public employee records (often empty)
`headquarters`	string	HQ city/region
`image`	string (URL)	Banner / cover image
`logo`	string (URL)	Company logo
`url`	string (URL)	Canonical LinkedIn company URL
`formatted_locations`	array of string	Cleaned-up location strings
`get_directions_url`	array of object	One `{ directions_url }` entry per office
`description`	string	"About" text
`additional_information`	object \| null	Provider-supplied extras
`country_codes_array`	array of string	All country codes the company operates in
`alumni`	any \| null	Alumni stats (when available)
`alumni_information`	any \| null	Extra alumni metadata
`website_simplified`	string \| null	Stripped-down homepage URL
`unformatted_about`	string \| null	Raw "About" text before formatting
`timestamp`	string (ISO 8601)	When the record was collected
`input`	object	The query that produced this row (`{ url }`)

Input

Field	Type	Required	Description
`company_urls`	array of strings	yes	One or more LinkedIn company profile URLs to scrape

Example input:

{
    "company_urls": [
        "https://www.linkedin.com/company/figueroa-real-estate/",
        "https://www.linkedin.com/company/openai/"
    ]
}

Limits & responsible use

The Actor only returns information that is publicly accessible on LinkedIn company pages.
Respect LinkedIn's Terms of Service and applicable privacy laws (GDPR, CCPA, etc.) when using the data.

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