LinkedIn Company Data Scraper: Size, Industry, Followers avatar

LinkedIn Company Data Scraper: Size, Industry, Followers

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from $3.75 / 1,000 company returneds

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LinkedIn Company Data Scraper: Size, Industry, Followers

LinkedIn Company Data Scraper: Size, Industry, Followers

For sales prospecting, CRM enrichment and account research: LinkedIn company data from URLs or just names, with website, industry, size, employee count, followers, HQ, founded year and every office. Finds a company's LinkedIn URL by name, plus similar companies. No login. CSV, Excel, JSON.

Pricing

from $3.75 / 1,000 company returneds

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NeverEmpty

NeverEmpty

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2 days ago

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Turn a list of LinkedIn company URLs, or just company names, into a spreadsheet of company data: website, industry, company size, employees on LinkedIn, followers, headquarters, founded year, specialties and every office address, one row per company. Built for sales prospecting, CRM enrichment, recruiting and market research, with no LinkedIn login or cookies needed.

  • Only have company names? Put them in Company names to search and get each company's LinkedIn URL with its full details. Each row is checked to be the company it names, so your list stays clean.
  • Want more accounts like your best ones? Company rows also list the similar companies and affiliated pages LinkedIn shows (subsidiaries, brands, showcase pages), each with name, LinkedIn URL, industry and location.
  • Quick on long lists. One run on 2026-10-15 returned 200 companies in 164 seconds.
  • Ready for your tools. Download CSV, Excel or JSON, or send the rows to Google Sheets, your CRM or an AI agent.

What you get

  • Company profile: LinkedIn company ID, LinkedIn URL and page name (universalName), name, tagline, full description, website, industry, company type (for example Public Company, Privately Held).
  • Size and reach: company size range as text and as numbers (employeeCountRange.start / end), employees on LinkedIn, followers.
  • Where they are: headquarters plus every office address LinkedIn lists, each split into street, city, region, postal code and country code, with the headquarters marked.
  • More context: founded year, specialties as a list, logo and cover image URLs.
  • Related companies: affiliated pages (subsidiaries, brands, showcase pages) and LinkedIn's similar pages, each with name, LinkedIn URL, industry and location. Useful for finding look-alike accounts.
  • Find the LinkedIn URL from a name: search by company name and get the LinkedIn company URL and ID, best match first (up to 10 matches per name).
  • Export anywhere: CSV, Excel, JSON or XML, Google Sheets, or the Apify API for your own code, CRM or AI agent.

Who uses it

  • Sales and lead generation: enrich an account list with industry, size, headquarters and website; find look-alike companies through similar pages; get a company's website domain when all you have is its LinkedIn URL.
  • Recruiters: company size, locations and followers for the employers you work with.
  • Market and competitor research: compare companies in one table, track follower counts by running the same list on a schedule.
  • CRM and data teams: turn a column of company names into LinkedIn URLs and IDs.
  • AI agents: one call returns structured company facts ready for an LLM.

How to use it

  1. Paste LinkedIn company URLs into Company LinkedIn URLs (one per line), or company names into Company names to search, or both.
  2. For names, choose Companies per name (1 = best match only).
  3. Click Start, then download the results as CSV, Excel or JSON.

Input fields

FieldWhat to put in it
companiesLinkedIn company or showcase page URLs, one per line
searchesCompany names to look up in LinkedIn's company search, one per line
maxResultsPerSearchCompanies to return per name, 1 to 10 (default 1 = best match)
nameMustMatchOn by default: only companies whose LinkedIn name contains all your words

Input example

{
"companies": [
"https://www.linkedin.com/company/google/",
"https://www.linkedin.com/company/microsoft/"
],
"searches": ["Stripe", "Siemens"],
"maxResultsPerSearch": 1
}

Output example

{
"status": "ok",
"id": "165158",
"universalName": "netflix",
"linkedinUrl": "https://www.linkedin.com/company/netflix",
"name": "Netflix",
"tagline": "Play, pause, and resume watching anytime and anywhere.",
"website": "https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin",
"industries": ["Entertainment Providers"],
"companyType": "Public Company",
"companySize": "10,001+ employees",
"employeeCountRange": { "start": 10001, "end": null },
"employeeCount": 19039,
"followerCount": 12175132,
"foundedOn": { "year": 1997 },
"headquarters": "Los Gatos, CA",
"specialities": ["Revolutionizing the way people watch TV shows and movies!"],
"locations": [
{ "headquarter": true, "line1": "100 Winchester Circle", "line2": null, "city": "Los Gatos", "geographicArea": "CA", "postalCode": null, "country": "US", "countryName": "United States", "text": "100 Winchester Circle, Los Gatos, CA, US" }
],
"similarPages": [
{ "name": "Spotify", "linkedinUrl": "https://www.linkedin.com/company/spotify/", "universalName": "spotify", "industry": "Musicians", "location": "Stockholm, Stockholm County" }
],
"input": "https://www.linkedin.com/company/netflix/",
"searchQuery": null,
"checkedAt": "2026-10-15T07:00:00.000Z"
}

(Values from Netflix's public LinkedIn page on 2026-10-15; the description, logo, cover and the other offices and pages are cut here for space.)

Output fields

FieldWhat it is
idLinkedIn company ID (the number LinkedIn uses for the company)
universalName, linkedinUrlPage name and URL of the company page
name, tagline, descriptionAs shown on the company page
websiteThe website the company lists on LinkedIn
industries, companyTypeIndustry and company type
companySize, employeeCountRangeSize range as LinkedIn shows it, and as numbers
employeeCountEmployees on LinkedIn (people who list this company)
followerCountLinkedIn followers
foundedOn.yearFounded year, when the company lists one
headquarters, locationsHeadquarters and every office address
specialitiesSpecialties the company lists
logo, backgroundCoverImage URLs
affiliatedPages, similarPagesRelated company pages
input, searchQuery, searchRank, nameMatchesSearchWhich of your inputs produced the row
status, noteok for a company row; other values are free rows that say why nothing was returned

FAQ

How do I get the website, industry and employee count for a list of LinkedIn company URLs?

Paste the URLs into Company LinkedIn URLs, one per line, and click Start. Each company comes back as one row with website, industries, companySize, employeeCount, followerCount, headquarters and every office in locations. Download it as CSV or Excel.

How do I find the LinkedIn page for a list of company names?

Put the names into Company names to search. Each name returns the company's linkedinUrl and LinkedIn company id with the full details. Set Companies per name above 1 to see more of LinkedIn's top suggestions, in the order shown in searchRank.

Can I export LinkedIn company data to Excel without logging in?

Yes. The Actor reads public company pages, so no LinkedIn account or cookies are needed. Results download as CSV, Excel, JSON or XML.

How do I find companies similar to my best customers?

Run your best customers' LinkedIn URLs. Rows include similarPages (companies LinkedIn shows as similar) and affiliatedPages (subsidiaries and brands) whenever LinkedIn lists them, each with a LinkedIn URL you can paste into the next run.

Can I keep the data up to date?

Save your list as a Task and attach a Schedule. Each run returns the current followers, employee count, size and offices, so you can compare them over time.

Pricing

You pay per company returned, plus a small fee per run. Free rows (a page that does not exist, a name with no match, a refused request) are never charged. Set a maximum total charge for a run and the Actor stops before going over it and tells you how many inputs were left.

Good to know

  • Data comes from the public company pages LinkedIn shows to signed-out visitors. Anything LinkedIn shows only to signed-in members is not included: the list of employees, people's profiles and emails, funding rounds, and posts.
  • employeeCount is the number of LinkedIn members who list the company, not an official headcount; companySize is the range the company chose.
  • foundedOn, tagline, specialities, phone and some addresses are empty when the company has not filled them in. Nothing is guessed.
  • In locations, city, geographicArea and postalCode are split from the address line LinkedIn shows; the full line is always in text.
  • A company name search uses LinkedIn's company search and keeps its order (searchRank). A name that LinkedIn does not know, or that only matches loosely, returns a free row instead of a guess. With Companies per name set to N, LinkedIn's top N suggestions are checked and each one gets a row: the company, or a free row saying why (no public page with the same company ID, a name without all of your words (a company-type word at the end, such as AG, Inc or Ltd, does not need to match), or a company already returned in this run). A lower suggestion is never returned in place of a higher one, so a subsidiary or regional page never comes back as the company you named. If you know the company, pasting its LinkedIn URL is the most direct way.
  • LinkedIn school pages (universities, /school/...) are shown only to signed-in members, so they are not read; such a URL returns a free row. Company and showcase pages work.
  • The same company asked twice in one run (by URL and by name, for example) is returned and charged once.
  • Up to 5,000 company URLs and 500 names per run.

Thanks for using this Actor

We build these tools for people who run them every day, and we improve them from what users tell us.

  • Missing a field, or need another filter? Tell us in the Issues tab. If the data is there, we add it.
  • Found a bug or a wrong value? Post the run ID in the Issues tab. Wrong data is the thing we fix first.

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