LinkedIn Company Search Scraper (No Cookies)

Discover LinkedIn companies by keyword, industry, location and company size. No LinkedIn login, cookies, or account required.

Export clean, deduplicated company records for B2B prospecting, market mapping, competitor research and workflow automation.

This Actor is unofficial and is not affiliated with LinkedIn.

What you get

• Company name
• LinkedIn company URL and universal name
• Website
• Primary industry and industry list
• Company type
• Employee count and employee count range
• Follower count
• Founded year
• Headquarters location
• Company description
• Logo URL

Popular use cases

• Build a target account list by industry, location and headcount
• Market mapping for a niche (e.g. fintech companies in India with 51-200 employees)
• Competitor and similar-company research
• Enrich a CRM with company firmographics
• Feed new companies into n8n, Make, Zapier, Google Sheets, Airtable or a CRM

Why this Actor

• No cookies or LinkedIn login needed
• Filter by keyword, industry, location, size range and numeric industry IDs
• Paginate up to 20 result pages (about 50 companies per page)
• Deduplicates companies automatically
• Clean normalized schema, ready for sheets and CRMs

Input

Field	Description
Search Query	Free-text company search, e.g. fintech, SaaS, marketing
Industries (text filter)	Industry keywords
Headquarters Locations	Full location names, e.g. India, United Kingdom
Company Size Ranges	e.g. 11-50, 51-200, 201-500, 501-1000
Industry IDs	LinkedIn numeric industry IDs (max 20)
Maximum Companies	Cap on collected companies
Search Pages to Scrape	Pages to read, about 50 companies each
Start Page	Page number to start from (1-20)

Quick start

1. Enter a search query such as fintech.
2. Optionally add a location such as India.
3. Keep Maximum Companies at 25 for the first run.
4. Increase limits after verifying the output.

Example input

{
  "searchQuery": "fintech",
  "locations": ["India"],
  "companySize": ["51-200"],
  "maxCompanies": 25
}

Output example

{
  "companyName": "Example Fintech",
  "linkedinUrl": "https://www.linkedin.com/company/example-fintech/",
  "website": "https://example.com",
  "industry": "Financial Services",
  "industries": ["Financial Services"],
  "companyType": "Privately Held",
  "employeeCount": 180,
  "employeeCountRange": "51-200",
  "followerCount": 9400,
  "foundedYear": 2016,
  "headquarters": "Mumbai, Maharashtra, India"
}

Pricing and total cost

• This Actor charges a fixed price per saved company (see the Pricing tab for the current rate and plan discounts).
• It runs a paid no-cookie data source underneath; those source charges are passed through and disclosed separately.
• A small Actor-start fee can apply even when no company is saved.
• Dry Run writes a sample row only and does not trigger a result charge.

Pairing with other Actors

This Actor finds companies. To enrich them further:

• LinkedIn Company Details Scraper for full company profiles by URL
• LinkedIn Employee Scraper for people at each company
• LinkedIn Jobs Scraper to see who is hiring

Limits and result interpretation

• Results reflect publicly visible LinkedIn companies at the time of the run.
• Location and industry text matching is fuzzy; use full country names and standard size ranges.
• Follower count and employee count are LinkedIn's reported values, not audited figures.
• A SUCCEEDED run means the run finished. Always inspect the dataset before importing.

Legal and platform note

Use this Actor responsibly and only for lawful purposes. Review LinkedIn terms and applicable privacy/data protection rules for your use case.