LinkedIn Company Search — Query, Industry, Size ✅ No Cookies

LinkedIn Company Search — Query, Industry, Size ✅ No Cookies

Search LinkedIn companies by keyword and filter by industry, company size and location. Get a fast card per company, or switch to Full mode for the whole company profile — website, phone, exact employee count, founding year, specialities and every office with its postal address. One row per company. Powered by the Neuralverge API. No cookies or account required, and you pay only for the companies returned.

Ideal for lead lists, market mapping, account-based marketing, competitor research and CRM enrichment.

✨ Why this Actor

• 🔍 Keyword + real filters — narrow by LinkedIn's own 434-entry industry taxonomy, by headcount band and by location. All three are dropdowns, so a search can't fail on a typo.
• 🧱 One schema, two depths — Short and Full return the same nine core columns under the same names; Full simply adds ~25 more. A spreadsheet, CRM mapping or workflow built on Short keeps working when you switch to Full.
• 💸 Pay per result — billed per company row returned. A search that matches nothing costs nothing but the platform's start fee. No empty, billable rows.
• 🍪 No cookies or account — the search runs on the Neuralverge backend; you never share a LinkedIn login.
• ⚡ Real pagination — startPage walks deeper into the result set in blocks of 50, so you can harvest a large niche across several runs without paying for the same companies twice.

🔧 How it works

1. Enter a search query and, optionally, industry, company-size and location filters.
2. Pick a scraping mode — Short for a fast card, Full for the whole profile.
3. Run the Actor. The search happens on the Neuralverge backend.
4. Get one dataset row per company. Export to CSV, JSON or Excel, or pull it over the Apify API.

Empty searches return nothing and are not charged.

Input

Field	Type	Notes
searchQuery	string	Keyword to search companies by, e.g. software, fintech.
industryIds	array	Industry picker — LinkedIn industry v2 IDs, e.g. 43 (Financial Services), 4 (Software Development). Empty = all industries.
companySize	array	Headcount band. One or more of 1-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000, 10001+. Empty = any size.
locations	array	Location(s), e.g. London, Amsterdam. Loose match — a city also returns its metro area. Empty = anywhere.
scraperMode	string	short (9-field card) or full (whole company profile). Sets the price.
maxItems	integer	Max companies to return per run, 1-1,000. Large requests are split into several paged searches automatically.
startPage	integer	Results page to start from. Pages are 50 companies wide: page 2 starts at company 51, page 3 at company 101.

{
  "searchQuery": "fintech",
  "industryIds": ["43"],
  "companySize": ["51-200"],
  "locations": ["London"],
  "scraperMode": "short",
  "maxItems": 20,
  "startPage": 1
}

What you'll receive

Both modes return these nine columns, always under the same names:

• name, universalName (LinkedIn handle), linkedinUrl, id
• industry, location, followers (number), summary, logo

Full mode adds the rest of the company profile on top:

• website, phone, tagline, companyType, foundedYear
• employeeCount (exact) and employeeCountRange (the LinkedIn band)
• specialities, industries (all of them, not just the first)
• headquarters and offices — full postal addresses, country and city, one entry per office
• peopleStats — LinkedIn's own headcount breakdown by location, function and seniority
• similarOrganizations, affiliatedPages, jobSearchUrl, callToActionUrl
• backgroundCover, logos, pageVerified, pageType, showcase, active

Nulls are normal. LinkedIn doesn't expose every field for every company — location, followers, phone and website are sometimes null.

followers in Short mode is LinkedIn's rounded display figure (101K followers → 101000). Full mode returns the exact count.

Example output — Short (real run)

Two of the companies returned for fintech, shown in full.

[
  {
    "id": "5216302",
    "universalName": "fintechfutures",
    "name": "FinTech Futures",
    "linkedinUrl": "https://www.linkedin.com/company/fintechfutures/",
    "industry": "Technology, Information and Media",
    "location": "London, England",
    "followers": 101000,
    "summary": "The #1 provider of global fintech news and intelligence",
    "logo": "https://media.licdn.com/dms/image/v2/D4E0BAQEhgtuQZUyrYA/company-logo_100_100/..."
  },
  {
    "id": "798803",
    "universalName": "fintech-llc",
    "name": "FinTech LLC",
    "linkedinUrl": "https://www.linkedin.com/company/fintech-llc/",
    "industry": "IT Services and IT Consulting",
    "location": "Edison, NJ",
    "followers": 15000,
    "summary": "Fintech is now ApTask — Financial Technology Specialists: Consulting, Staff Augmentation, Direct Hire, Project Services...",
    "logo": "https://media.licdn.com/dms/image/v2/C510BAQFobT67_rqX5Q/company-logo_100_100/..."
  }
]

Example output — Full (real run)

The same company in full mode. Long arrays are shortened here for readability; the dataset row carries them in full.

{
  "id": "5216302",
  "universalName": "fintechfutures",
  "name": "FinTech Futures",
  "linkedinUrl": "https://www.linkedin.com/company/fintechfutures/",
  "industry": "Technology, Information and Media",
  "location": "London, United Kingdom",
  "followers": 100861,
  "summary": "FinTech Futures is the #1 provider of global fintech news and intelligence, trusted for over 40 years by professionals across the financial technology ecosystem...",
  "logo": "https://media.licdn.com/dms/image/v2/D4E0BAQEhgtuQZUyrYA/company-logo_400_400/...",
  "tagline": "The #1 provider of global fintech news and intelligence",
  "website": "https://www.fintechfutures.com",
  "phone": null,
  "foundedYear": 1983,
  "employeeCount": 48,
  "employeeCountRange": "11-50",
  "companyType": "Public Company",
  "specialities": ["FinTech", "PayTech", "BankingTech Awards", "PayTech Awards", "RegTech"],
  "industries": ["Technology, Information and Media"],
  "headquarters": {
    "country": "GB",
    "city": "London",
    "geographicArea": "England",
    "line1": "5 Howick Place",
    "line2": null,
    "postalCode": "SW1P 1GW",
    "headquarter": true,
    "description": "Informa Festivals",
    "parsed": { "text": "London, United Kingdom", "countryCode": "GB", "country": "UK", "state": "England", "city": "London" }
  },
  "offices": [ "... one entry per office, same shape as headquarters ..." ],
  "peopleStats": [ "... LinkedIn's headcount breakdown by location, function and seniority ..." ],
  "similarOrganizations": [ "... company cards LinkedIn shows as 'people also viewed' ..." ],
  "affiliatedPages": null,
  "jobSearchUrl": "https://www.linkedin.com/jobs/search?geoId=92000000&f_C=5216302",
  "callToActionUrl": "https://bit.ly/4eeqriw",
  "backgroundCover": "https://media.licdn.com/dms/image/v2/D4E1BAQFwPgYLlOZ5WQ/company-background_10000/...",
  "logos": [ { "url": "...", "width": 400, "height": 400 } ],
  "backgroundCovers": [ { "url": "...", "width": 1129, "height": 192 } ],
  "pageVerified": false,
  "pageType": "COMPANY",
  "showcase": false,
  "paidCompany": false,
  "autoGenerated": false,
  "active": true
}

Genuine output from live runs on the query fintech.

Pricing

Pay per result — the price depends on the Scraping mode input. You pay only for the companies returned; a search that matches nothing is not charged.

Event	Price
Actor start	$0.00005
Company returned, Scraping mode = Short	$0.005 ($5 / 1,000)
Company returned, Scraping mode = Full	$0.010 ($10 / 1,000)

If you set a Maximum cost per run, the Actor trims the search to what that budget pays for before it queries anything, so you never receive a partially-billed run.

Free plan limits

Users on any paid Apify plan are not affected by anything in this section.

On the Apify Free plan all Neuralverge Actors share one budget, per user and per calendar month: 15 runs in total, at most 1 of them on this Actor, and 35 returned rows. A run that finds nothing still counts, because the lookup is performed either way. LinkedIn People Search is metered differently — one run there uses 25 of the 35 rows, because a full page of 25 profiles is bought upstream whether or not all of them are returned. When a limit is reached the Actor stops gracefully with a status message naming it; everything resets on the 1st of every month, and any paid Apify plan removes all of it.

In addition, a run started from a Free-plan account returns at most 5 companies.

Pricing is on top of your Apify platform usage.

Integrations & API

Results are stored in a standard Apify dataset — export as CSV, JSON, XML or Excel, or fetch on demand through the Apify API. The Actor also plugs into Apify's integrations (Make, Zapier, n8n, webhooks) and can be called from any MCP client.

FAQ

Do I need an account or cookies? No. The search runs on the Neuralverge backend; you never share a LinkedIn login.

How do I filter by industry? Pick one or more entries from the Industry dropdown — it holds LinkedIn's own 434-entry industry taxonomy (v2). If you drive the Actor over the API, pass the numeric IDs, e.g. "industryIds": ["43"] for Financial Services. Slugs and plain English names are not accepted and return no results.

What's the difference between Short and Full? Short returns a nine-field card. Full returns those same nine columns plus the rest of the profile — website, phone, exact employee count, founding year, specialities, offices with postal addresses and headcount statistics. Column names are identical, so switching modes never breaks a downstream mapping.

How do I get more than one page of results? Raise maxItems for a bigger single run, or raise startPage to move deeper into the same result set. Pages are 50 companies wide, so startPage: 2 begins at company 51.

Why did my search return nothing? Most often a filter is too narrow, or industryIds was given as text instead of a numeric ID. The run log names the likely cause.

Am I charged for an empty search? No. You're billed only for company rows returned to the dataset.

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Disclaimer: This Actor is an independent tool and is not affiliated with or endorsed by LinkedIn. Use the data in compliance with applicable laws and platform terms.