Company Search — 115M Companies by Size, Industry, Funding avatar

Company Search — 115M Companies by Size, Industry, Funding

Pricing

from $1.50 / 1,000 company rows

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Company Search — 115M Companies by Size, Industry, Funding

Company Search — 115M Companies by Size, Industry, Funding

Search 115M companies by country, industry, headcount, site domain and funding — the stage of the last round, its amount and its date, filters the rest of this shelf does not carry at all. A free count preview sizes the segment before you pay $1.50 per 1,000 delivered rows.

Pricing

from $1.50 / 1,000 company rows

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Sputnik API

Sputnik API

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Company Database Search — 115M companies by industry, size & funding

$1.50 per 1,000 companies — 25% under the cheapest company row on this shelf, and the only one here you can filter by funding. Stage of the last round, its amount and its date are filters, not just columns. Size the segment for free before you buy a row.

What it costs against the shelf

What you getShelf priceHere
Short company row$2.00 per 1,000$1.50 per 1,000
Company row with description, HQ, founding year, funding$4.00 per 1,000$1.50 per 1,000
Filter by funding stage / amount / datenot offeredincluded
Counting the segment before you buynot offeredfree

(Read off the public Apify listing on 2026-09-18, at its price on the plans most buyers are on.)

Search a company database by country, industry, headcount, funding, and site domains — and see how big your segment is for free before you buy a single row.

This is a database search, not a live scrape: no per-page crawling, no waiting. Filter combinations answer in seconds with funding data on every row that has it.

Free preview first

Run with previewOnly: true (the default) and the actor answers with one free row: the total number of matching companies. Size the segment, tune the filters, then uncheck preview to fetch the rows.

Input

{
"countries": ["nl"],
"industries": [],
"companyDomains": [],
"employeesMin": 200,
"hasFunding": true,
"fundedAfter": "2022-01-01",
"fundedBefore": "2026-01-01",
"fundingRounds": ["seed", "series_a"],
"fundingAmountMin": 1000000,
"previewOnly": true,
"maxResults": 500
}
  • countries — two-letter codes, up to 10.
  • industries — labels as they appear on company pages, up to 50.
  • companyDomains — look up specific companies by site domain, up to 50.
  • employeesMin / employeesMax — headcount range.
  • hasFunding / fundedAfter / fundedBefore — funding filters on the last recorded round.
  • fundingRounds — keep companies whose last round is one of pre_seed, seed, angel, series_aseries_g, series_unknown, private_equity, debt_financing, grant, convertible_note, post_ipo_equity, post_ipo_debt, secondary_market, corporate_round, equity_crowdfunding, product_crowdfunding, initial_coin_offering. The store keeps one round per company, so seed reads "has not raised past seed yet" — which is the stage filter most target lists are actually built on.
  • fundingAmountMin / fundingAmountMax — size of that last round, in USD.

At least one filter is required. Search by company name is not offered — anchor on a site domain instead, it is unambiguous.

What you get — a full company card per row

GroupFields
Identitycompany name, primary site domain, website URL
Size & industryemployee count, industry, verticals list
Fundinglast round type, date, and amount — on every row that has funding history
Storyfounding year, description, operating status
Locationcountry code, headquarters (city, region, postal code)
Upsell_fullData — the same company through the direct API

A row (anonymized sample of the shape):

{
"_status": "found",
"id": 456123,
"name": "Acme Analytics",
"domain": "acme-analytics.example",
"website": "https://www.acme-analytics.example",
"countryCode": "NL",
"employeeCount": 85,
"industry": "Software Development",
"verticals": ["Analytics", "B2B SaaS"],
"funding": { "hasFunding": true, "lastRoundType": "Series A", "lastRoundDate": "2023-05-01", "lastRoundAmount": 12000000 },
"operatingStatus": "active",
"founded": 2018,
"description": "Product analytics for B2B teams…",
"hq": { "locality": "Amsterdam", "region": "North Holland" }
}

Unknown facts are omitted, never shipped as empty strings — a missing HQ means the record does not vouch for one.

The Output tab shows two views: Overview (one line per company) and Funding & firmographics (verticals, funding block, HQ, description).

Pricing — per delivered row

EventPriceWhen
Company row$0.0015after the row landed in your dataset
Count preview$0always free

$1.50 per 1,000 companies. Set maxResults to cap the spend of a run.

FAQ

How do I get the people behind these companies? Feed the domain column to our Company Employees Finder (whole roster at $1.5/1,000) or use People Database Search with companyDomains for title-filtered slices.

Why is there no company-name search? A name is ambiguous (150+ companies can share one); a site domain is not. Anchor on domains.

The family

Same engine, other doors: Reverse Email Lookup (email → person), Profile Lookup (URL → profile), Work Email Finder (name + domain → email), Company Employees Finder (domain → roster), People Database Search (filters → people), Name-to-Profile, Social Handle Lookup, Bulk People Enrichment (CSV, 50k rows). One data core, one billing promise: misses are free.

Disclaimer

This Actor is an independent product and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. It does not access, crawl, or scrape LinkedIn at run time — answers come from our own database of publicly available professional data; "LinkedIn" is used only to describe the kind of public profile data the database covers. Removal requests are honored via the Issues tab.