Company Firmographics Scraper — Revenue, Headcount, Funding & Competitors

Export company revenue, employee count, total funding, funding rounds, competitors, leadership, phone and address in bulk — to CSV, Excel, JSON or Google Sheets. The data ZoomInfo and Crunchbase charge four figures a seat for, pulled on demand with no API key and no contract.

Give it one company name and turn on competitor expansion: a single fintech seed produced 23 named rivals and 106 companies at the second hop. One input becomes a market segment.

What you get per company

Field	Example
companyName, shortName, domain, website	Stripe, Inc. — stripe.com
revenue, revenueRange	5100000000 — "$5B - 10B"
employeeCount, employeeRange	8200 — "5,000 - 10,000"
revenueTrendPercent, employeeTrendPercent	+0.4, +16.7 — growth direction, signed
totalFunding, fundingRounds	9787455541 across 23 rounds
lastFundingRound, lastFundingDate, lastFundingAmount	Venture Round, Mar 2026, 14577645
acquisitionCount, investmentCount	23 acquired, 59 invested in
competitorCount, topCompetitors	23 — Rapyd, Square, PayPal, Clover…
ceoName, ceoTitle, ceoRating, executiveCount	John Collison, President, 64
phone, streetAddress, city, state, country, postalCode	1-415-298-5539, 185 Berry Street, San Francisco
industries, industrySectors, sicCodes	Fintech Software — SIC 7373
founded, ownership, companyStatus, exchange, ticker	2009, Private, Independent Company
linkedinUrl, twitterUrl, facebookUrl, followers	social profiles, 319,000 followers
profileCompleteness, logoUrl, profileUrl, companyId	100, direct links, stable id
graphDepth, foundVia, scrapedAt	which seed it came from and how far out

48 fields per company, including the two that most lists do not carry: signed revenue and headcount trend, so you can tell a company that grew 17% from one that shrank.

Depth: the competitor graph, not a page counter

There is no list to paginate here — and that is the point. Every profile names its own competitors, so the crawl walks outward breadth-first:

Hop	Companies reached from one seed
seed	1
hop 1	23 named competitors
hop 2	106
hop 3	thousands

Breadth-first order matters: every seed is finished before the crawl moves a hop outward, so a capped run returns the companies closest to what you asked for rather than a random slice of the graph.

Filtering by minRevenue skips saving small companies but still expands through them, so a revenue floor never cuts the graph short.

Use cases

• TAM and market sizing — seed three competitors, expand two hops, and you have the addressable set with revenue and headcount on every row.
• Account scoring for sales — revenue band, employee band and growth trend are exactly the fields most ICP models need.
• Competitive landscape maps — topCompetitors on every row builds the adjacency list for you.
• Investor and M&A screening — total funding, round history, acquisition and investment counts in one file.
• CRM enrichment — feed your account domains in and get firmographics back; domain joins straight to your records.
• Recruiting and territory planning — headcount, growth direction, HQ city and phone per company.

Input

{
  "companies": ["stripe", "shopify.com", "hubspot"],
  "expandCompetitors": true,
  "maxDepth": 3,
  "maxResults": 1000,
  "minRevenue": 0
}

• companies — names, domains or profile URLs. stripe, stripe.com and the full link all resolve to the same company.
• expandCompetitors — follow each profile's named rivals.
• maxDepth — hops to follow. Growth is steep; 3 is usually plenty.
• maxResults — hard stop.
• minRevenue — revenue floor for saving, not for expanding.

Output

{
  "companyName": "Stripe, Inc.",
  "domain": "stripe.com",
  "revenue": 5100000000,
  "revenueRange": "$5B - 10B",
  "employeeCount": 8200,
  "employeeTrendPercent": 16.7,
  "totalFunding": 9787455541,
  "fundingRounds": 23,
  "lastFundingRound": "Venture Round",
  "lastFundingDate": "Mar 2026",
  "competitorCount": 23,
  "topCompetitors": ["Rapyd", "Square", "PayPal", "Clover"],
  "ceoName": "John Collison",
  "ceoTitle": "President",
  "phone": "1-415-298-5539",
  "city": "San Francisco",
  "country": "USA",
  "industries": ["Banking, Financial Services and Insurance"],
  "sicCodes": ["7373"],
  "linkedinUrl": "https://www.linkedin.com/company/stripe/",
  "graphDepth": 0,
  "foundVia": "seed"
}

No API key needed

Profiles are rendered into the page payload, so revenue arrives as 5100000000 rather than as the string "5.1B", and headcount as 8200 rather than "8,200". Both the raw number and the human band are exported, so you can sort on one and display the other.

Exporting

Results land in a dataset you can download as CSV, Excel (XLSX), JSON, JSONL, XML or RSS, read through the Apify API, or push into Google Sheets, Airtable, HubSpot, Salesforce, Clay, Make or Zapier. The domain column is the natural join key for enriching an existing account list.

Proxy and reliability

This site returned no profile at all from datacenter or plain residential addresses in testing — only the UNBLOCKER group answered, which is why it is the default. Switching to datacenter will return nothing.

A refused exit address is replaced within 250 ms rather than waited out; a rate-limit response is the opposite case and backs off instead. A company name that does not resolve is reported and skipped, not treated as a failure of the run. Every run prints a summary naming the outcome — COMPLETED, NO_MATCHES or FETCH_FAILED — plus how many names failed to resolve, so a short result is never ambiguous.

Keywords

company firmographics scraper, company revenue data, employee count scraper, company funding data, b2b company database, owler scraper, zoominfo alternative, crunchbase alternative, company competitors list, competitive intelligence data, tam market sizing data, account scoring data, icp firmographics, company phone number data, company hq address data, sic code lookup, company growth trend data, funding rounds export, m&a screening data, investor research dataset, crm enrichment company data, sales prospecting firmographics, company profile api alternative, private company revenue estimates, headcount data by company, b2b lead enrichment csv

Legal

This Actor reads only publicly visible company profile pages — no login, no paywalled sections, no personal data beyond the publicly listed executive names and titles that companies publish about themselves. Revenue and headcount figures are third-party estimates, not audited accounts; treat them as directional. You are responsible for how exported data is used, including GDPR and CCPA obligations where executive names are involved.

Not affiliated with, endorsed by, or connected to Owler or Meltwater. All trademarks belong to their owners and are referenced only to describe which public pages this tool reads.

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