💼 Dealroom Scraper: Startup, Unicorn and Investor Data (No Login)

Dealroom startup, unicorn and investor data, in a clean table you can sort and filter. Filter by country, city, sector, tier and valuation, or look companies up by name, domain or URL. Valuation, revenue and headcount ranges come with numeric bounds, plus investor cap tables, funding rounds and investor portfolios.

🔎 Real filters Country, city, sector, tier, founded year and valuation, over about 9,700 unicorns, thoroughbreds and colts.

🔢 Numeric bounds Every range also comes as a low and a high number. No guessed midpoints, ever.

📋 Cap tables by stage Every investor with the round it entered, plus recent funding rounds and ownership shares.

🔔 Change monitor Schedule a list and see what is new, what changed and which investors joined.

Looking for Dealroom data without a platform subscription? This Actor collects the company and investor profiles that Dealroom shows publicly and returns them as rows for a spreadsheet, a CRM or a database. Export to JSON, CSV or Excel, or pipe the results into Google Sheets, Slack or your own API.

🔍 What does this Actor do?

Dealroom shows rich pages for startups and investors but no export. This Actor turns them into data.

• Lists companies by filter: country, city, sector, Power Law tier (unicorn, decacorn, thoroughbred and more), founded year and valuation. Results start with the largest valuation.
• Looks up your own list: paste Dealroom URLs, company names or website domains and get one row per match. Names that cannot be matched are reported in the run summary.
• Returns valuation, revenue, headcount and funding as Dealroom prints them, plus numeric low and high bounds so you can sort and filter in a spreadsheet.
• Lists every investor on the cap table with the round it first entered, the recent funding rounds with amounts and lead investors, ownership shares and workforce by country.
• Works on investors too: ranking, portfolio size, unicorn and decacorn counts, last investment, portfolio breakdown by country, sector and stage, and the best-known portfolio companies.
• Can follow an investor into its portfolio and collect those company profiles as well.
• Tracks a list between runs and labels each row NEW, UPDATED, UNCHANGED or REMOVED.

🎯 What can I use it for?

• Venture and corporate development teams: build a map of companies in a sector or country and track valuation and headcount bands over time.
• Founders and fundraising advisors: find investors by type and country, ranked, with their portfolio focus.
• Sales and lead generation: enrich a list of company names or domains with sector, size band, headquarters and investors.
• Analysts and journalists: pull unicorn and decacorn lists with valuation bounds and cap-table makeup.
• Data teams and AI agents: feed a clean, stable company and investor table into a pipeline on a schedule.

🚀 How to use it

STEP 1 Choose your source Pick companies or investors and set filters, or paste Dealroom URLs, names or domains.

STEP 2 Run it Start with the default of 20 profiles, then raise the limit once the rows look right.

STEP 3 Export or monitor Download CSV, Excel or JSON, or add a monitor name and put the run on a schedule.

📥 Input

Every field is optional. With nothing set you get the 20 companies with the largest valuations.

Field	Type	Required	Description
What to collect	enum	No	Companies (filtered list), Investors (ranked list) or Specific profiles only.
Dealroom profile URLs	array of URLs	No	Company or investor profile URLs, for example https://dealroom.co/companies/revolut/. When filled, the filters are skipped.
Company or investor names and domains	array of text	No	Names or website domains to look up, for example Anthropic or stripe.com. The name has to match the Dealroom profile name.
Countries	array of text	No	Keep only companies or investors headquartered in these countries.
Cities	array of text	No	Keep only companies headquartered in these cities, or investors in these ecosystems.
Sectors	array of text	No	Keep only companies in these sectors, for example Fintech, AI or Cybersecurity.
Company tiers	array of enum	No	Keep only these Power Law tiers: Mag 7, Gigacorn, Titan, Centicorn, Decacorn, Unicorn, Thoroughbred or Colt.
Investor types	array of text	No	Keep only investors whose type contains one of these words, for example venture, angel or corporate.
Founded from year	integer	No	Keep only profiles founded in this year or later.
Founded up to year	integer	No	Keep only profiles founded in this year or earlier.
Minimum valuation (USD)	integer	No	Keep only companies with a listed valuation of at least this many dollars.
Maximum valuation (USD)	integer	No	Keep only companies with a listed valuation of at most this many dollars.
Also collect portfolio companies	boolean	No	For every investor, also collect its best-known portfolio companies. Each extra profile counts as one result.
Portfolio companies per investor	integer	No	How many portfolio companies to collect per investor, up to 60.
Monitor name	text	No	Name a list to track it between runs. Use the same name on every scheduled run.
Only save new and changed results	boolean	No	With a monitor name set, skip profiles that did not change since the previous run.
Max profiles	integer	No	Stop after reading this many profiles. Free plan runs are capped at 25.
Proxy configuration	object	No	Connection settings. The default works for most runs.

📤 Output

Each profile becomes one row. Fields Dealroom does not show for a profile are left out of the row, never filled with placeholders. The Output tab has three ready-made views: profiles, investor cap tables and investor portfolios.

Example company row (shortened):

{
  "recordType": "company",
  "name": "Anthropic",
  "url": "https://dealroom.co/companies/anthropic1/",
  "dealroomTier": "Centicorn",
  "location": "San Francisco",
  "country": "United States",
  "foundingYear": 2021,
  "valuationRange": "$500B–1T",
  "valuationLowUsd": 500000000000,
  "valuationHighUsd": 1000000000000,
  "revenueRange": "$10–50B",
  "headcountRange": "5–10k",
  "investorCount": 72,
  "investors": [
    { "name": "Eric Schmidt", "stage": "Series A" }
  ],
  "workforceByCountry": [
    { "country": "United States", "percent": 85.5 }
  ],
  "scrapedAt": "2026-10-17T21:29:19.581Z"
}

📊 Data table

Companies

Field	Type	Description
name, url, slug	text	Company name, Dealroom profile link and its address slug.
tagline, description	text	Short tagline and the longer description when Dealroom shows one.
sector, industry, subIndustry, keywords	text, array	Sector and industry labels and sector tags.
businessModel, clientFocus, status	text	Business model, client focus and company status when shown.
dealroomTier, powerLawTiers	text, array	Dealroom Power Law tier, for example Unicorn or Centicorn.
location, country, foundingYear	text, number	Headquarters city, country and founding year.
website, linkedinUrl, twitterUrl, logoUrl	text	Company links when shown.
employees, dealroomSignal, openPositions	number, text	Employee count, Dealroom signal score and open positions when shown.
valuationRange, valuationLowUsd, valuationHighUsd, valuationAsOf	text, number	Valuation as printed, its numeric bounds and when it was recorded.
revenueRange, revenueLowUsd, revenueHighUsd	text, number	Revenue as printed and its numeric bounds.
fundingRange, fundingLowUsd, fundingHighUsd	text, number	Total funding as printed and its numeric bounds, when shown.
headcountRange, headcountLow, headcountHigh	text, number	Team size band as printed and its numeric bounds.
investorCount, investors	number, array	Investors on the cap table with the round each first entered.
fundingRoundCount, fundingRounds	number, array	Recent funding rounds: type, date, amount, valuation, investors and source link.
ownership	array	Share of equity by holder, as indicative percentages.
workforceCountryCount, workforceByCountry	number, array	Countries with team presence and the workforce share per country.
monthlyWebVisits, webTrafficByCountry, webVisitsChange3m, teamGrowth1y	text, array	Website traffic and team growth signals when shown.
similarCompanies	array	Closest peers with their profile links.
listedValuationUsd, listedValuationLabel, listedIpo	number, text	Valuation and IPO year from Dealroom's public company list, in filtered runs.

Investors

Field	Type	Description
name, url, slug, tagline	text	Investor name, profile link, address slug and tagline.
investorType, investorRoles	text, array	Investor type and roles, for example venture capital or limited partner.
location, country, foundingYear	text, number	Headquarters and founding year.
website, linkedinUrl, twitterUrl	text	Investor links when shown.
rank, rankingSegment, powerLawOutcomes	number, text	Position in Dealroom's investor ranking and its outcome count.
portfolioCompanyCount, unicornCount, decacornCount, investmentCount	number	Portfolio size and counts as shown on the profile.
lastInvestmentDate	text	Month of the most recent investment.
portfolioCompanies, portfolioCompanyUrls	array	Best-known portfolio companies with sector, tier and valuation label.
portfolioByCountry, portfolioBySector, portfolioByStageEntered, portfolioByGrowthStage	array	Portfolio breakdowns with counts.
topSectors, topCountries	array	Main sectors and countries of the portfolio.

Run info and monitor fields

Field	Type	Description
recordType, scrapedAt	text	company or investor, and the time the row was collected.
resolvedFrom, expandedFrom	text	The name or domain a row was matched from, or the investor whose portfolio it came from.
changeType, changedFields	text, array	Monitor only: NEW, UPDATED, UNCHANGED or REMOVED, and what changed.
newInvestors	array	Monitor only: investors that joined the cap table since the previous run.
firstSeenAt, daysTracked	text, number	Monitor only: when the monitor first saw the profile.
previousFundingRange, previousValuationRange, previousRevenueRange, previousInvestorCount	text, number	Monitor only: the earlier value when it changed.

A short summary of every run (profiles read, names not matched, changes found) is saved in the run's key-value store as RUN_SUMMARY.

💰 Pricing

This Actor is pay per result: you pay for the profiles you collect, and a run that returns nothing costs nothing apart from the small start fee. There is no subscription and no minimum spend. The price per profile goes down on higher Apify plans. See the pricing box at the top of this page for the current rates.

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🛠️ Tips for better runs

• Start with the defaults to see the row shape, then add filters. Large valuations come first, so a tier or country filter gives a focused list fast.
• To enrich your own list, paste URLs, names or domains instead of using filters. Names must match the Dealroom profile name, so use the profile URL for small or hard-to-spell companies.
• For a recurring job, set a monitor name, keep the filters fixed and turn on "Only save new and changed results" so each run returns just what moved.
• Pick Investors with "Also collect portfolio companies" to turn a firm into the company list behind it.

❓ FAQ

Is exact funding, valuation or revenue available?

No. Dealroom publishes ranges on its public pages, and this Actor returns them exactly as printed. Each range also comes as a low and a high number, never a midpoint. A few figures, such as recent round amounts, are printed as single values and are returned as they are.

Do I need a Dealroom account, API key or cookies?

No. The Actor never asks for a login, password, key or cookie and only reads public pages.

Why are founders and team members missing?

Dealroom keeps people data behind its paid platform. This Actor does not collect it and does not try to get around that.

Why are some fields missing on some rows?

Dealroom does not show every field for every company. A missing field is left out of the row instead of being filled with a placeholder.

How big is the filtered list?

Company filters work over the unicorns, thoroughbreds and colts that Dealroom lists publicly, about 9,700 companies. Any other company can still be collected by pasting its profile URL or name.

When is a profile marked REMOVED?

Only after it was missing from the whole monitored list in two complete runs in a row. Runs cut short by the profile limit or an error never report removals.

Can I send alerts to Slack, email or a spreadsheet?

Yes. Apify integrations and webhooks can forward each finished run to Slack, email, Google Sheets, Zapier, Make or your own endpoint.

Found a bug or need a custom version of this Actor? Open an issue from the Actor's Issues tab and it will be looked at directly.

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