Startup & Venture Capital Database - Dealroom

Scrape startup and venture capital company data from Dealroom, a leading European tech-ecosystem intelligence platform. Returns company name, tagline, HQ location, industry, founding year, employee range, total funding, and founders for thousands of companies across Dealroom's public market-map database.

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Dealroom Startup Database Scraper Features

• Pulls company records from Dealroom's full catalog of curated market maps — AI, fintech, climate, deep tech, and 30+ other categories
• Returns funding, HQ, industry, and founder data per company
• Filters by market category, or leave it blank to walk the entire catalog
• Deduplicates automatically — a company listed in multiple market maps only shows up once per run
• Fast, structured JSON output — no scanning through web pages by hand

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Who Uses Dealroom Startup Data?

• VC and PE analysts — build a sourcing pipeline of startups by sector without opening 200 browser tabs
• Market researchers — track which categories are getting crowded and which are still thin
• Corporate development teams — scan a market map for acquisition or partnership targets
• Founders and operators — benchmark headcount, funding, and positioning against comparable companies

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How the Dealroom Scraper Works

1. Set maxItems and, optionally, one or more market categories via tags.
2. The actor walks Dealroom's market-map catalog — every map if tags is empty, or only the ones tagged with your selected categories.
3. Each company record is normalized into a flat row and deduplicated against companies already seen in this run.
4. Results land in your dataset once maxItems is hit or the catalog runs out.

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Input

{
  "maxItems": 50,
  "tags": ["Fintech"]
}

Field	Type	Default	Description
maxItems	integer	10	Maximum number of company records to return.
tags	array	[] (all)	Restrict to market maps tagged with these categories (e.g. AI, Fintech, Climate, Health, SaaS). Leave empty to cover the full catalog.

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Dealroom Startup Database Output Fields

{
  "company_name": "Strawberry",
  "tagline": "AI companions automating workflows directly inside the browser",
  "profile_url": "https://app.dealroom.co/companies/strawberry_2",
  "website": "https://strawberrybrowser.com",
  "hq_location": "Stockholms kommun",
  "country": "Sweden",
  "industries": "enterprise software",
  "founded_year": "2023",
  "employee_range": "2-10",
  "total_funding": "9630363 USD",
  "founders": "Arian Hanifi, Sebastian Thunman, Charles Maddock",
  "segment": "Browser Agents",
  "market_map": "1.5k+ AI Agents"
}

Field	Type	Description
company_name	string	Company name
tagline	string	One-line description of what the company does
profile_url	string	Dealroom profile URL
website	string	Company website
hq_location	string	Headquarters city
country	string	Headquarters country
industries	string	Industry tags, comma-separated
founded_year	string	Year the company was founded
employee_range	string	Employee headcount range
total_funding	string	Total disclosed funding raised
founders	string	Named founders, comma-separated
segment	string	Market-map segment the company was listed under
market_map	string	Title of the source market map

Not every field is populated for every company — Dealroom's public data varies by record, and a blank field means Dealroom hasn't published that value, not a scraper miss.

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FAQ

How do I scrape Dealroom startup data?

Run this actor with a maxItems value and, optionally, a list of market categories in tags. It returns company records as structured JSON — no Dealroom account required.

What data can I get from Dealroom?

Company name, tagline, website, HQ location, country, industry tags, founding year, employee range, total disclosed funding, and named founders. Coverage comes from Dealroom's public market-map database, which spans startups across AI, fintech, climate, health, and dozens of other categories.

Can I filter by industry or category?

Yes. Set tags to one or more Dealroom market categories — Fintech, AI, Climate, SaaS, and so on. Leave it empty to pull from every category.

How much does this actor cost to run?

Standard pay-per-event pricing — a small per-start fee plus a per-record charge. Check the Pricing tab for current rates.

How current is the data?

As current as Dealroom's own market maps, which the platform updates on an ongoing basis. Run the actor again whenever you want a fresh pull.

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Need More Features?

Need custom fields or a different Dealroom data slice? File an issue or get in touch.

Why Use This Dealroom Scraper?

• Broad coverage — walks Dealroom's entire public market-map catalog, not one hand-picked category
• Clean output — flat JSON with consistent field names, so you spend less time cleaning data and more time using it
• Runs fast — a few dozen companies land in seconds, thousands in minutes