💰 Crunchbase Scraper: Company Funding & Investor Data

Overview

Crunchbase Scraper turns any company name or Crunchbase slug into a clean, structured JSON record. Every row includes funding total, number of rounds, last round type, investor count, HQ location, founding year, website, and description. Search by keyword to discover companies, or pass an exact organization slug to pull one profile directly.

It is built for people who need firmographic and funding data at scale: VCs and analysts building deal pipelines, sales teams qualifying prospects by funding stage, and founders sizing up competitors. No Crunchbase Pro seat, no Data API plan, no manual copy paste.

✅ No login required | ✅ No API key | ✅ Clears Cloudflare via stealth browser | ✅ MCP-ready for AI agents

Features

Keyword search and direct slug lookup in the same actor. Full funding history: total raised, round count, last round type, investor count. Firmographics: HQ location, founding year, website, and description. Clears the Cloudflare managed challenge with a real stealth Chromium session. Pay per company delivered, empty and blocked runs never charged.

How it works

Crunchbase sits behind a Cloudflare managed challenge and gates most of its data behind Crunchbase Pro and the paid Data API. This actor works differently. It drives a real, stealth hardened Chromium browser over Apify residential proxies, clears the Cloudflare challenge the way a normal visitor would, calls Crunchbase's own autocomplete for discovery, and reads the company data embedded in the rendered organization page.

You get public profile data without a Crunchbase account, without an API key, and without buying seats. Pay only per company actually delivered. Empty searches and blocked runs are never charged.

🧾 Input configuration

{
  "query": "openai",
  "maxResults": 3,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

To scrape a single known company directly:

{
  "organizationSlug": "stripe",
  "maxResults": 1
}

📤 Output format

{
  "name": "OpenAI",
  "slug": "openai",
  "description": "OpenAI is an AI research and deployment company.",
  "website": "https://openai.com",
  "founded": "2015",
  "location": "San Francisco, California, United States",
  "funding_total_usd": "$11.3B",
  "num_funding_rounds": 10,
  "last_round": { "type": "Secondary Market" },
  "num_investors": 34,
  "url": "https://www.crunchbase.com/organization/openai",
  "scraped_at": "2026-07-10T09:21:44.512Z"
}

Every company record contains these fields:

Field	Description
🏢 name	Company name
🔗 slug	Crunchbase organization slug (permalink)
📝 description	Short company description
🌐 website	Company website URL
📅 founded	Year the company was founded
📍 location	HQ location: city, state, country
💰 funding_total_usd	Total funding raised (formatted, e.g. $1.2B)
🔁 num_funding_rounds	Number of funding rounds
🏁 last_round	Last funding round details (type)
🤝 num_investors	Number of investors
🔎 url	Crunchbase organization page URL
⏱️ scraped_at	ISO 8601 timestamp when the record was scraped

Fields that Crunchbase does not expose for a given company are omitted from that record rather than returned as empty strings, so downstream parsing stays clean.

💼 Common use cases

Venture capital and PE research Build and refresh deal pipelines, screen companies by funding stage and investor count, and monitor which competitors just raised.

B2B sales and revenue Qualify accounts by how much they have raised (a proxy for budget), then route funding stage matched leads to the right rep.

Founder and strategy work Benchmark competitors on funding, founding year, HQ, and web presence before a raise or a market entry decision.

Sector mapping and data enrichment Assemble sector maps (every funded fintech in a keyword search) and enrich existing company lists with firmographics.

🚀 Getting started

1. Open the actor and enter a query (a company name or keyword such as openai, stripe, or fintech payments).
2. Or, for one exact company, paste its organizationSlug from crunchbase.com/organization/<slug>.
3. Set maxResults (start small, 3 to 25) and keep the residential US proxy prefill.
4. Click Start and let the browser clear Cloudflare and read the profile pages.
5. Download results as JSON, CSV, or Excel, or pull them via the Apify API.

FAQ

Do I need a Crunchbase account or API key? No. The actor reads public Crunchbase profile data through a real browser session. You never log in and never buy a Crunchbase Pro seat or Data API plan.

How is pricing calculated? Pay per event. You are charged only for each company record actually delivered. Failed, blocked, or empty searches are never charged, and a small lifetime free tier lets you test before you spend.

Why does it need a residential proxy? Crunchbase is fronted by a Cloudflare managed challenge that blocks datacenter IPs. Residential US proxies (prefilled by default) let the browser clear the challenge and render real data. Leave the prefill in place for the best success rate.

Can I scrape one exact company instead of searching? Yes. Provide the organizationSlug (the part after /organization/ in a Crunchbase URL). When set, the actor scrapes that company directly and ignores the search query.

What formats can I export? Results are stored in an Apify dataset and can be exported as JSON, CSV, Excel, or XML, or pulled programmatically via the Apify API.

Use in Claude, ChatGPT & any MCP agent

https://mcp.apify.com/?tools=themineworks/crunchbase-companies

Or call it from code with the Apify client:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('themineworks/crunchbase-companies').call({
  query: 'fintech payments',
  maxResults: 25,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

🛠️ Complete your firmographics pipeline

Pair this scraper with the rest of the themineworks company intelligence suite:

• Company Identity Resolver: verify companies via LEI, EU registration, and SEC EDGAR.
• AmbitionBox Scraper: company ratings, reviews, and salary data.
• IndiaMART Supplier Scraper: B2B supplier leads and phone numbers.

Typical flow: crunchbase-companies pulls funding history, company-identity-resolver locks legal identity, and ambitionbox-companies layers on culture and salary signals.

Found a bug or have a feature request? Open an issue on the actor's Apify Console page or reach out through the Apify profile.