Crunchbase Scraper: Company Funding & Investor Data, No API

Crunchbase Scraper: Company Funding & Investor Data

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Updated 11 Oct 2026: working and back in the Store. Tested today on keyword search ("fintech payments", 2 companies) and on a direct slug lookup ("stripe"). It reads Crunchbase over plain HTTP through Apify's UNBLOCKER proxy, with no browser. Free to run: there is no per company charge, you pay only your own Apify platform usage. If it saves you time, bookmark it so you can find it again.

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 | ✅ MCP-ready for AI agents | ✅ No browser (plain HTTP)

Features

Keyword search and direct slug lookup in the same actor. Full funding history: total raised, round count, last round type, investor count (where Crunchbase does not paywall the field for a logged out visitor, see the note below). Firmographics: HQ location, founding year, website, and description. Fetches Crunchbase's own autocomplete and organization page endpoints over plain HTTP through Apify's UNBLOCKER proxy group. No browser, and no Cloudflare challenge to solve on your side. Free to run: no per company charge, you pay only your own Apify platform usage.

How it works

Crunchbase gates most of its data behind Crunchbase Pro and the paid Data API, and fronts the whole site with a Cloudflare managed challenge. This actor calls Crunchbase's own public autocomplete endpoint for discovery, fetches the organization page for each match, and reads the company data embedded in that page's own hydration JSON, all over plain HTTP through Apify's UNBLOCKER proxy group, which resolves the Cloudflare challenge server-side so no browser is ever launched.

Two fields, founded (founding year) and funding_total_usd, are shown to a logged-out visitor only as a locked placeholder on Crunchbase's own page, not the real value; when that's what the page returns, the actor omits the field from that record rather than guessing or fabricating a number.

The intent is public profile data without a Crunchbase account, an API key or paid seats. There is no per company charge; a run costs only the Apify platform usage it consumes.

🧾 Input configuration

{
  "query": "openai",
  "maxResults": 3
}

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)

Guide and FAQs: Crunchbase Scraper on themineworks.com. Tutorial: Scrape Crunchbase Profiles in Python: Funding, Investors. | 🔁 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).
4. Click Start and let it fetch 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 over plain HTTP. You never log in and never buy a Crunchbase Pro seat or Data API plan.

How is pricing calculated? The Actor is free: there is no per company or per result charge. You pay only your own Apify platform usage (compute and proxy), which is small for a run of a few companies.

Why is founded or funding_total_usd missing on some companies? Crunchbase shows those two fields as a locked placeholder to logged-out visitors rather than the real value. When that happens the actor omits the field rather than return a guessed or fabricated number. Every other field (name, description, website, location, investor count, funding-round count, last round type) is unaffected.

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.

Related guides

• How to Scrape Crunchbase Company Profiles in Python (Funding, Investors, No API Key)

Last verified: 2026-08-22