Crunchbase Company & Funding Scraper

Extract comprehensive company data from Crunchbase — funding rounds, investors, valuations, key people, acquisitions, tech stack, and more. Built for investors, VCs, analysts, and growth teams who need structured startup intelligence at scale.

Features

• Full company profiles — name, description, founded date, HQ, industry, categories, operating status
• Funding data — total raised, funding rounds, last round type/amount, investor names, lead investors
• Key people — founders, CEO, CTO, board members with titles and LinkedIn URLs
• Acquisitions — acquired companies with dates, prices, and types
• Financial signals — revenue range, employee count, IPO status, stock exchange/symbol
• Social links — website, LinkedIn, Twitter, Facebook, contact email, phone
• Tech stack — technologies used by the company
• Multiple discovery modes — direct URLs, keyword search, category browse, funding stage filter
• 5 extraction strategies — NEXT_DATA JSON, LD+JSON, inline scripts, meta tags, DOM parsing
• Anti-bot protection — 12+ rotating user agents, random delays, Cloudflare detection, rate limit handling
• Google fallback — discovers Crunchbase profiles via Google when direct search is blocked
• Pay-per-event — charged per company profile scraped ($0.008/company)
• Proxy support — residential proxies recommended for large-scale scraping

Use Cases

Investor Research & Deal Flow

Monitor startups in specific categories and funding stages. Track Series A companies in AI, fintech, or climate tech. Build a pipeline of investment opportunities with complete funding history and investor networks.

Competitive Intelligence

Map competitors in your industry with detailed funding, employee count, revenue range, and key hires. Understand who's gaining traction and who's raising capital.

Market Mapping & Analysis

Build comprehensive market maps by category — how many companies exist in a space, total funding deployed, average round sizes, most active investors. Export structured data for analysis in Excel, Airtable, or any BI tool.

Lead Generation for B2B Sales

Find companies by category, size, and funding stage for targeted outreach. Extract decision-maker names (CEO, CTO, VP Engineering) with titles for personalized sales campaigns.

Recruitment Intelligence

Identify fast-growing companies (recent large funding rounds) that are likely hiring. Find key people and their backgrounds. Track executive movements across companies.

VC Portfolio Analysis

Analyze a VC firm's portfolio by scraping their investments. Compare portfolio companies by funding, growth stage, and category. Identify co-investment patterns.

Input

Field	Type	Default	Description
companyUrls	Array	[]	Direct Crunchbase organization URLs to scrape
searchQuery	String	(empty)	Search for companies by name or keyword
category	String	(empty)	Filter by Crunchbase category (e.g., artificial-intelligence)
fundingStage	String	any	Filter by funding stage: seed, series_a, series_b, series_c, ipo
maxResults	Integer	200	Maximum company profiles to scrape (1-5,000)
proxyConfiguration	Object	(none)	Apify proxy settings (residential recommended)

Input Examples

Scrape specific companies by URL

{
    "companyUrls": [
        "https://www.crunchbase.com/organization/openai",
        "https://www.crunchbase.com/organization/stripe",
        "https://www.crunchbase.com/organization/anthropic",
        "https://www.crunchbase.com/organization/figma"
    ],
    "maxResults": 10
}

Find AI startups at Series A

{
    "searchQuery": "artificial intelligence",
    "fundingStage": "series_a",
    "maxResults": 100
}

Browse fintech companies

{
    "searchQuery": "fintech payments",
    "category": "fintech",
    "maxResults": 200
}

Climate tech companies that went public

{
    "searchQuery": "climate technology renewable energy",
    "fundingStage": "ipo",
    "maxResults": 50
}

Seed-stage cybersecurity startups

{
    "searchQuery": "cybersecurity",
    "category": "cybersecurity",
    "fundingStage": "seed",
    "maxResults": 150
}

Common Categories

Category Slug	Description
artificial-intelligence	AI and machine learning companies
fintech	Financial technology
health-care	Healthcare and medtech
e-commerce	Online retail and marketplaces
saas	Software as a Service
biotechnology	Biotech and life sciences
cybersecurity	Security technology
clean-technology	Clean energy and sustainability
blockchain	Blockchain and crypto
edtech	Education technology
real-estate	PropTech and real estate
developer-tools	Developer infrastructure
enterprise-software	B2B enterprise solutions
robotics	Robotics and automation

Output

Each company profile is saved to the default dataset with comprehensive fields:

{
    "name": "OpenAI",
    "legalName": "OpenAI, Inc.",
    "description": "OpenAI is an AI research and deployment company.",
    "longDescription": "OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity...",
    "founded": "2015-12-11",
    "foundedYear": 2015,
    "headquarters": "San Francisco, California, United States",
    "city": "San Francisco",
    "region": "California",
    "country": "US",
    "industry": "Artificial Intelligence",
    "categories": ["Artificial Intelligence", "Machine Learning", "SaaS"],
    "categoryGroups": ["Artificial Intelligence", "Data and Analytics", "Software"],
    "website": "https://openai.com",
    "linkedinUrl": "https://www.linkedin.com/company/openai",
    "twitterUrl": "https://twitter.com/OpenAI",
    "facebookUrl": null,
    "contactEmail": "info@openai.com",
    "fundingTotal": "$11.3B",
    "fundingTotalUsd": 11300000000,
    "fundingRounds": 7,
    "lastFundingRound": "Series Unknown",
    "lastFundingDate": "2024-02-01",
    "lastFundingAmount": 6600000000,
    "investors": ["Microsoft", "Sequoia Capital", "Andreessen Horowitz", "Thrive Capital", "Khosla Ventures"],
    "leadInvestors": ["Microsoft", "Thrive Capital"],
    "numInvestors": 12,
    "employeeCount": "c_01001_05000",
    "employeeCountRange": "1,001-5,000",
    "revenueRange": "$100M+",
    "operatingStatus": "active",
    "ipoStatus": "private",
    "stockExchange": null,
    "stockSymbol": null,
    "acquisitions": [
        {
            "acquireeName": "Global Illumination",
            "announcedDate": "2023-08-16",
            "price": null,
            "type": "acquisition"
        }
    ],
    "keyPeople": [
        { "name": "Sam Altman", "title": "CEO", "linkedinUrl": null },
        { "name": "Greg Brockman", "title": "President", "linkedinUrl": null },
        { "name": "Mira Murati", "title": "CTO", "linkedinUrl": null }
    ],
    "techStack": [],
    "crunchbaseUrl": "https://www.crunchbase.com/organization/openai",
    "crunchbaseSlug": "openai",
    "crunchbaseRank": 15,
    "imageUrl": "https://images.crunchbase.com/image/upload/...",
    "extractionStrategies": ["nextData", "metaTags"],
    "scrapedAt": "2026-03-02T12:00:00.000Z"
}

Output Fields Reference

Field	Type	Description
name	String	Company name
legalName	String	Legal entity name
description	String	Short company description
longDescription	String	Full company description
founded	String	Founded date (ISO format)
foundedYear	Integer	Year founded
headquarters	String	Full HQ location string
city / region / country	String	Location components
industry	String	Primary industry
categories	Array	All Crunchbase categories
website	String	Company website URL
linkedinUrl / twitterUrl / facebookUrl	String	Social media links
fundingTotal	String	Formatted total funding (e.g., "$11.3B")
fundingTotalUsd	Number	Total funding in USD
fundingRounds	Integer	Number of funding rounds
lastFundingRound	String	Latest round type (e.g., "Series B")
lastFundingDate	String	Date of last funding round
lastFundingAmount	Number	Amount raised in last round (USD)
investors	Array	All investor names
leadInvestors	Array	Lead investor names
employeeCount	String	Employee count enum or range
revenueRange	String	Estimated revenue range
ipoStatus	String	IPO status (private/public)
acquisitions	Array	Companies acquired (name, date, price)
keyPeople	Array	Founders, executives, board (name, title)
techStack	Array	Technologies used
crunchbaseUrl	String	Crunchbase profile URL
crunchbaseRank	Integer	Crunchbase rank score
extractionStrategies	Array	Which parsing strategies yielded data

Performance Tips

1. Use residential proxies — Crunchbase has aggressive anti-bot protection. Residential proxies are strongly recommended for anything beyond a few companies.
2. Start with direct URLs — Providing specific company URLs is the most reliable mode. Search/discovery depends on Google availability.
3. Keep maxResults reasonable — Start with 10-50 companies to test, then scale up.
4. Category + keyword — Combining a category filter with a search query gives the most targeted results.
5. Expect partial data — Crunchbase paywalls some data behind their Pro plan. The scraper extracts everything publicly available.

Anti-Bot Handling

Crunchbase uses Cloudflare and their own rate limiting. This actor handles it by:

• Rotating through 12+ realistic browser user agents
• Adding random delays (1.5-4 seconds) between requests
• Limiting to 15 requests/minute by default
• Detecting Cloudflare challenges, CAPTCHAs, and rate limit pages
• Falling back to Google search for company discovery
• Using 5 independent extraction strategies (redundancy)
• Retrying blocked requests with exponential backoff

For best results at scale, use Apify residential proxies with automatic rotation.

Pricing (Pay Per Event)

This actor uses Apify's pay-per-event pricing model. You are charged $0.008 per company profile successfully scraped and saved to the dataset. No charge for failed extractions or filtered-out companies.

Legal Notice

This actor is provided as a technical tool for research and analysis. Users are responsible for ensuring their use complies with Crunchbase's Terms of Service and all applicable laws. Crunchbase data is subject to their own licensing terms.

Integration — Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("sovereigntaylor/crunchbase-scraper").call(run_input={
    "searchTerm": "crunchbase",
    "maxResults": 50
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item.get('title', item.get('name', 'N/A'))}")

Integration — JavaScript

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('sovereigntaylor/crunchbase-scraper').call({
    searchTerm: 'crunchbase',
    maxResults: 50
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => console.log(item.title || item.name || 'N/A'));