🏢 Crunchbase Company Scraper

Extract complete Crunchbase company profiles with 104+ data fields — funding rounds, investor details, key employees, AI predictions, market signals, and 100 similar companies per profile.

No setup required. No Pro account. No cookies. Paste company URLs, click Start, get structured data.

✅ 104+ Data Fields	✅ AI Growth Predictions	✅ 100 Similar Companies
✅ Full Funding History	✅ Market Signal Intelligence	✅ No Pro Account Needed

💡 Unlike other Crunchbase scrapers that require a paid Pro account or cookies, this actor works out of the box for everyone. Just paste company URLs and run.

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🚀 Why This Scraper?

Most Crunchbase scrapers give you basic company info. This one extracts everything publicly available — 104 structured fields from Crunchbase public profiles, no Pro account or cookies required. Some Pro-gated fields (direct emails, full contact info) require authentication and are not included.

Feature	This Scraper	Crunchbase API (Basic)	Other Scrapers
Data fields per company	104+	~30	10-20
AI predictions	✅	❌	❌
Signal intelligence	✅	❌	❌
Similar companies	100 per profile	5	0-5
Funding round details	✅ Full history	Limited	Basic
Key employee data	✅ With titles & dates	Names only	❌
Technology stack	✅ BuiltWith data	❌	❌
Web traffic data	✅ SemRush metrics	❌	❌
Intent signals	✅ Bombora surges	❌	❌
Setup required	None	API key + code	Varies
Price	$8 / 1,000 companies	$29-49/month + limits	Varies

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📊 What Data You Get

Company Basics

Field	Example
name	OpenAI
legal_name	OpenAI, Inc.
short_description	AI research and deployment company
description	Full company description
website	https://openai.com
founded_on	2015-12-11
company_type	For Profit
operating_status	Active
ipo_status	Private
num_employees_enum	c_01001_05000
location	San Francisco, California, US
categories	["Artificial Intelligence", "Machine Learning"]
linkedin, twitter, facebook	Social profile URLs
contact_email, phone_number	Direct contact info

Funding & Financial

Field	Example
funding_total_disclosed	$11,300,000,000
num_funding_rounds	7
last_funding_type	Secondary Market
funding_rounds	Array with date, amount, type, investors per round
num_investors	28
num_lead_investors	5

Investors

Field	Example
investors	Full investor list with names, types, lead status
num_investments	Investment count (if company invests)
num_lead_investments	Lead investment count
investments	Portfolio companies

People & Leadership

Field	Example
founders	["Sam Altman", "Greg Brockman", ...]
key_employees	Array with name, title, start date
advisors	Array with name, title
num_current_positions	46
num_contacts	1013

📡 Signal Intelligence

Field	Source	Example
semrush_visits_latest_month	SemRush	542,840,383
semrush_visits_mom_pct	SemRush	-5.3%
builtwith_num_technologies_used	BuiltWith	86
technologies	BuiltWith	Full technology stack
bombora_surges	Bombora	Buyer intent signals
siftery_products	Siftery	Products used internally
apptopia_total_apps	Apptopia	30
apptopia_total_downloads	Apptopia	Total app downloads
aberdeen_site_it_spend	Aberdeen	IT spend estimate

📈 Scores & Rankings

Field	Example
heat_score	95
growth_score	Growth metric
rank_org_company	3
category_ranks	Rankings within each category

🤖 AI Predictions

Crunchbase's proprietary machine learning predictions:

Prediction Type	Description
Acquisition likelihood	Probability of being acquired
IPO likelihood	Probability of going public
Next funding round	Predicted next raise
Growth trajectory	Projected growth path
Closure risk	Risk of shutting down

📰 Key Events

Event Type	Description
key_employee_changes	C-suite and leadership changes
layoffs	Workforce reduction events
legal_proceedings	Lawsuits and legal events
partnership_announcements	Strategic partnerships
product_launches	New product releases
awards	Industry awards and recognition

🔗 Similar Companies

Up to 100 similar companies per profile, each with:

• Company name and UUID
• Similarity score
• Crunchbase permalink

Perfect for competitive mapping, market analysis, and lead discovery.

Additional Fields

Field	Description
products	Company products
acquisitions	Companies acquired
funds	Investment funds
sub_organizations	Subsidiaries
exits	Exit events
diversity_spotlights	Diversity certifications
hubs	Crunchbase hubs

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⚡ How to Use

Step 1: Add Company URLs

Paste Crunchbase company URLs or just company slugs:

openai
https://www.crunchbase.com/organization/anthropic
stripe
databricks

All formats work — full URLs, short URLs, or just the company name slug.

Step 2: Configure (Optional)

Setting	Default	Description
Max Concurrency	2	Parallel extractions (1-5)
Max Retries	3	Retry attempts per company
Output Fields	All	Filter to specific data categories

Step 3: Click Start

That's it. Results appear in the Dataset tab as they're extracted.

Step 4: Export

Download your data as JSON, CSV, or Excel from the Dataset tab.

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📋 Output Field Groups

Filter output to only the data you need:

Group	Fields Included
basic	Name, description, location, website, social links, founding info
funding	Funding rounds, totals, last funding type
investors	Investor list, lead investors, investment counts
people	Key employees, advisors, founders, contact counts
products	Products, Siftery products, apps
signals	Heat/growth scores, SemRush, BuiltWith, Bombora
predictions	AI-powered growth and exit predictions
events	Employee changes, layoffs, legal, partnerships
similar	100 similar companies with similarity scores

Leave empty to get all 104+ fields.

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📦 Output Example

{
    "name": "OpenAI",
    "legal_name": "OpenAI, Inc.",
    "uuid": "cb45d74c-...",
    "permalink": "openai",
    "crunchbase_url": "https://www.crunchbase.com/organization/openai",
    "short_description": "OpenAI is an AI research and deployment company.",
    "website": "https://openai.com",
    "founded_on": "2015-12-11",
    "company_type": "For Profit",
    "operating_status": "Active",
    "ipo_status": "Private",
    "num_employees_enum": "c_01001_05000",
    "location": "San Francisco, California, United States",
    "categories": ["Artificial Intelligence", "Machine Learning"],
    "funding_total_disclosed": "$11,300,000,000",
    "num_funding_rounds": 7,
    "num_investors": 28,
    "heat_score": 95,
    "rank_org_company": 3,
    "semrush_visits_latest_month": 542840383,
    "builtwith_num_technologies_used": 86,
    "founders": ["Sam Altman", "Greg Brockman", "Ilya Sutskever"],
    "funding_rounds": [
        {
            "announced_on": "2023-04-28",
            "money_raised": "$300,000,000",
            "funding_type": "Secondary Market",
            "num_investors": 5
        }
    ],
    "key_employees": [
        {
            "name": "Sam Altman",
            "title": "CEO",
            "started_on": "2019-03-11"
        }
    ],
    "predictions": [
        {
            "type": "ipo_likelihood",
            "value": "High"
        }
    ],
    "similar_companies": [
        {
            "name": "Anthropic",
            "uuid": "...",
            "permalink": "anthropic"
        }
    ]
}

---

📊 Dataset Views

Three pre-configured views for different use cases:

1. Overview

Key company information at a glance — name, website, location, employee count, funding summary, and scores.

2. Funding Details

Deep dive into financial data — all funding rounds, investor lists, lead investors, and funding totals.

3. Full Profile

All 104+ fields in a single table — perfect for export to spreadsheets or BI tools.

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🎯 Use Cases

Venture Capital & Investment Research

• Screen companies by funding stage, growth signals, and AI predictions
• Map investor networks and co-investment patterns
• Track portfolio company performance with signal data
• Identify acquisition targets using similarity matching

Sales & Business Development

• Build targeted prospect lists with company size, funding, and tech stack
• Identify companies using specific technologies (BuiltWith data)
• Track buyer intent signals (Bombora surges) for timely outreach
• Enrich CRM data with 104+ fields per company

Competitive Intelligence

• Monitor competitor funding, hiring, and product launches
• Map competitive landscapes using 100 similar companies per profile
• Track market signals — web traffic trends, technology changes, intent data
• Detect early warning signs — layoffs, legal proceedings, leadership changes

Market Research & Analysis

• Analyze funding trends across industries and geographies
• Build comprehensive market maps with company relationships
• Track technology adoption patterns across sectors
• Generate datasets for market sizing and segmentation

AI & Machine Learning

• Build training datasets with rich company features
• Create company embeddings from structured profile data
• Feed prediction models with funding, signal, and growth data
• Generate labeled datasets for company classification tasks

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💻 API Integration

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("YOUR_ACTOR_ID").call(run_input={
    "companyUrls": ["openai", "anthropic", "stripe", "databricks"],
    "maxConcurrency": 2,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['name']}: {item.get('heat_score')} heat, "
          f"{item.get('num_funding_rounds')} rounds, "
          f"{item.get('num_investors')} investors")

Node.js

import { ApifyClient } from 'apify-client';

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

const run = await client.actor('YOUR_ACTOR_ID').call({
    companyUrls: ['openai', 'anthropic', 'stripe'],
    maxConcurrency: 2,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => {
    console.log(`${item.name}: ${item.heat_score} heat, ${item.num_funding_rounds} rounds`);
});

cURL

# Start a run
curl -X POST "https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "companyUrls": ["openai", "anthropic"],
    "maxConcurrency": 2
  }'

# Get results
curl "https://api.apify.com/v2/datasets/DATASET_ID/items?format=json" \
  -H "Authorization: Bearer YOUR_API_TOKEN"

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💰 Pricing

Simple pay-per-result pricing — $0.008 per company profile (~$8 per 1,000 companies). No monthly subscriptions, no API limits, no setup fees.

	This Scraper	Crunchbase Basic API	Crunchbase Pro
Cost	$8 / 1,000 companies	$29/month	$49/month
Data fields	104+	~30	~50
AI predictions	✅	❌	❌
Similar companies	100	5	10
Rate limits	None	200/min	200/min
Export formats	JSON, CSV, Excel	JSON	JSON, CSV
Setup	None	API key + code	API key + code

You only pay for results — if a company fails to scrape, you are not charged.

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❓ FAQ

How many companies can I scrape at once? There's no hard limit. The scraper processes companies in parallel (configurable concurrency). For large batches (100+ companies), we recommend concurrency of 2 and letting it run.

What company URL formats are supported? Full Crunchbase URLs (https://www.crunchbase.com/organization/openai), short URLs (crunchbase.com/organization/stripe), or just the company slug (openai).

How fresh is the data? Data is extracted in real-time from Crunchbase. You always get the latest available information.

What if a company page doesn't exist? The scraper logs a warning and continues with the remaining companies. Failed companies are reported in the run log.

Can I filter which fields I get? Yes! Use the Output Field Groups setting to select only the data categories you need (e.g., just funding + investors).

How reliable is the extraction? The scraper includes automatic retries and intelligent error handling. Typical success rate is 95%+ for valid company URLs.

Can I schedule recurring runs? Yes — use Apify's built-in scheduling to run the scraper daily, weekly, or at any custom interval.

Is the data structured? Yes. Every field is cleaned, typed, and consistently structured. Arrays are properly nested. Dates are ISO-formatted. Monetary values include currency.

Can I integrate this with my existing tools? Absolutely. Use the Apify API or client libraries (Python, Node.js, etc.) to integrate with any workflow. Export directly to Google Sheets, Slack, email, or webhooks.

What about companies not on Crunchbase? This scraper only works with companies that have a Crunchbase profile. If a company isn't on Crunchbase, it won't return results.

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📬 Support

Having issues or need help? Open an issue on the actor page or contact us through Apify.

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Built for researchers, investors, and data teams who need comprehensive company intelligence without the complexity.