💰 PitchBook Fund Data Scraper

🚀 Export private equity and venture capital fund data from PitchBook in minutes. Filter by region, fund type, size, vintage, performance metrics, and industry focus. Download as CSV, Excel, or JSON with 25+ fields per fund.

🕒 Last updated: 2026-04-23

🎁 Paid plan adds

📊 Performance metrics

🤝 Fund partners

💵 Dry powder

📅 Close dates

The PitchBook Fund Data Scraper collects fund profiles from PitchBook's database, returning 25+ fields per fund: fund name, manager, fund type, category, size, vintage year, region, status, performance metrics (IRR, DPI, TVPI), preferred investment types, industries, and geographies. Runs support up to 1,000,000 funds on a paid plan.

The Actor includes 20+ filters mirroring PitchBook's search: regions, fund types, categories, size groups, statuses, countries, vintages, preferred investment types, geographies, verticals, industries, fund locations, size ranges, and performance metric ranges (IRR, DPI, TVPI).

🎯 Target Audience	💡 Primary Use Cases
Fund managers, LP researchers, investment bankers, PE/VC analysts, family offices, placement agents	Fund benchmarking, LP prospecting, competitive analysis, market sizing, vintage year research, fundraising intelligence

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📋 What the PitchBook Fund Data Scraper does

20+ search filters in a single run:

• 🌍 Geographic filters. 8 regions, specific countries, and fund locations.
• 💼 Fund type filters. PE, VC, growth equity, real estate, infrastructure, debt.
• 📂 Category filters. Buyout, early stage, late stage, seed.
• 💰 Size filters. Min/max fund size in millions USD.
• 📅 Vintage filter. Fund vintage years.
• 📊 Performance filters. IRR, DPI, and TVPI min/max ranges.
• 🏭 Industry filters. Preferred verticals, industries, and investment types.
• ✅ Status filter. Open, closed, liquidated.
• 🔍 Text search. Search across fund and manager names.
• 📋 Required fields filter. Only return funds with valid values in selected fields.

Each fund record includes fund name, manager, type, category, size, vintage, status, region, country, location, IRR, DPI, TVPI, preferred investment types, geographies, verticals, industries, and PitchBook URL.

💡 Why it matters: manually researching PE and VC funds on PitchBook means clicking through profiles one by one. This Actor exports structured fund data at scale, ready for your LP prospecting, competitive benchmarking, or fundraising intelligence workflows.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to export PitchBook fund data.

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⚙️ Input

Input	Type	Default	Behavior
regions	array	[]	Filter by region: Americas, Europe, Asia, etc.
fundTypes	array	[]	PE, VC, Growth Equity, Real Estate, etc.
fundCategories	array	[]	Buyout, Early Stage, Late Stage, Seed.
fundSizeGroups	array	[]	Micro, small, mid, large, mega.
fundStatuses	array	[]	Open, Closed, Liquidated.
countries	array	[]	Specific countries.
vintages	array	[]	Fund vintage years.
minFundSize / maxFundSize	integer	-	Fund size range in millions USD.
minIRR / maxIRR	integer	-	IRR range in percentage.
minDPI / maxDPI	integer	-	DPI ratio range.
minTVPI / maxTVPI	integer	-	TVPI ratio range.
preferredInvestmentTypes	array	[]	Buyout, Growth, Venture, etc.
preferredIndustry	array	[]	Technology, Healthcare, Energy, etc.
searchText	string	""	Search across fund and manager names.
maxItems	integer	10	Max funds. Free: max 50. Paid: max 1,000,000.

Example: US venture capital funds with IRR above 20%.

{
    "regions": ["United States"],
    "fundTypes": ["Venture Capital"],
    "minIRR": 20,
    "maxItems": 100
}

Example: European buyout funds above $500M.

{
    "regions": ["Europe"],
    "fundCategories": ["Buyout"],
    "minFundSize": 500,
    "maxItems": 200
}

⚠️ Good to Know: performance metrics (IRR, DPI, TVPI) are only available for funds that report them to PitchBook. Use the requiredFields filter to ensure every row has the metrics you need.

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📊 Output

Each fund record contains 25+ fields. Download the dataset as CSV, Excel, JSON, or XML.

🧾 Schema

Field	Type	Example
🏢 fundName	string	"Sequoia Capital Fund XV"
👤 managerName	string	"Sequoia Capital"
💼 fundType	string	"Venture Capital"
📂 fundCategory	string	"Early Stage"
💰 fundSize	string	"$2,000M"
📅 vintage	string	"2020"
✅ status	string	"Closed"
🌍 region	string	"Americas"
🏳️ country	string	"United States"
📍 fundLocation	string	"Menlo Park, CA"
📊 irr	string	"28.5%"
📊 dpi	string	"1.8x"
📊 tvpi	string	"2.4x"
🎯 preferredInvestmentTypes	string	"Early Stage Venture"
🏭 preferredIndustries	string	"Technology, Healthcare"
🌍 preferredGeographies	string	"North America, Asia"
🏷️ preferredVerticals	string	"SaaS, Fintech, AI"
🔗 pitchbookUrl	string	"https://pitchbook.com/profiles/..."
🕒 scrapedAt	ISO 8601	"2026-04-16T00:00:00.000Z"

📦 Sample records

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✨ Why choose this Actor

	Capability
💰	150,000+ funds. Full PitchBook fund database across PE, VC, and alternatives.
🔍	20+ filters. Region, type, category, size, vintage, IRR, DPI, TVPI, industry.
📊	Performance metrics. IRR, DPI, and TVPI when reported.
💼	Fund details. Size, vintage, status, manager, and location.
🏭	Investment preferences. Types, industries, verticals, geographies per fund.
📋	Required fields filter. Ensure every row has the data you need.
⚡	Scalable. From 50-fund spot checks to full market sweeps.

📊 PitchBook tracks 150,000+ fund profiles globally. Structured access to fund data powers every LP prospecting, competitive benchmarking, and fundraising intelligence workflow.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ PitchBook Fund Scraper (this Actor)	$5 free credit, then pay-per-use	150,000+ funds	Live per run	20+ (region, type, size, IRR, etc.)	⚡ 2 min
PitchBook Enterprise license	$20,000+/year	Full platform	Real-time	Full UI	🐢 Weeks
Manual PitchBook browsing	Requires license	One at a time	Manual	UI only	🕒 Hours
Third-party fund databases	$500-5,000/month	Varies	Varies	Varies	⏳ Days

Pick this Actor when you need PitchBook fund data without the enterprise price tag, with 20+ filters and performance metrics.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the PitchBook Fund Data Scraper page on the Apify Store.
3. 🎯 Set input. Select regions, fund types, size ranges, and performance filters.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

💰 LP Prospecting & Fundraising Build targeted LP outreach lists Filter for actively deploying funds Benchmark fund sizes against your raise Track competitor fundraising activity	📊 Fund Benchmarking & Research Compare IRR/DPI/TVPI across vintages Analyze performance by category and size Track industry allocation trends Build competitive landscape reports
🏦 Investment Banking & M&A Identify fund buyers by industry preference Track dry powder by region and category Build comp sets for fundraising pitches Analyze fund lifecycle and deployment	📈 Market Intelligence Size PE/VC markets by region and strategy Track new fund launches by vintage Study geographic fund concentration Monitor alternative asset class trends

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

❓ Frequently Asked Questions

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🔌 Automating PitchBook Fund Data Scraper

Control the scraper programmatically for scheduled runs and pipeline integrations:

• 🟢 Node.js. Install the apify-client NPM package.
• 🐍 Python. Use the apify-client PyPI package.
• 📚 See the Apify API documentation for full details.

The Apify Schedules feature lets you trigger this Actor on any cron interval. Monthly pulls keep your fund intelligence database current.

🔌 Integrate with any app

PitchBook Fund Data Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications
• Airbyte - Pipe fund data into your warehouse
• GitHub - Trigger runs from commits
• Google Drive - Export datasets straight to Sheets

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🔗 Recommended Actors

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• 📊 USAspending Scraper - Federal spending data

💡 Pro Tip: browse the complete ParseForge collection for more financial and business data scrapers.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.

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⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by PitchBook Data, Inc. All trademarks mentioned are the property of their respective owners.