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Pitchbook Scraper | Investor Data

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Pitchbook Scraper | Investor Data

Pitchbook Scraper | Investor Data

Updated April 2026. PitchBook Investors Scraper for private equity and venture capital research. Pull investor contact details including emails and phone numbers from 423,000+ investors across all regions. Built for fund managers, placement agents, researchers, and analysts.

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ParseForge

ParseForge

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56

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1.1 hours

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💼 PitchBook Investors Scraper

🚀 Export investor profiles from PitchBook in minutes. Filter 423,000+ investors by region, type, AUM, status, and investment metrics. Download as CSV, Excel, or JSON with 24 fields per record.

🕒 Last updated: 2026-04-16 · 📊 24 fields per investor · 🌍 423,000+ investors · 🎯 15+ filters · 🔄 Cross-run deduplication

The PitchBook Investors Scraper collects investor profiles from PitchBook's database, returning 24 fields per record: company name, AUM, total investments, active portfolio, exits, primary contact details (name, title, email, phone), preferred industries, geographies, investor type, and status. Runs support up to 1,000,000 records on a paid plan.

The Actor includes 15+ filters: 8 geographic regions, 30+ investor types, AUM ranges, investment counts, portfolio size, exit counts, and free-text search. Built-in deduplication across runs lets you exclude investors from previous datasets or uploaded CSV/JSON files, so you only pay for new records.

🎯 Target Audience💡 Primary Use Cases
Fund managers, business development teams, investment bankers, VC associates, PE analysts, startup founders, M&A advisorsInvestor outreach, fundraising research, LP prospecting, competitive mapping, market sizing, deal sourcing

📋 What the PitchBook Investors Scraper does

Five filtering dimensions in a single run:

  • 🌍 Geographic filters. 8 regions (Americas, Europe, Asia, Africa, Oceania, etc.), plus country-level and city-level targeting.
  • 💼 Investor type filters. 30+ types: Venture Capital, Private Equity, Corporate VC, Angel, Family Office, Sovereign Wealth Fund, and more.
  • 💰 Financial metric filters. AUM min/max, total investments range, active portfolio range, exits range, investment professionals count.
  • Status filter. Actively Seeking, Acquired/Merged, Out of Business, and other statuses.
  • 🔍 Text search. Search across company names, contacts, and investment focus areas.
  • 🔄 Deduplication. Exclude investors from previous run IDs or uploaded CSV/JSON files.

Each investor record includes company name, URL, AUM, region, country, city, investor type, status, total investments, active portfolio, exits, investment professionals count, primary contact name, title, email, phone, preferred industries, and investment focus.

💡 Why it matters: manually prospecting investors on PitchBook means clicking through profiles one by one, copying contact info, and maintaining spreadsheets by hand. This Actor exports structured investor data at scale, ready for your CRM import, outreach pipeline, or market analysis.


🎬 Full Demo

Watch this demo to see how to export PitchBook investor data step by step.


⚙️ Input

InputTypeDefaultBehavior
regionsarray[]Filter by region: Africa, Americas, Asia, Canada, Europe, Middle East, Oceania, United States.
investorTypesarray[]30+ primary investor types: Venture Capital, Private Equity, CVC, Angel, Family Office, etc.
countriesarray[]Target specific countries for geographic analysis.
citiesarray[]Filter by specific cities for local market research.
investorStatusesarray[]Filter by Actively Seeking, Acquired/Merged, Out of Business, etc.
minAUM / maxAUMinteger-AUM range in millions USD (1 to 1,253,000).
minTotalInvestments / maxTotalInvestmentsinteger-Total investment count range.
minActivePortfolio / maxActivePortfoliointeger-Active portfolio company count range.
searchTextstring""Free-text search across company names, contacts, and focus areas.
requiredFieldsarray[]Only return investors with valid values in ALL selected fields (e.g. "Primary Contact Email").
maxItemsinteger10Max investors. Free: max 50. Paid: max 1,000,000.
previousRunsIdsarray[]Exclude investors already returned in previous runs (deduplication).

Example: US-based Venture Capital firms that are actively seeking investments, with contact email required.

{
"regions": ["United States"],
"investorTypes": ["Venture Capital"],
"investorStatuses": ["Actively Seeking New Investments"],
"requiredFields": ["Primary Contact Email"],
"maxItems": 500
}

Example: European Private Equity firms with AUM above $100M.

{
"regions": ["Europe"],
"investorTypes": ["Private Equity"],
"minAUM": 100,
"maxItems": 200
}

⚠️ Good to Know: the requiredFields filter is useful for outreach workflows. Setting it to ["Primary Contact Email", "Website"] ensures every row has actionable contact data, so you don't waste time on incomplete records.


📊 Output

Each investor record contains 24 fields. Download the dataset as CSV, Excel, JSON, or XML.

🧾 Schema

FieldTypeExample
🏢 companyNamestring"Sequoia Capital"
🔗 companyUrlstring"https://www.sequoiacap.com"
💰 aumstring"$85,000M"
🌍 hqGlobalRegionstring"Americas"
🌐 hqSubRegionstring"United States"
🏳️ countrystring"United States"
🏙️ citystring"Menlo Park"
💼 primaryInvestorTypestring"Venture Capital"
📋 otherInvestorTypestring"Growth/Expansion"
investorStatusstring"Actively Seeking New Investments"
📊 totalInvestmentsnumber1500
📈 activePortfolionumber250
🚪 totalExitsnumber500
👥 investmentProfessionalsnumber45
👤 primaryContactNamestring"John Smith"
🏷️ primaryContactTitlestring"Managing Partner"
📧 primaryContactEmailstring"john@sequoiacap.com"
📞 primaryContactPhonestring"+1 (650) 854-3927"
🌐 websitestring"https://www.sequoiacap.com"
🎯 preferredIndustriesstring"Technology, Healthcare, Consumer"
📍 investmentGeographiesstring"North America, Asia"
🔗 pitchbookUrlstring"https://pitchbook.com/profiles/..."
🏷️ runTagstring | null"batch-1"
🕒 scrapedAtISO 8601"2026-04-16T00:00:00.000Z"

📦 Sample records


✨ Why choose this Actor

Capability
🌍423,000+ investors. Full PitchBook investor database across every region.
🎯15+ filters. Region, type, AUM, status, investment metrics, and free-text search.
👤Contact details. Primary contact name, title, email, and phone per investor.
💰Financial metrics. AUM, total investments, active portfolio, exits, and investment professionals count.
🔄Cross-run deduplication. Exclude investors from previous runs or uploaded CSV/JSON, so you only pay for new records.
📋Required fields filter. Only return investors that have valid email, website, or other fields you need.
Scalable. From 50-investor spot checks to full 1M-record market sweeps.

📊 PitchBook tracks 423,000+ investor profiles globally. This Actor gives you structured access to that data without a PitchBook Enterprise license.


📈 How it compares to alternatives

ApproachCostCoverageRefreshFiltersSetup
⭐ PitchBook Investors Scraper (this Actor)$5 free credit, then pay-per-use423,000+ investorsLive per runregion, type, AUM, status, metrics, text⚡ 2 min
PitchBook Enterprise license$20,000+/yearFull platformReal-timeFull UI🐢 Weeks of sales process
Manual PitchBook browsingRequires licenseManualManualPitchBook UI🕒 Hours per batch
Third-party investor databases$500-5,000/monthVariesVariesVaries⏳ Days

Pick this Actor when you need PitchBook investor data without the enterprise price tag, with filters and deduplication built in.


🚀 How to use

  1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
  2. 🌐 Open the Actor. Go to the PitchBook Investors Scraper page on the Apify Store.
  3. 🎯 Set input. Select regions, investor types, AUM ranges, and set maxItems.
  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.


💼 Business use cases

💰 Fundraising & LP Prospecting

  • Build targeted investor outreach lists by type and region
  • Filter for investors actively seeking new commitments
  • Ensure every row has contact email via requiredFields
  • Deduplicate against previous campaigns

📊 Market Intelligence & Competitive Mapping

  • Map investor landscape by region and AUM tier
  • Track competitor investor portfolios and exits
  • Benchmark active portfolio sizes by investor type
  • Size addressable markets for fundraising

🏦 Investment Banking & M&A

  • Source potential buyers by industry preference
  • Identify investors with exit track records
  • Build comp sets by AUM, geography, and sector
  • Enrich deal pipeline with investor contact data

🚀 Startup Founders & BD Teams

  • Find VCs and angels in your vertical and geography
  • Research investor thesis and preferred industries
  • Build personalized outreach with contact details
  • Track which investors are currently active vs merged

🔌 Automating PitchBook Investors 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. Weekly pulls keep your investor CRM enriched with fresh profiles and contact data.


❓ Frequently Asked Questions


🔌 Integrate with any app

PitchBook Investors Scraper connects to any cloud service via Apify integrations:

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

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh investor profiles into your CRM, or alert your BD team in Slack.


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


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


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