PitchBook Scraper

Looking up investors one PitchBook profile at a time is slow, and copying firm details into a sheet by hand is worse. This PitchBook scraper does the clicking for you: hand it a list of investor IDs or profile links and it returns each firm as one tidy row — name, investor type, deal counts, contact links, and a sample of recent deals. Build sourcing lists, refresh your CRM, or pull a whole batch of investor data in one run, no browsing required.

What you get

Each investor profile comes back as a single row with a steady set of columns. Anything PitchBook doesn't show publicly comes back as null rather than disappearing, so your dataset stays rectangular when you load it into a sheet or database. The data falls into a few groups:

• Firm identity — firmName, logoLink, investorCategory, activityStatus, seekingStatus
• Activity counts — teamSize, dealsTotal, portfolioSize, exitsTotal
• Company details — firmBio, firmWebsite, foundedYear, tradeBody, mainInvestorType, additionalInvestorTypes, officeAddress, linkedinLink, twitterLink
• Recent deals — latestDeals, a public sample of up to 10 deals, each with company name, profile link, deal date, deal type, industry, company stage, and lead partner where shown
• Metadata — investorRef, profileLink, collectedAt, errorMessage

Quick start

1. Click Try for free and open the input form.
2. Paste one or more PitchBook investor IDs or profile links into Investor IDs or profile links (mix both formats if you like).
3. Set a Results limit to cap the run, and adjust the Timeout if you expect large batches.
4. Hit Start, then export your results as JSON, CSV, Excel, or XML when the run finishes.

Use cases

• Investor sourcing — build targeted lists of VC, PE, and angel firms by type, portfolio size, or activity level
• CRM enrichment — keep firm descriptions, websites, and social links current without manual edits
• Fund benchmarking — compare deal counts, portfolio size, and exits across competing investors
• Outreach prep — pull office addresses, LinkedIn, and Twitter links for bulk contact research
• Deal tracking — watch each firm's recent deals to spot where active investors are putting money
• Market mapping — group investors by category and founding year to chart a sector's funding landscape

Input

Field	Type	Required	Description
investorProfiles	array of strings	Yes	PitchBook investor IDs (such as 10115-49) or full profile links. Mixed formats are fine; duplicates are removed automatically.
resultsLimit	integer	No	Maximum number of profiles to process per run. Default 50; max 1000.
timeoutSeconds	integer	No	Seconds to wait for each profile before giving up. Default 45; raise it for large batches.

Example input

{
    "investorProfiles": [
        "10115-49",
        "https://pitchbook.com/profiles/investor/62847-12"
    ],
    "resultsLimit": 50,
    "timeoutSeconds": 45
}

Output

Every investor profile produces one row. Each field is always present, with null filling anything PitchBook keeps behind its paywall, so your dataset keeps a consistent shape.

Example output

{
    "investorRef": "10115-49",
    "profileLink": "https://pitchbook.com/profiles/investor/10115-49",
    "firmName": "Northbridge Ventures",
    "logoLink": "https://image.pitchbook.com/abc123logo.png",
    "investorCategory": "Venture Capital",
    "activityStatus": "Active",
    "seekingStatus": "Actively Seeking New Investments",
    "teamSize": 84,
    "dealsTotal": 1473,
    "portfolioSize": 612,
    "exitsTotal": 298,
    "firmBio": "Founded in 2004, Northbridge Ventures is a venture capital firm based in Boston, Massachusetts. The firm invests in software, fintech, healthcare, and climate technology companies.",
    "firmWebsite": "https://www.northbridgeventures.com",
    "foundedYear": 2004,
    "tradeBody": "National Venture Capital Association (NVCA)",
    "mainInvestorType": "Venture Capital",
    "additionalInvestorTypes": "Accelerator/Incubator",
    "officeAddress": {
        "street": "120 Beacon Street, Suite 400",
        "city": "Boston",
        "stateRegion": "MA",
        "postalCode": "02116",
        "country": "United States"
    },
    "linkedinLink": "https://www.linkedin.com/company/northbridge-ventures",
    "twitterLink": "https://twitter.com/northbridgevc",
    "latestDeals": [
        {
            "companyName": "Cloudwell",
            "companyProfileUrl": "https://pitchbook.com/profiles/company/845112-21",
            "dealDate": "18-Jun-2026",
            "dealType": "Series A",
            "industry": "Software Development Applications",
            "companyStage": "Generating Revenue",
            "leadPartner": null
        },
        {
            "companyName": "Verdant Bio",
            "companyProfileUrl": "https://pitchbook.com/profiles/company/391204-08",
            "dealDate": "02-Jun-2026",
            "dealType": null,
            "industry": "Biotechnology",
            "companyStage": "Startup",
            "leadPartner": null
        }
    ],
    "collectedAt": "2026-06-29T10:00:00+00:00",
    "errorMessage": null
}

Output fields

Field	Type	Description
investorRef	string	Numeric investor ID parsed from the input or URL
profileLink	string	Full PitchBook profile URL
firmName	string	Name of the investor firm
logoLink	string	Absolute URL to the firm's logo image
investorCategory	string	Investor type, such as Venture Capital, Private Equity, or Angel
activityStatus	string	Active or Inactive
seekingStatus	string	Whether the firm is actively seeking new investments
teamSize	integer	Number of professionals listed on the profile
dealsTotal	integer	Total investment count shown on the profile
portfolioSize	integer	Active portfolio company count
exitsTotal	integer	Total number of exits
firmBio	string	The firm's description or bio paragraph
firmWebsite	string	The firm's website URL
foundedYear	integer	Year the firm was founded
tradeBody	string	Trade association membership, such as NVCA
mainInvestorType	string	Primary investor classification
additionalInvestorTypes	string	Any extra investor type labels
officeAddress	object	Corporate office: street, city, stateRegion, postalCode, country
linkedinLink	string	LinkedIn company page URL; null if not listed
twitterLink	string	Twitter/X profile URL; null if not listed
latestDeals	array	Up to 10 recent deals, each with company name, profile link, date, type, industry, stage, and lead partner
collectedAt	string	UTC ISO 8601 timestamp of when the row was captured
errorMessage	string	Reason a profile failed; null on success

Tips for best results

• Start small. Run a handful of IDs before a large batch so any input-format issues surface in the first few rows.
• Grab the ID from the URL. Open a firm's PitchBook page; the ID is the last segment of the path, like 10115-49 in /profiles/investor/10115-49. You can paste the full link or just the ID.
• Cap test runs with resultsLimit. Keep it low while you confirm the output fits your pipeline, then raise it for the full list.
• Raise timeoutSeconds for big batches. If you push past a few hundred profiles and see timeout errors, set it to around 60.
• Expect some null values. Deal sizes, lead partner names, and other subscription-gated details stay behind PitchBook's paywall and come back empty — that is normal, not a failure.

How can I use PitchBook investor data?

How can I use the PitchBook Scraper to build an investor sourcing list? Paste a batch of investor IDs or profile links and the scraper returns each firm with its type, deal counts, website, and recent deals. Filter the rows by investorCategory, portfolioSize, or dealsTotal to shortlist the funds that match your sector and stage — a quick base layer for any fundraising or deal-sourcing project.

How can I keep my investor CRM up to date with PitchBook data? Feed your existing list of investor IDs and run it on a schedule. Each row brings back the current firmBio, firmWebsite, linkedinLink, and twitterLink, so you can refresh stale records in bulk instead of opening profiles one by one.

How can I compare venture and private equity firms with PitchBook data? Scrape a group of firms in the same run and line up dealsTotal, portfolioSize, and exitsTotal side by side. Add foundedYear and investorCategory and you can benchmark how active each fund is and how its portfolio stacks up against its peers.

How can I track recent deals from PitchBook investors? Every profile includes latestDeals, a public sample of up to 10 recent deals with company name, date, type, industry, and stage. Pull a set of firms you follow and watch where active investors are placing money across sectors.

Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.