VC Database & Investor Watchlist — Owler-powered Investor Data

Also known as: VC database · investor database · venture capital data API · investor portfolio tracker · VC sourcing tool · PE database · investor watchlist · deal flow tracker · M&A target research · investor firmographics · corporate VC tracker · sovereign wealth data.

What does VC Database & Investor Watchlist do?

Investor-lens projection of Owler.com — feed in a VC, PE, corporate VC, or sovereign wealth fund (by name, domain, slug, or URL) and get back the investor's tracked deal history, M&A activity, firmographics, leadership, news timeline, and competitor peer-set as clean JSON. Use this when you want Owler-grade public data without a Pro subscription. Note: depth is bound by what Owler tracks — this is a fast, cheap public-source feed, not a substitute for paid VC databases (PitchBook, Crunchbase Pro, CB Insights) that offer IRR/DPI/TVPI, fund vintage cohorts, or proprietary LP relationships.

VC Database & Investor Watchlist scrapes Owler.com public investor profile pages and returns structured venture capital, private equity, and corporate VC data as clean JSON — no login, no subscription, pay only for the firms you actually pull. For any list of investors (by URL, slug, plain name, or website domain) it returns:

• Recent investments: the investor's recently tracked deals visible on Owler — target name, amount, date, ownership label, target's Owler profile URL. Owler typically surfaces the most recent 5–20 deals per firm; totalInvestments shows the lifetime count.
• First investment: the firm's earliest tracked deal — useful for plotting fund vintages and firm-history depth.
• Total investments & total acquisitions: counts at the firm level — quickly rank investors by activity volume.
• M&A history: full acquisition timeline for PE firms and corporate VCs that also acquire — date, target, source URLs.
• Investor firmographics: founded year, industry, full address, AUM / revenue (where public), employee count, ownership type, business summary.
• Leadership: managing partners, GPs, CEOs, CIOs — with designations, photos, LinkedIn, Twitter.
• Competitors (peer firms): Owler-ranked competitor list with proximity scores + per-firm firmographics. For VCs: 'funds competing for the same deals'. For PE: 'sector peers'.
• News & event timeline (keyHighlights): typed events — fund launches, recent deals, exec moves, partnerships, sector commentary.
• Funding raised by the firm (where applicable): if the firm itself raised — round type, date, amount, and any investors named in the public announcement with their Owler profile URLs. Note: these reflect what Owler's news/filing aggregation surfaces publicly, not a complete LP cap table.
• Social profiles: LinkedIn, Twitter, Facebook, YouTube, Instagram firm profiles.

Output is clean JSON — ready for CRM, dashboards, Slack alerts, LLM context, Make/Zapier/n8n pipelines. Use it for VC sourcing, investor watchlist building, portfolio mapping, deal-flow tracking, M&A target research, LP intelligence, competitive intel for funds, or building a VC knowledge graph at scale.

Three input modes — pick whichever your data has:

Input you have	Field to use	Example
Investor name	companyNames	Sequoia Capital, Andreessen Horowitz, KKR
Investor website domain	companyDomains	sequoiacap.com, kkr.com
Owler URL or slug	companyUrls	tpg or full URL
Mix of the above	All three	They merge and dedupe automatically

companyDomains and companyNames derive the Owler slug heuristically. When the heuristic matches, you get a full investor profile back. When it doesn't (rare for major funds, occasional for boutique funds with idiosyncratic slugs), an error row is pushed with the original input preserved so your CSV pipeline never silently drops rows — paste the URL form into companyUrls for those edge cases.

Quick start — copy-paste recipes

Open the Actor's Input tab in Apify Console, switch to JSON / Editor, paste one of these, click Start.

1) Single investor quick lookup (~$0.004)

{
  "companyUrls": [{ "url": "https://www.owler.com/company/tpg" }],
  "maxResults": 1
}

2) Top 5 PE firms — investment portfolios + M&A history (~$0.02)

{
  "companyNames": ["KKR", "Blackstone", "Carlyle", "Apollo", "TPG"],
  "includeInvestments": true,
  "includeAcquisitions": true,
  "maxResults": 5
}

3) VC sourcing — 20 tier-1 VC firms by Owler slug (~$0.08)

{
  "companyUrls": [
    { "url": "https://www.owler.com/company/sequoia-capital" },
    { "url": "https://www.owler.com/company/andreessen-horowitz" },
    { "url": "https://www.owler.com/company/benchmark" },
    { "url": "https://www.owler.com/company/accel" },
    { "url": "https://www.owler.com/company/greylock-partners" }
  ],
  "includeInvestments": true,
  "includeLeadership": true
}

4) CRM enrichment from an investor-domain CSV (~$0.04 / 10 firms)

{
  "companyDomains": ["sequoiacap.com", "kkr.com", "blackstone.com", "carlyle.com", "tpg.com"],
  "includeInvestments": true,
  "includeFunding": false
}

5) Investor-name batch from a trade-show lead list (~$0.04 / 10 firms)

{
  "companyNames": ["TPG", "Sequoia Capital", "Andreessen Horowitz", "Bain Capital", "Brookfield Asset Management"],
  "includeInvestments": true
}

How investor lookup works

Owler stores every entity — VC firm, PE house, corporate VC, sovereign wealth fund — under the same /company/<slug> URL pattern as operating companies. The investor-only metadata (investment portfolio, M&A timeline, AUM/revenue) is delivered via the same server-rendered Next.js __NEXT_DATA__ payload as the rest of the Owler company graph. This actor leverages that single canonical endpoint and projects the output to surface investor-first fields:

1. investments[] — the firm's investment portfolio, each row = one backed company (target name, ticket size, date, ownership, target Owler profile URL).
2. firstInvestment — the earliest tracked deal for the firm (useful for fund-vintage analysis).
3. totalInvestments / totalAcquisitions — Owler's tracked counts at the firm level.
4. acquisitions[] — M&A timeline (PE firms and corporate VCs that also acquire).
5. funding — if the firm itself raised funding, the rounds + LPs.

Because the data comes from Owler's official Next.js SSR, every run is live — today's investor graph, not last year's frozen snapshot.

When this actor is a good fit (and when it isn't)

Good fit:

• You need quick, cheap, scriptable access to public Owler-tracked investor profiles — name, AUM/revenue (where public), recent deals, M&A activity, firmographics, leadership, news.
• You're enriching a CRM / CSV of investor names or domains and want structured JSON back in seconds.
• You want a feed you can schedule (daily/weekly) into Slack, n8n, Make, Zapier, or an LLM agent.

Not a fit:

• You need fund-level performance metrics (IRR, DPI, TVPI, MOIC) — Owler doesn't publish these; use PitchBook or CB Insights.
• You need GP/LP relationship maps beyond what's in public funding announcements — Owler tracks the firm, not the LP cap table.
• You need fund vintage cohort analysis — Owler tracks recent deals and a firstInvestment timestamp but not a full vintage-year breakdown.

	Paid VC databases (PitchBook / CB Insights / Crunchbase Pro)	This Actor
Access	Annual subscription + seat licenses	Pay-as-you-go — no login, no contract
Cost	$$$$ per year	$4 per 1,000 firms (~$0.004 each)
Depth	IRR / DPI / TVPI, vintage cohorts, proprietary LP maps	Public-source: deals, M&A, firmographics, news
Freshness	Periodic refresh	Live — today's Owler graph
Export	Limited credits	Full JSON, CSV, Excel — unlimited

Why use VC Database & Investor Watchlist?

• VC sourcing — turn a list of investor names or domains into rich profiles (AUM/revenue, employee count, sector, full address, exec team) in seconds.
• Investor watchlist — track a curated list of funds, schedule daily/weekly runs, get fresh investment & news data piped into Slack / Notion / your CRM.
• Recent deal mapping — pull each fund's recent investments visible on its Owler profile (typically the most recent 5–20 deals; the totalInvestments counter shows the full lifetime count); map which sectors a firm has been leaning into lately.
• Deal-flow tracking — keyHighlights returns typed deal/fund-launch/exec-move news — feed into a daily digest without scraping news sites separately.
• M&A target research — full acquisition history for PE firms and corporate VCs — identify serial acquirers, hot sectors, recent activity.
• Funding round visibility — for firms that raised their own funding publicly, the funding rounds expose investors named in the announcement with their Owler profile URLs (note: this is public-announcement data, not a complete LP cap table).
• Competitive intel for funds — competitor graph with proximity scores + peer-firm firmographics — see who you're losing deals to.
• Leadership mapping — full GP / managing partner arrays with LinkedIn for outreach, recruiting, decision-maker mapping.
• LLM context — feed structured investor data + portfolio + news into RAG pipelines for investor-relations / sales co-pilots.

How to use

1. Open the Actor's Input tab in the Apify Console.
2. Provide investors in at least one of the three input modes:
   • companyUrls — Owler URL or slug (tpg, https://www.owler.com/company/sequoia-capital)
   • companyDomains — investor website domain (sequoiacap.com)
   • companyNames — plain investor name (Sequoia Capital, Andreessen Horowitz)
3. Toggle which fields to include (investments / acquisitions / funding / competitors / leadership / social — all on by default).
4. Set Max results to control cost (default 50, max 100,000).
5. Click Start. Dataset populates in real time.
6. Download as JSON, CSV, Excel, HTML, RSS, or XML from the Dataset tab.

Input

{
  "companyNames": ["TPG", "Sequoia Capital", "Andreessen Horowitz"],
  "companyDomains": ["kkr.com", "blackstone.com"],
  "companyUrls": [{ "url": "https://www.owler.com/company/softbank" }],
  "includeInvestments": true,
  "includeAcquisitions": true,
  "includeFunding": true,
  "includeCompetitors": true,
  "includeLeadership": true,
  "includeSocial": true,
  "maxResults": 50,
  "maxConcurrency": 10
}

All fields are optional with sensible defaults — but at least one of companyUrls, companyDomains, or companyNames must be provided.

Output

Each dataset row represents one investor / firm profile. Example (TPG):

{
  "url": "https://www.owler.com/company/tpg",
  "name": "TPG",
  "legalName": "TPG Inc.",
  "description": "TPG is a global alternative asset management firm with $239 billion in assets under management ...",
  "website": "https://www.tpg.com",
  "domain": "tpg.com",
  "industry": "Investment Banking and Securities",
  "ownership": "Public",
  "yearFounded": 1992,
  "headquarters": "Fort Worth, Texas, US",
  "ticker": "TPG",
  "exchange": "NASDAQ",
  "employees": 1110,
  "revenueAmount": 4100000000,
  "revenueFormatted": "4.1B",
  "totalInvestments": 305,
  "totalAcquisitions": 114,
  "investments": [
    {
      "companyName": "Achieve Life Sciences",
      "teamName": "achievelifesciences",
      "ownership": "Minority",
      "owlerUrl": "https://www.owler.com/company/achievelifesciences",
      "amount": 354000000,
      "date": "Apr 15, 2026"
    },
    {
      "companyName": "Allbirds",
      "teamName": "allbirds",
      "owlerUrl": "https://www.owler.com/company/allbirds",
      "amount": 50000000,
      "date": "Apr 15, 2026"
    }
  ],
  "firstInvestment": {
    "companyName": "eSilicon",
    "teamName": "esilicon",
    "owlerUrl": "https://www.owler.com/company/esilicon",
    "date": "Feb 20, 2002"
  },
  "acquisitions": [
    { "companyName": "Smile Brands", "date": "Mar 2026", "amount": null, "sources": ["..."] }
  ],
  "ceo": {
    "name": "Jon Winkelried",
    "designation": "CEO",
    "rating": 78,
    "linkedin": "https://www.linkedin.com/in/jon-winkelried/"
  },
  "social": {
    "linkedin": "https://www.linkedin.com/company/tpg-capital",
    "twitter": "https://twitter.com/TPG"
  }
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data table

Bucket	Key fields
🏢 Firm identity	name, legalName, description, website, domain, industry, ownership, yearFounded, headquarters, address, ticker, exchange
💼 Investment activity	totalInvestments, investments[] (target name + amount + date + Owler URL), firstInvestment
🤝 M&A activity	totalAcquisitions, acquisitions[] (target + date + amount + source URLs)
💰 Firm financials	revenueAmount, revenueFormatted, revenueRange, employees, employeesRange
🧑‍💼 Leadership	ceo (name + designation + LinkedIn + Twitter + photo + approval rating), leadership[]
🥊 Peer firms	competitors[] (Owler proximity-ranked, with firmographics), totalCompetitors
📰 News timeline	keyHighlights[] (typed events — fund launch, deal, exec move, partnership)
💸 Funding raised (LP intel)	funding.rounds[] (date + amount + named LP investors + LP profile URLs)
🌐 Social	social.linkedin, social.twitter, social.facebook, social.youtube, social.instagram

Pricing — how much does it cost to scrape Owler investor data?

$4 per 1,000 investor profiles (pay-per-event billing on Apify). You pay $0.004 per successfully returned profile — nothing for the actor start (rounded to fractions of a cent), nothing for failed lookups (only successful pushes are billed).

• 50 investors ≈ $0.20
• 500 investors ≈ $2
• 1,000 investors ≈ $4
• 10,000 investors ≈ $40

Apify usage (compute / proxy / data transfer) is included for paying customers on the actor.

Tips & advanced options

• Start with a 5-firm test run before pushing a 1,000-firm CSV — verify the slugs resolve cleanly.
• For batch CSV enrichment, use companyDomains if you have websites (e.g. sequoiacap.com → cleanly hits Owler sequoia-capital).
• For trade-show lead lists, use companyNames — heuristic handles most major funds. Boutique funds with idiosyncratic slugs return an error row with the original input preserved; paste those URLs into companyUrls manually.
• maxConcurrency — default 10 is balanced; bump to 20-30 for >500-firm runs (memory permitting).
• Cost-saving: turn off enrichment buckets you don't need (includeCompetitors, includeFunding, etc.) — doesn't reduce the per-result price, but reduces dataset size and download time.

FAQ

Q: Is scraping Owler legal? This actor accesses public investor profile pages on Owler.com — the same pages anyone can browse without logging in. Owler's data itself is aggregated from public sources (filings, news, press releases). Always check your jurisdiction's laws and Owler's Terms of Service for your use case.

Q: How accurate is the data? Sourced directly from Owler's server-rendered Next.js payload — the same data Owler displays in its own UI. Owler aggregates from public news/filings/press releases; quality varies by firm size (mega-funds tracked closely, boutique funds may have stale or partial data).

Q: Why is revenueAmount null for some VC firms? Most private VC funds don't disclose AUM/revenue publicly, so Owler doesn't have it. Public alternative-asset firms (KKR, Blackstone, Carlyle, TPG, Brookfield, Apollo) typically have full financials.

Q: Can I get LP / investor names from funding rounds? Where the firm itself raised funding publicly (rare for established VC, more common for newer funds), the funding.rounds[].investors[] array contains investors named in the public announcement — Owler aggregates these from press releases and filings. This is not a complete LP cap table — for proprietary LP relationship maps, use a paid VC database (PitchBook, CB Insights).

Q: My investor name didn't resolve — what happened? The heuristic (Sequoia Capital → sequoia-capital) works for ~85% of common funds. Boutique funds with idiosyncratic slugs return an error row with your original input preserved. Look up the firm on Owler manually and paste the exact URL into companyUrls.

Q: Can I schedule this actor to run daily? Yes — Apify has built-in scheduling. Pair with a Slack / Make / Zapier integration for an investor watchlist that hits your inbox every morning.

Q: How do I report a bug or request a feature? Open an issue on the Apify Store page or DM the actor maintainer.

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