VC Investor Watchlist 💼

🎉 Turn public VC data into a clean, structured investor watchlist — no login, no API key, one row per investor, with focus, stage, portfolio signals and links. Built for founders, fundraising and BD teams tracking investors.

🔍 What is the VC Investor Watchlist — and when should you use it?

Give this actor investor or firm names and it returns matching investors from public venture-capital and investor sources — as clean, deduplicated rows you can filter, export or feed to an AI agent. Every run queries the source live, so the data is as fresh as the registry itself.

Use it when you need: a investor company list for outreach; formation / status monitoring; or a canonical registry record for KYB and due diligence.

Use something else when: you need LP or fund-financial detail — this tracks investor profiles and signals, not fund financials.

🤖 Use with AI agents

Already on the Apify MCP server? Ask for this Actor by name: foxlabs/vc-investor-watchlist.

Your agent can pay for its own runs. This Actor is pay-per-event with agentic payments, so an agent can discover it, run it and settle the bill over x402 (USDC on Base) or Skyfire — no Apify account or API token of its own. Billing is the same either way: per delivered record, never for errors.

Otherwise paste this into Claude, ChatGPT, Cursor or any MCP-enabled assistant:

I want to pull investor company records using the Apify Actor `foxlabs/vc-investor-watchlist`.
Input: `queries` is a list of investor or firm names. `maxResultsPerQuery` caps rows per query.
Start with: {"queries":["undefined"],"maxResultsPerQuery":50}
Ask me what to look up, run the Actor, then summarise the rows as a table.

The machine-readable API, MCP config and OpenAPI definition live at apify.com/foxlabs/vc-investor-watchlist.md.

📋 Overview

Everything you need to turn public venture-capital and investor sources into clean, structured data — in one actor, with no login, cookies or API key.

Why teams pick this actor:

• ✅ Whole dataset, one call — name or ID in, matching investors out.
• 🧹 No empty-promise columns — only fields this registry actually fills; degenerate columns are removed.
• 🔗 Stable identifiers — every row carries the source's own IDs, ready to join across runs and to other Fox Labs actors.
• 💰 Pay only for results — per-row pricing, empty/failed lookups never billed.
• 🤖 Agent-ready — MCP + x402 agentic payments.

✨ Features

• 🔍 Name or ID lookup — relevance-ranked name search or exact registry-ID lookup.
• 🏢 Full entity profile — status, legal form, formation date, address and the registry’s own contact fields.
• 🧹 Clean schema — deduplicated camelCase rows, ready for CSV/Excel/JSON.

🎬 Quick Start

curl -X POST "https://api.apify.com/v2/acts/foxlabs~vc-investor-watchlist/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries":["undefined"],"maxResultsPerQuery":50}'

🚀 Getting Started (3 steps)

1. Choose your targets — investor or firm names.
2. Set the cap — maxResultsPerQuery limits rows per query.
3. Run and export — get a clean dataset as JSON, CSV or Excel.

📥 Input

{"queries":["undefined"],"maxResultsPerQuery":50}

Field	Type	Description
queries	array	Investor or firm names.
maxResultsPerQuery	integer	Caps rows per query.
maxConcurrency	integer	How many queries to fetch at once.
includeRaw	boolean	Attach the source’s untouched record under raw.

📤 Output

One row per company, saved to the dataset. Every row also carries query, scrapedAt, and — when a lookup fails — an error explaining why (never silently dropped, never billed).

Field	Description
url	Url
inputQuery	Input Query
resolvedVia	Resolved Via
name	Name
legalName	Legal Name
description	Description
summary	Summary
website	Website
domain	Domain
logo	Logo
industry	Primary industry (NACE)
industries	Industries
industrySectors	Industry Sectors
ownership	Ownership
yearFounded	Year Founded
headquarters	Headquarters
address	Principal address
phoneNumber	Phone Number
exchange	Exchange
ticker	Ticker
ceo	Ceo
leadership	Leadership
employees	Registered employee count
employeesFormatted	Employees Formatted
employeesRange	Employees Range
revenueAmount	Revenue Amount
revenueFormatted	Revenue Formatted
revenueRange	Revenue Range
followers	Followers
totalAcquisitions	Total Acquisitions
totalInvestments	Total Investments
acquisitions	Acquisitions
acquisitionsTruncated	Acquisitions Truncated
investments	Investments
investmentsTruncated	Investments Truncated
firstInvestment	First Investment
keyHighlights	Key Highlights
revenueQuarterly	Revenue Quarterly
momentum	Momentum
fundingByYear	Funding By Year
sicCodes	Sic Codes
funding	Funding
competitors	Competitors
totalCompetitors	Total Competitors
social	Social

💼 Use cases

1. Fundraising targeting — build a targeted investor list by focus and stage. Input: investor names. Output: investors + focus + stage. Use: a warm outreach list.

2. Competitor funding — watch which investors back a space. Input: firm names. Output: investor + portfolio signals. Use: map the cap table landscape.

3. BD / partnerships — find investors active in a sector. Input: names. Output: investor profiles. Use: shortlist partners.

🔗 Integration

JavaScript / Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('foxlabs/vc-investor-watchlist').call({"queries":["undefined"],"maxResultsPerQuery":50});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('foxlabs/vc-investor-watchlist').call(run_input={"queries":["undefined"],"maxResultsPerQuery":50})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

Automation (n8n / Zapier / Make): schedule or webhook → HTTP request to the actor API with your queries → handle the JSON dataset → push to a sheet, CRM or dashboard.

📊 Pricing

Pay-per-event: per delivered record. Empty or failed lookups are never billed. View current pricing.

❓ FAQ

Do I need an account, login or API key? No. This reads public venture-capital and investor sources.

What do I search by? Investor or firm names.

How current is the data? Every run queries the source live, so results are as fresh as the registry.

What investor data is included? Investor/firm profiles — focus areas, stage, portfolio signals and links as published on public sources.

Can I export to CSV / Excel / JSON? Yes — directly from the Apify dataset.

🐛 Troubleshooting

• Fewer rows than expected — raise maxResultsPerQuery, or refine the name.
• A name returns an unexpected entity — it matched a similar registered name; search the exact registry ID.
• No rows for a name — try the entity’s exact legal name or its registry ID.

⚖️ Is it legal to scrape this data?

This actor reads publicly available investor and venture-capital information. Results can still contain personal data (e.g. a person’s name); personal data is protected by the GDPR and similar laws, so only process it with a legitimate basis. See Apify’s blog post on the legality of web scraping.

🤝 Support & contact

• 🌐 Website: data.foxlabs.com.tr
• 📧 Email: info@foxlabs.com.tr
• 🐛 Issues: open a ticket in the Actor’s Issues tab
• 🧰 More clean B2B data actors: Fox Labs on Apify

Changelog

0.5 — 2026-09-07

• Enabled AI-agent payments (x402) + rebuilt the README to the full standard (What-is / when, AI-agents + x402 agentic payments + MCP, Overview, Features, Use cases, Integration, FAQ, Troubleshooting, Support & contact).

0.0

• Initial release: data from public venture-capital and investor sources by name or registry ID.