# Apify Investor Database

> Search a curated investor database of 10,469 firms with the Apify Startup Investors Data Scraper (johnvc/startup-investors-data-scraper). Filter by firm type (VC, angel, private equity, family office, accelerator, venture debt and more), industry focus, investment stage, country, and keyword, and get one row per firm with name, description, city, country, website, LinkedIn URL, AUM, stages, and focus areas, plus profile extras like Crunchbase and social links when on file, and partner contacts with job titles and check sizes when requested. Use when the user wants an investor database, a venture capital database, a list of venture capital firms, an angel investors list, a private equity firms list, or a Crunchbase or PitchBook alternative for investor data. Pay-per-firm billing, MCP-ready for Claude and other AI agents.

- Skill: `johnisanerd/apify-investor-database` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add johnisanerd/apify-investor-database`
- Raw SKILL.md: https://api.skillmd.com/api/skills/johnisanerd/apify-investor-database/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: MIT
- Author: johnisanerd (https://skillmd.com/u/johnisanerd)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/johnisanerd/apify-investor-database

---


# Investor Database: Filterable Firm and Contact Data

Search an investor database of 10,469 firms as structured data. Filter by firm type, industry focus, stage, and country; get one row per firm with profile links, AUM, and focus areas, and add partner contacts when you need outreach data.

## When to use this skill

- The user wants an "investor database" or "venture capital database" they can query and export.
- They want a list of venture capital firms, angel investors, private equity firms, family offices, accelerators, or venture debt firms.
- They want investor data with firm profiles and contact details for research or outreach.
- They ask for a Crunchbase alternative or PitchBook alternative for investor lists.

Not for: city-level or US-state filtering (the database filters by country only), startup or company data (this is the investor side), or personalized investment advice.

## What you get (one row per firm)

Always present: `firm_name`, `firm_id`, `firm_type_id`, `firm_description`, `firm_city`, `firm_country`, `firm_website`, `firm_linkedin_url`, `firm_stages`, `firm_aum`, `firm_focus`, `industry_names`, plus `created_at`, `updated_at`, and `last_checked` timestamps. Profile extras such as `crunchbase_url`, `twitter_url`, `facebook_url`, `firm_phone`, and `firm_state` appear when the database has them on file. With `Include_Contacts` true, each firm adds an `investor_contacts` array (empty for firms with no contacts on file): name, `job_title`, email when available, `linkedin_url`, and minimum, maximum, and target check sizes.

## Prerequisites

- Apify account (sign up at https://apify.com?fpr=9n7kx3&fp_sid=skillrepo).
- Authentication via `apify login`, or an `APIFY_TOKEN` environment variable (Apify Console, Settings, Integrations).

## The Actor

- Store page: https://apify.com/johnvc/startup-investors-data-scraper?fpr=9n7kx3&fp_sid=skillrepo
- Actor ID: `johnvc/startup-investors-data-scraper`
- Pricing: pay per firm returned, plus per contact when contacts are on (see `references/gotchas.md`).

## Run it with the Apify CLI

Venture capital firms focused on fintech, 25 rows:

```bash
apify actors call "johnvc/startup-investors-data-scraper" -i '{"Firm_Types":["Venture Capital Investor"],"Focus_Areas":["Fintech"],"Max_Results":25}' \
  --json \
  --user-agent apify-awesome-skills/apify-investor-database \
  2>/dev/null
```

Private equity firms in the United Kingdom with partner contacts:

```bash
apify actors call "johnvc/startup-investors-data-scraper" -i '{"Firm_Types":["Private Equity"],"Countries":["United Kingdom"],"Include_Contacts":true,"Max_Results":20}' \
  --json \
  --user-agent apify-awesome-skills/apify-investor-database \
  2>/dev/null
```

Every call carries the three flags this repo expects: `--json`, `--user-agent apify-awesome-skills/apify-investor-database`, and `2>/dev/null`.

## Run it from Claude or another AI agent (MCP)

The Actor is MCP-ready. Add the hosted server URL:

`https://mcp.apify.com/?tools=actors,docs,johnvc/startup-investors-data-scraper`

Then ask, for example: "Pull 25 climate-focused venture capital firms in Germany from the investor database and export them as CSV." MCP setup docs: https://docs.apify.com/platform/integrations/mcp

## Workflow

1. Translate the ask into filters. `Firm_Types` takes exact enum values (17 types: "Venture Capital Investor", "Angel Investor", "Private Equity", "Single Family Office", "Multi Family Office", "Accelerator", "Incubator", "Corporate Venture Capital Investor", "Venture Debt", "Hedge Fund", and more); `Focus_Areas` (about 48 industries), `Investment_Stages` (Pre-Seed through IPO), `Countries` (full English names), `Keyword` for free-text narrowing.
2. Bound the volume. `Max_Results` is the cost cap; start at 20 to 50 rows. `Offset` plus `Order_By` page through larger pulls.
3. Decide on contacts. `Include_Contacts` true adds partner rows and per-contact billing; leave it off for firm-only research.
4. Estimate cost, then confirm with the user. Firms bill per row; see `references/gotchas.md`.
5. Run the Actor and read the dataset. Deliver JSON or CSV, or hand back the dataset link. For outreach lists, flatten `investor_contacts` into one row per contact.

## Inputs

- `Firm_Types` (enum, 17 values), `Focus_Areas` (enum, about 48), `Investment_Stages` (text, Pre-Seed to IPO)
- `Countries` (full English country names; no city or state filter exists)
- `Keyword` (free text), `Max_Results`, `Offset`, `Order_By`
- `Include_Contacts` (boolean, adds per-contact billing)

## Cost

Billing is per firm returned (plus per contact when contacts are on), so `Max_Results` is the direct cost lever. A 25-firm pull costs about a dollar; contacts add more. Live prices and thresholds are in `references/gotchas.md`.

## Honest limits

- Country filtering only: there is no city or US-state input, so "VC firms in New York" cannot be pre-filtered (filter `firm_city` client-side after a country pull).
- Contact emails exist "when available"; not every contact carries one.
- The database is curated and finite (10,469 firms); it is investor-side data, not startup funding-round data.

## Troubleshooting

- Zero rows: loosen filters one at a time; `Focus_Areas` and `Firm_Types` combined can over-constrain.
- Country returns nothing: use the full English name ("United Kingdom", not "UK").
- Bigger list needed: page with `Offset` while keeping `Max_Results` bounded per run.

See `references/gotchas.md` for cost guardrails and error recovery, and `references/actor-index.md` for the Actor routing table.

## Related company-data Actors

- Crunchbase Company API: https://apify.com/johnvc/crunchbase-company-api?fpr=9n7kx3&fp_sid=skillrepo
- PitchBook Company API: https://apify.com/johnvc/pitchbook-company-api?fpr=9n7kx3&fp_sid=skillrepo
- LinkedIn Company API: https://apify.com/johnvc/linkedin-company-api?fpr=9n7kx3&fp_sid=skillrepo