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:

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:

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