Startup Investors MCP server

💰 Startup Investors API: VC and Investor Firm Data in Clean JSON

The efficient, reliable, and developer-friendly way to use the Startup Investors API.

Actor page: apify.com/johnvc/startup-investors-data-scraper Input schema: apify.com/johnvc/startup-investors-data-scraper/input-schema

The Startup Investors API searches a curated database of over 10,000 investor firms, including venture capital, angel, accelerator, private equity, and family-office investors. Filter by firm type, focus industry, investment stage, country, or a free-text keyword, then optionally pull verified investor contacts (partners and principals) at each firm. Results come back as clean, structured JSON, ready for prospecting, fundraising research, or market analysis.

Video Walkthrough

Quick Start

Prerequisites

• Python 3.11 or higher
• An Apify account and API key (get a free key here)

1. Clone the repository

git clone https://github.com/johnisanerd/Apify-Startup-Investors-Data-Scraper.git
   cd Apify-Startup-Investors-Data-Scraper

1. Install dependencies with UV

# Install UV if you do not have it:
   curl -LsSf https://astral.sh/uv/install.sh | sh

   # Install project dependencies:
   uv sync

1. Configure your API key

cp .env.example .env
   # Edit .env and add your Apify API key
   # Get your free API key at: https://apify.com?fpr=9n7kx3

1. Run the example

uv run python fetch-startup-investors-scraper.py

Alternative: set the API key directly

export APIFY_API_TOKEN="your_api_key_here"
uv run python fetch-startup-investors-scraper.py

Why Use This Startup Investors API?

A curated investor database. Over 10,000 investor firms across venture capital, angel, accelerator, private equity, and family-office categories, in one structured source.

Precise filtering. Narrow by firm type, focus industry, investment stage, and country, or run a free-text keyword search across firm names, descriptions, and theses.

Verified contacts on demand. Enable IncludeContacts to add an investorcontacts array to every firm, with each contact's name, job title, email (when available), and LinkedIn URL.

Pagination built in. Combine MaxResults and Offset to page through large result sets across runs, and OrderBy for stable ordering.

Predictable, pay-per-use pricing. Billing is per firm returned, plus a per-contact fee when contacts are enabled, with a small per-run start fee and no subscription. Use filters and a low Max_Results to control cost.

Easy to automate. Call it from Python in a few lines, or load it as an MCP tool so assistants like Claude and Cursor can pull investor data for you on demand.

Features

Core Capabilities

• Firm-type filtering across venture capital, angel, accelerator, private equity, family office, and more
• Industry focus filtering by target sector
• Investment-stage filtering from pre-seed through growth
• Country filtering by headquarters location
• Keyword search across firm names, descriptions, and theses
• Optional investor contacts with name, title, email, and LinkedIn

Data Quality

• Structured firm records with a stable field set
• Profile links including firm website and social profiles
• Stage and focus arrays for each firm
• Search metadata echoed on every record
• Pagination support with Max_Results and Offset

Usage Examples

Keyword search, small result set

{
  "Keyword": "Sequoia",
  "Max_Results": 5
}

Shortened. The full README is on GitHub.