# Apify Pre Seed Investors

> Build a fundraising outreach list of pre seed investors with the Apify Startup Investors Data Scraper (johnvc/startup-investors-data-scraper). Filter a curated database of 10,469 firms by investment stage (Pre-Seed, Seed, Series A and beyond), industry focus, firm type, and country, and get investor firms with partner contacts, job titles, emails when available, LinkedIn URLs, and check sizes, ready to load into a CRM or outreach tool. Use when the user wants to find pre seed investors, seed investors, or early stage investors for a raise, build an investor outreach or lead list, find angel investors or VCs for a specific industry and stage, or ask who invests at pre-seed in their space. Research and outreach data only, no investment advice. Pay-per-firm billing, MCP-ready for Claude and other AI agents.

- Skill: `johnisanerd/apify-pre-seed-investors` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add johnisanerd/apify-pre-seed-investors`
- Raw SKILL.md: https://api.skillmd.com/api/skills/johnisanerd/apify-pre-seed-investors/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-pre-seed-investors

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# Pre Seed Investors: Stage-Filtered Outreach Lists

Build an investor outreach list for a raise. Filter a curated database of 10,469 firms to the investors who actually invest at your stage and in your space, and get partner contacts with job titles, emails when available, and check sizes, ready for a CRM.

## When to use this skill

- The user is raising and wants to find pre seed investors, seed investors, or early stage investors.
- They want an investor lead list scoped to an industry, stage, firm type, or country.
- They want partner-level contacts (names, titles, LinkedIn, check sizes) for outreach.
- They ask "who invests at pre-seed in fintech" or "make me a target list for my raise".

Not for: personalized investment advice or intro-making (this collects research and outreach data), city-level filtering (country only), or startup-side funding data.

## What you get

One row per matching firm: `firm_name`, `firm_description`, `firm_city`, `firm_country`, `firm_website`, `firm_linkedin_url`, `firm_stages`, `firm_aum`, `firm_focus`, `industry_names` (plus `crunchbase_url` and social links when on file). With `Include_Contacts` true (the point of this workflow), each firm adds `investor_contacts`, empty when no contacts are on file: name, `job_title`, email when available, `linkedin_url`, and minimum, maximum, and target check sizes, the fields an outreach row needs.

## 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 (see `references/gotchas.md`).

## Run it with the Apify CLI

Pre-seed investors in AI, with contacts:

```bash
apify actors call "johnvc/startup-investors-data-scraper" -i '{"Investment_Stages":["Pre-Seed"],"Focus_Areas":["Artificial Intelligence"],"Include_Contacts":true,"Max_Results":25}' \
  --json \
  --user-agent apify-awesome-skills/apify-pre-seed-investors \
  2>/dev/null
```

Early-stage bundle (pre-seed through Series A) among angels and VCs in the United States:

```bash
apify actors call "johnvc/startup-investors-data-scraper" -i '{"Investment_Stages":["Pre-Seed","Seed","Series A"],"Firm_Types":["Venture Capital Investor","Angel Investor"],"Countries":["United States"],"Include_Contacts":true,"Max_Results":30}' \
  --json \
  --user-agent apify-awesome-skills/apify-pre-seed-investors \
  2>/dev/null
```

Every call carries the three flags this repo expects: `--json`, `--user-agent apify-awesome-skills/apify-pre-seed-investors`, 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: "Find 25 pre-seed investors in climate tech with partner contacts and check sizes, and format them as an outreach sheet." MCP setup docs: https://docs.apify.com/platform/integrations/mcp

## Workflow

1. Scope the raise. Map the user's stage to `Investment_Stages` (a raise usually spans two: ["Pre-Seed","Seed"]), their space to `Focus_Areas`, and any geography to `Countries` (full English names).
2. Pick firm types. Pre-seed lists usually want `Firm_Types` ["Venture Capital Investor","Angel Investor"] (exact enum strings); add accelerators or family offices when the user asks.
3. Turn contacts on. `Include_Contacts` true is what makes this an outreach list rather than a market map.
4. Bound and estimate. `Max_Results` 20 to 30 keeps the first pass around $2 to $3; confirm before bigger pulls. See `references/gotchas.md`.
5. Run, then shape for outreach. Flatten `investor_contacts` to one row per contact (firm, name, title, email, LinkedIn, target check size). Flag rows without email for LinkedIn-first outreach.
6. Qualify against check size. Filter out contacts whose minimum check exceeds the round, using the min, max, and target check fields.

## Inputs

- `Investment_Stages` (text list, Pre-Seed to IPO): the stage filter this workflow centers on
- `Focus_Areas` (enum, about 48 industries) and `Firm_Types` (enum, 17)
- `Countries` (full English names), `Keyword` (free text)
- `Include_Contacts` (true for outreach), `Max_Results` (cost cap), `Offset`

## Cost

Per firm plus per contact: a 25-firm pull with contacts lands around $2 to $3. Larger sweeps scale linearly; estimate and confirm first. Live prices and thresholds are in `references/gotchas.md`.

## Honest limits

- Emails are present only when available; some contacts are LinkedIn-only.
- Country filter only; "investors in Boston" needs a US pull filtered client-side on `firm_city`.
- The data supports outreach research; whether an investor is a fit is the founder's call, and this skill gives data, not investment advice.

## Troubleshooting

- Too few firms: widen `Investment_Stages` by one stage or drop `Focus_Areas`; stage tagging varies by firm.
- No contacts on some firms: expected; not every firm carries contact rows. The firm's LinkedIn URL still supports manual lookup.
- List feels generic: add `Keyword` (for example "developer tools") to narrow within an industry.

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