# AngelList Startup Search — Deal Sourcing API (`nexgendata/angellist-startup-search`) Actor

Search the AngelList startup directory for deal sourcing. Clean JSON for VCs, deal scouts and AI agents.

- **URL**: https://apify.com/nexgendata/angellist-startup-search.md
- **Developed by:** [NexGenData](https://apify.com/nexgendata) (community)
- **Categories:** Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 company records

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## AngelList Startup Search

Search the AngelList startup directory for deal sourcing. Built for VCs, deal scouts, founders and AI agents.

### ⏰ Run this as a market watch (recommended)

Every IP registry actor is a monitoring subscription, not a one-shot lookup. Schedule a weekly sweep and catch new filings as they land:

```json
{
  "query": "climate",
  "limit": 100
}
```

Weekly cron (`0 8 * * 1`) turns this into an always-on market watch.

### 📊 What you get

Clean JSON, one record per company (full output has 18 fields):

- `all_locations` — All locations
- `industries` — Industries
- `is_hiring` — Is hiring
- `location` — Location
- `markets` — Markets
- `name` — Name
- `one_liner` — One liner
- `regions` — Regions
- `remote_friendly` — Remote friendly
- `source` — Source

**Pricing:** $0.10 per company (Pay-Per-Event) — about **10 companys per $1**.

### 🤖 Use with AI agents

Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and run AngelList startup directory for deal sourcing on demand.

**Sample agent prompt:**

```
Find AngelList startups in a market that are hiring.
```

**Agentic payments (x402):** Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

### 🔗 Related funding actors

**Startup funding & deal-sourcing web:** [Startup Funding Tracker](https://apify.com/nexgendata/startup-funding-tracker), [Form D Scraper](https://apify.com/nexgendata/sec-form-d-scraper), [Form D Tracker](https://apify.com/nexgendata/sec-form-d-tracker), [Private Funding Intelligence](https://apify.com/nexgendata/private-funding-form-d-intelligence), [Pre-IPO Secondary Prices](https://apify.com/nexgendata/pre-ipo-secondary-prices)

**Funding → outreach chain (a funding event is a lead):** [Company Enrichment](https://apify.com/nexgendata/company-enrichment-tool), [Email/Contact Extractor](https://apify.com/nexgendata/website-email-extractor), [B2B Leads Finder](https://apify.com/nexgendata/b2b-leads-finder)

***

*Data from public funding, filing and directory sources.*

# Actor input Schema

## `query` (type: `string`):

Free-text search term (company name, tag, founder keyword). Leave empty to browse by filters only.

## `markets` (type: `array`):

Industry tags to filter by (e.g. 'SaaS', 'Fintech', 'Healthcare', 'AI', 'Climate'). Multiple values OR'd.

## `stages` (type: `array`):

Funding stages to include. Allowed values: Pre-Seed, Seed, Series A, Series B, Series C, Series D, Series E+, Public, Acquired.

## `locations` (type: `array`):

City or region filters (e.g. 'San Francisco', 'New York', 'Remote', 'London'). Multiple values OR'd.

## `team_size_range` (type: `string`):

Team size bucket. One of: 1-10, 11-50, 51-200, 201-500, 501-1000, 1001+

## `remote_only` (type: `boolean`):

If true, only return companies marked remote-friendly on YC.

## `limit` (type: `integer`):

Maximum number of company records to return. Hard cap 500 per run to keep cost predictable.

## Actor input object example

```json
{
  "query": "ai infrastructure",
  "markets": [
    "AI",
    "SaaS"
  ],
  "stages": [
    "Seed",
    "Series A"
  ],
  "locations": [
    "San Francisco",
    "Remote"
  ],
  "team_size_range": "11-50",
  "remote_only": false,
  "limit": 25
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "query": "ai infrastructure",
    "markets": [
        "AI",
        "SaaS"
    ],
    "stages": [
        "Seed",
        "Series A"
    ],
    "locations": [
        "San Francisco",
        "Remote"
    ],
    "team_size_range": "11-50",
    "remote_only": false,
    "limit": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/angellist-startup-search").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "query": "ai infrastructure",
    "markets": [
        "AI",
        "SaaS",
    ],
    "stages": [
        "Seed",
        "Series A",
    ],
    "locations": [
        "San Francisco",
        "Remote",
    ],
    "team_size_range": "11-50",
    "remote_only": False,
    "limit": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/angellist-startup-search").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "ai infrastructure",
  "markets": [
    "AI",
    "SaaS"
  ],
  "stages": [
    "Seed",
    "Series A"
  ],
  "locations": [
    "San Francisco",
    "Remote"
  ],
  "team_size_range": "11-50",
  "remote_only": false,
  "limit": 25
}' |
apify call nexgendata/angellist-startup-search --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=nexgendata/angellist-startup-search",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/OgB7Dene5jdKgqi3w/builds/urkzsSK49YrhnFPrx/openapi.json