# 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, Business - **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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 '' with your token const client = new ApifyClient({ 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 '' with your token. client = ApifyClient("") # 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 " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AngelList Startup Search — Deal Sourcing API", "description": "Search the AngelList startup directory for deal sourcing. Clean JSON for VCs, deal scouts and AI agents.", "version": "0.0", "x-build-id": "urkzsSK49YrhnFPrx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~angellist-startup-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-angellist-startup-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~angellist-startup-search/runs": { "post": { "operationId": "runs-sync-nexgendata-angellist-startup-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~angellist-startup-search/run-sync": { "post": { "operationId": "run-sync-nexgendata-angellist-startup-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "query": { "title": "Search query", "type": "string", "description": "Free-text search term (company name, tag, founder keyword). Leave empty to browse by filters only." }, "markets": { "title": "Markets / Industries", "type": "array", "description": "Industry tags to filter by (e.g. 'SaaS', 'Fintech', 'Healthcare', 'AI', 'Climate'). Multiple values OR'd.", "items": { "type": "string" } }, "stages": { "title": "Funding stages", "type": "array", "description": "Funding stages to include. Allowed values: Pre-Seed, Seed, Series A, Series B, Series C, Series D, Series E+, Public, Acquired.", "items": { "type": "string" } }, "locations": { "title": "Locations", "type": "array", "description": "City or region filters (e.g. 'San Francisco', 'New York', 'Remote', 'London'). Multiple values OR'd.", "items": { "type": "string" } }, "team_size_range": { "title": "Team size range", "enum": [ "any", "1-10", "11-50", "51-200", "201-500", "501-1000", "1001+" ], "type": "string", "description": "Team size bucket. One of: 1-10, 11-50, 51-200, 201-500, 501-1000, 1001+", "default": "any" }, "remote_only": { "title": "Remote-friendly only", "type": "boolean", "description": "If true, only return companies marked remote-friendly on YC.", "default": false }, "limit": { "title": "Max companies", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of company records to return. Hard cap 500 per run to keep cost predictable.", "default": 25 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```