# Y Combinator Startup Lead Scraper (`scrapemint/yc-startup-leads`) Actor Filter the Y Combinator company directory by keyword, batch, industry, or hiring status and turn startups into B2B leads: company, website, scraped contact email, one-liner, industry, team size, location, and batch. One lead per startup. Keyless. - **URL**: https://apify.com/scrapemint/yc-startup-leads.md - **Developed by:** [Ken M](https://apify.com/scrapemint) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Y Combinator Startup Lead Scraper Turn the Y Combinator company directory into a B2B lead list. Filter by keyword, batch, industry, or hiring status and get, for every startup, the company, **website**, a **scraped contact email**, one-liner, industry, team size, location, batch, and hiring flag. One lead per startup. YC startups are a premium target for B2B vendors, recruiters, and investors. The directory is keyless, and the contact email is scraped from the company website (99% of companies list one). ### Who buys this - **B2B SaaS** selling to fast-growing startups early. - **Recruiters and staffing** (use the hiring filter). - **VCs and competitive intel** tracking batches and sectors. - **Sales teams** building a curated, funded-company pipeline. ### How it works 1. It loads the YC company directory and filters by your keywords, batches, industries, hiring status, and team size. 2. It fetches each company website and scrapes a contact email. 3. Each startup is scored and tiered, then pushed as one lead. ### Output One row per startup: ```json { "name": "Acme AI", "ycUrl": "https://www.ycombinator.com/companies/acme-ai", "website": "https://acme.ai", "email": "founders@acme.ai", "oneLiner": "AI copilots for logistics", "industry": "B2B", "subindustry": "Engineering, Product and Design", "batch": "Summer 2026", "teamSize": 12, "location": "San Francisco, CA, USA", "tags": ["AI", "Logistics"], "isHiring": true, "topCompany": false, "launchedAt": "2026-04-01", "tier": "qualified_lead", "leadScore": 86 } ```` ### Tiers and pricing Pay per lead. The first 10 `qualified_lead` per run are free so you can validate output. | Tier | Meaning | Price | | --- | --- | --- | | `listing` | Company data, no website | $0.02 | | `lead` | A company website | $0.04 | | `qualified_lead` | A scraped contact email and a team of 5+ or currently hiring | $0.08 | The directory is keyless and the website scrape is light, so runs are fast. ### Input | Field | Default | Notes | | --- | --- | --- | | `keywords` | `[]` | Match name, one-liner, description, industry, tags. | | `batches` | `[]` | Limit to YC batches (e.g. Summer 2026). | | `industries` | `[]` | Match industry or subindustry. | | `onlyHiring` | `false` | Keep only companies currently hiring. | | `minTeamSize` | `0` | Drop companies below this team size. | | `maxLeads` | `200` | Cap total leads per run. | | `includeEmail` | `true` | Scrape company websites for a contact email. | | `maxEmailLookups` | `100` | Cap how many top leads get the email scrape. | ### Notes - The directory is a community-maintained mirror that auto-syncs from YC; the company website is present on ~99% of rows and the email is scraped from it (moderate hit rate). - Respect applicable outreach laws when contacting companies. # Actor input Schema ## `keywords` (type: `array`): Match company name, one-liner, description, industry, or tags (e.g. fintech, ai, healthcare). Empty matches all. ## `batches` (type: `array`): Limit to YC batches, e.g. 'Summer 2026', 'Winter 2025'. Empty includes all batches. ## `industries` (type: `array`): Match the company industry or subindustry (e.g. Fintech, Healthcare, B2B). Empty includes all. ## `onlyHiring` (type: `boolean`): Keep only companies currently marked as hiring. Useful for recruiters. ## `minTeamSize` (type: `integer`): Drop companies below this team size. Zero keeps everything. ## `maxLeads` (type: `integer`): Cap total leads per run, ranked by most recent batch then team size. ## `includeEmail` (type: `boolean`): Fetch each company website and scrape a contact email. ## `maxEmailLookups` (type: `integer`): Cap how many top leads get the website email scrape. ## `concurrency` (type: `integer`): Website scrapes in parallel. ## Actor input object example ```json { "keywords": [], "batches": [], "industries": [], "onlyHiring": false, "minTeamSize": 0, "maxLeads": 200, "includeEmail": true, "maxEmailLookups": 100, "concurrency": 8 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("scrapemint/yc-startup-leads").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 = {} # Run the Actor and wait for it to finish run = client.actor("scrapemint/yc-startup-leads").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 '{}' | apify call scrapemint/yc-startup-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemint/yc-startup-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Y Combinator Startup Lead Scraper", "description": "Filter the Y Combinator company directory by keyword, batch, industry, or hiring status and turn startups into B2B leads: company, website, scraped contact email, one-liner, industry, team size, location, and batch. One lead per startup. Keyless.", "version": "0.1", "x-build-id": "uIUhSgj8eex9D9Nyt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemint~yc-startup-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemint-yc-startup-leads", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapemint~yc-startup-leads/runs": { "post": { "operationId": "runs-sync-scrapemint-yc-startup-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapemint~yc-startup-leads/run-sync": { "post": { "operationId": "run-sync-scrapemint-yc-startup-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keywords": { "title": "Keywords", "type": "array", "description": "Match company name, one-liner, description, industry, or tags (e.g. fintech, ai, healthcare). Empty matches all.", "default": [], "items": { "type": "string" } }, "batches": { "title": "Batches", "type": "array", "description": "Limit to YC batches, e.g. 'Summer 2026', 'Winter 2025'. Empty includes all batches.", "default": [], "items": { "type": "string" } }, "industries": { "title": "Industries", "type": "array", "description": "Match the company industry or subindustry (e.g. Fintech, Healthcare, B2B). Empty includes all.", "default": [], "items": { "type": "string" } }, "onlyHiring": { "title": "Only companies hiring", "type": "boolean", "description": "Keep only companies currently marked as hiring. Useful for recruiters.", "default": false }, "minTeamSize": { "title": "Minimum team size", "minimum": 0, "type": "integer", "description": "Drop companies below this team size. Zero keeps everything.", "default": 0 }, "maxLeads": { "title": "Max leads", "minimum": 1, "maximum": 6000, "type": "integer", "description": "Cap total leads per run, ranked by most recent batch then team size.", "default": 200 }, "includeEmail": { "title": "Scrape contact emails", "type": "boolean", "description": "Fetch each company website and scrape a contact email.", "default": true }, "maxEmailLookups": { "title": "Max email lookups", "minimum": 0, "maximum": 2000, "type": "integer", "description": "Cap how many top leads get the website email scrape.", "default": 100 }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Website scrapes in parallel.", "default": 8 } } }, "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 } } } } } } } } } } ```