# Y Combinator Jobs Scraper (`seemuapps/simple-yc-jobs-scraper`) Actor Scrape job listings from Y Combinator startups by role and location — title, company, batch, salary, location, and apply link. - **URL**: https://apify.com/seemuapps/simple-yc-jobs-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Lead generation, Jobs, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 1,000 results 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 ## Y Combinator Jobs Scraper Extract live job listings from Y Combinator startups — filter by role and location, get title, company, batch, salary, and apply link in a single run. ### What you get - **Job title** and direct YC link to the listing - **Company** name, YC batch (e.g. `S11`, `W24`), tagline, profile URL, and logo - **Posted date** (e.g. "6 days ago") - **Employment type**, category, sub-role (e.g. "Full-time" / "Engineering" / "Backend") - **Salary range** when listed (e.g. `$225K - $300K`) - **Location** including remote and hybrid setups - **Apply URL** — direct link to the company's application form on Work at a Startup ### Use cases - **Job search aggregation** — pipe live YC startup roles into your own job board, Slack, or Notion - **Recruiter sourcing** — track which YC companies are hiring for specific roles - **Market research** — analyse YC hiring trends, salary bands, and remote-vs-onsite splits - **Investor intel** — see which portfolio companies are scaling teams - **Lead generation** — surface fast-growing startups by their hiring activity ### How to use 1. Pick a **Role** (Software Engineer, Designer, Product Manager, Operations, Marketing, Sales, Recruiting & HR, Science, or Support) 2. Optionally set a **Location** (Any, Remote, San Francisco, New York, LA, Seattle, Austin, Chicago, India) 3. Set **Max Items** (`0` = all available) 4. Run the actor — results land in the **Dataset** tab 5. Export to JSON, CSV, Excel, or Google Sheets directly from the Apify console #### Scrape remote engineering jobs ```json { "role": "software-engineer", "location": "remote" } ```` #### Scrape all product manager roles ```json { "role": "product-manager", "location": "" } ``` ### Output format One dataset record per job: ```json { "jobTitle": "Staff Software Engineer (Backend)", "jobUrl": "https://www.ycombinator.com/companies/artisan/jobs/4ovMdGw-staff-software-engineer-backend", "jobId": "4ovMdGw", "company": "Artisan", "companyBatch": "W24", "companyTagline": "AI employees called Artisans, starting with an AI BDR", "companyUrl": "https://www.ycombinator.com/companies/artisan", "companyLogo": "https://bookface-images.s3.amazonaws.com/small_logos/3aa68965eefe42dc96e16073740dae2087ad188f.png", "postedAgo": "11 days ago", "employmentType": "Full-time", "category": "Engineering", "role": "Full stack", "salary": "$225K - $300K", "location": "San Francisco / New York, NY, US / Remote (US)", "applyUrl": "https://account.ycombinator.com/authenticate?continue=...", "sourceUrl": "https://www.ycombinator.com/jobs/role/software-engineer/remote" } ``` ### Parameters | Field | Default | Description | |---|---|---| | **Role** | `Software Engineer` | Role category to scrape | | **Location** | `Any location` | Optional location filter — Remote, San Francisco, New York, LA, Seattle, Austin, Chicago, India | | **Max Items** | `0` | Maximum jobs to return per run. `0` = all listings on the page | ### Notes - The Y Combinator public job board surfaces a curated set of recent listings per role/location combination — typically 30–50 per page - For deeper coverage, run the actor across multiple role and location combinations and merge the datasets - Jobs without a salary listed will have `salary: null` in the output - Each run is a single HTTP fetch — fast and lightweight # Actor input Schema ## `role` (type: `string`): Job role to filter by. ## `location` (type: `string`): Optional location filter. Leave blank for all locations. ## `maxItems` (type: `integer`): Maximum number of jobs to return. 0 = all available. ## Actor input object example ```json { "role": "software-engineer", "location": "", "maxItems": 0 } ``` # Actor output Schema ## `results` (type: `string`): Each record: { jobTitle, jobUrl, jobId, company, companyBatch, companyTagline, companyUrl, companyLogo, postedAgo, employmentType, category, role, salary, location, applyUrl, sourceUrl } # 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 = { "maxItems": 0 }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/simple-yc-jobs-scraper").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 = { "maxItems": 0 } # Run the Actor and wait for it to finish run = client.actor("seemuapps/simple-yc-jobs-scraper").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 '{ "maxItems": 0 }' | apify call seemuapps/simple-yc-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/simple-yc-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Y Combinator Jobs Scraper", "description": "Scrape job listings from Y Combinator startups by role and location — title, company, batch, salary, location, and apply link.", "version": "1.0", "x-build-id": "ZGD2pWLE8qKZ17hq5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~simple-yc-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-simple-yc-jobs-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~simple-yc-jobs-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-simple-yc-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~simple-yc-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-simple-yc-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "role": { "title": "Role", "enum": [ "software-engineer", "designer", "product-manager", "operations", "marketing", "sales-manager", "recruiting-hr", "science", "support" ], "type": "string", "description": "Job role to filter by.", "default": "software-engineer" }, "location": { "title": "Location", "enum": [ "", "remote", "san-francisco", "new-york", "los-angeles", "seattle", "austin", "chicago", "india" ], "type": "string", "description": "Optional location filter. Leave blank for all locations.", "default": "" }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum number of jobs to return. 0 = all available.", "default": 0 } } }, "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 } } } } } } } } } } ```