# Y Combinator Jobs Scraper (`parsebird/yc-jobs-scraper`) Actor Scrape Y Combinator startup job listings with salary, equity, visa sponsorship, founder data, and full descriptions. Filter by role and location. Job-centric output ready for recruiting, salary benchmarking, and startup research. - **URL**: https://apify.com/parsebird/yc-jobs-scraper.md - **Developed by:** [ParseBird](https://apify.com/parsebird) (community) - **Categories:** Jobs, Lead generation, Agents - **Stats:** 3 total users, 2 monthly users, 0.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $2.80 / 1,000 yc job details 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 startup job listings from [Y Combinator's jobs board](https://www.ycombinator.com/jobs). Scrape salary ranges, equity, visa sponsorship, experience requirements, full descriptions, founder data, and company metadata from every YC-backed job posting.
Track startup hiring trends, benchmark compensation, and source candidates across the entire YC ecosystem.

##### Copy to your AI assistant Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor. ```` parsebird/yc-jobs-scraper on Apify. Call: ApifyClient("TOKEN").actor("parsebird/yc-jobs-scraper").call(run\_input={...}), then client.dataset(run\["defaultDatasetId"]).list\_items().items for results. Key inputs: role (string, "software-engineer"/"designer"/"product-manager"/etc.), location (string, "san-francisco"/"new-york"/"remote"/etc.), maxPages (integer), maxResults (integer). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parsebird~yc-jobs-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations ```` ### What does Y Combinator Jobs Scraper do? This Actor scrapes [ycombinator.com/jobs](https://www.ycombinator.com/jobs), the official job board for Y Combinator-backed startups. Every job is automatically enriched with its detail page. Each record includes: - **Job details** — title, type (full-time/contract/internship), role category, subcategory - **Compensation** — salary range with min/max parsed into numbers, currency, equity percentage range - **Location** — city, state, country, or "Remote" - **Requirements** — experience level, visa sponsorship status - **Company data** — name, YC batch, tagline, founded year, team size, status, website, logo - **Founders** — names and roles - **Full description** — complete job description in both plain text and HTML - **Apply URL** — direct link to apply ### Why scrape YC Jobs? - **Salary benchmarking** — Compare compensation across YC startups by role, location, and company stage - **Recruiting** — Source candidates interested in startup roles, or find companies hiring for specific skills - **Market research** — Track hiring patterns, in-demand roles, and growth signals across the YC ecosystem - **Lead generation** — Identify fast-growing companies and decision-makers (founders) - **Investment research** — Monitor hiring activity as a signal of company traction - **Job aggregation** — Feed YC job data into your own job board, newsletter, or alert system ### How to use 1. Go to the [Y Combinator Jobs Scraper](https://apify.com/parsebird/yc-jobs-scraper) page on Apify Store 2. Click **Try for free** 3. Configure your input: - **Role** — Software Engineer, Designer, Product Manager, Sales, etc. - **Location** — San Francisco, New York, Remote, etc. - **Max Pages** — How many listing pages to paginate - **Max Results** — Cap the number of jobs returned 4. Click **Start** and wait for the run to finish 5. Download your data in JSON, CSV, Excel, or connect via API ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `role` | string | `software-engineer` | Role filter: `software-engineer`, `designer`, `product-manager`, `recruiting-hr`, `sales-manager`, `marketing`, `support`, `operations`, `science` | | `location` | string | _(empty)_ | Location filter: `san-francisco`, `new-york`, `los-angeles`, `seattle`, `austin`, `chicago`, `india`, `remote` | | `maxPages` | integer | `10` | Max listing pages to paginate (each page has ~20-35 jobs) | | `maxResults` | integer | `100` | Max jobs to return (0 = unlimited) | ### Output data Each job is enriched with its detail page automatically: ```json { "jobId": "W6pjo0Q-senior-software-engineer", "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/confido/jobs/W6pjo0Q-senior-software-engineer", "companyName": "Confido", "companySlug": "confido", "companyUrl": "https://www.ycombinator.com/companies/confido", "companyTagline": "AI-enabled financial automation and intelligence for CPG Brands", "ycBatch": "S21", "jobType": "Full-time", "roleCategory": "Engineering", "roleSubcategory": "Full stack", "salaryRange": "$210,000 - $280,000", "salaryMin": 210000, "salaryMax": 280000, "salaryCurrency": "USD", "equity": "0.20% - 0.30%", "location": "New York, New York, US", "experience": "3+ years", "visaSponsorship": "Will sponsor", "description": "Confido is building an AI-native operating system for brands...", "descriptionHtml": "

About Confido

...", "companyDescription": "Confido is a next-generation financial automation...", "companyFounded": 2020, "companyTeamSize": 28, "companyStatus": "Active", "companyLocation": "New York", "companyWebsite": "https://www.confidotech.com", "companyLogo": "https://bookface-images.s3.amazonaws.com/small_logos/...", "founders": [ {"name": "Kara Holinski", "role": "Founder"}, {"name": "Justin Hunter", "role": "Founder"} ], "datePosted": "2026-03-17T03:36:35Z", "applyUrl": "https://account.ycombinator.com/authenticate?...", "scrapedAt": "2026-04-04T12:00:00.000Z" } ```` ### Pricing This Actor uses **Pay-per-event** pricing: | Event | Cost | Rate | |-------|------|------| | `yc-job-detail` | $0.0028 | $2.80 per 1,000 jobs | **Cost examples:** - 10 jobs: $0.028 - 50 jobs: $0.14 - 100 jobs: $0.28 - 500 jobs: $1.40 - 1,000 jobs: $2.80 You only pay for the jobs actually returned. ### Tips and best practices - **Start small** — Set `maxResults` to 5-10 to preview the data before running larger scrapes - **Role filter is required for pagination** — The general /jobs page caps at ~20 jobs; role/location pages support full pagination - **Combine role + location** — Filter by both to get targeted results (e.g. "Software Engineer" in "San Francisco") - **Scheduling** — Set up weekly runs to track new job postings and hiring trends ### Integrations Connect this Actor to your workflow: - **Google Sheets** — Export results directly - **Webhooks** — Trigger actions when new data arrives - **API** — Access data programmatically via the Apify API - **Zapier / Make** — Automate downstream workflows # Actor input Schema ## `role` (type: `string`): Job role to filter by. Maps to the role tabs on the YC jobs page. Leave empty to scrape all roles (defaults to software-engineer since the general page has no pagination). ## `location` (type: `string`): Location to filter by. Leave empty to scrape all locations for the selected role. ## `maxPages` (type: `integer`): Maximum number of listing pages to paginate through. Each page contains ~20-35 jobs. ## `maxResults` (type: `integer`): Maximum number of jobs to return. Set to 0 for unlimited. ## Actor input object example ```json { "role": "software-engineer", "location": "", "maxPages": 10, "maxResults": 100 } ``` # Actor output Schema ## `dataset` (type: `string`): No description # 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("parsebird/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 = {} # Run the Actor and wait for it to finish run = client.actor("parsebird/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 '{}' | apify call parsebird/yc-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parsebird/yc-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Y Combinator Jobs Scraper", "description": "Scrape Y Combinator startup job listings with salary, equity, visa sponsorship, founder data, and full descriptions. Filter by role and location. Job-centric output ready for recruiting, salary benchmarking, and startup research.", "version": "1.1", "x-build-id": "B6wU7oIq0bppzK2Xq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parsebird~yc-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parsebird-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parsebird~yc-jobs-scraper/runs": { "post": { "operationId": "runs-sync-parsebird-yc-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parsebird~yc-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-parsebird-yc-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "recruiting-hr", "sales-manager", "marketing", "support", "operations", "science" ], "type": "string", "description": "Job role to filter by. Maps to the role tabs on the YC jobs page.\n\nLeave empty to scrape all roles (defaults to software-engineer since the general page has no pagination).", "default": "software-engineer" }, "location": { "title": "Location", "enum": [ "", "san-francisco", "new-york", "los-angeles", "seattle", "austin", "chicago", "india", "remote" ], "type": "string", "description": "Location to filter by. Leave empty to scrape all locations for the selected role.", "default": "" }, "maxPages": { "title": "Max Pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of listing pages to paginate through. Each page contains ~20-35 jobs.", "default": 10 }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Maximum number of jobs to return. Set to 0 for unlimited.", "default": 100 } } }, "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 } } } } } } } } } } ```