# Hacker News "Who Is Hiring" Scraper (`fetchcraft/hn-who-is-hiring-scraper`) Actor Pulls every job posting from the latest monthly HN Who Is Hiring thread. Extracts company, role, location, remote/onsite/visa, contact links. Pairs with AI Sales Personalizer for recruiter and SDR outreach. Free preview, $0.01 per posting. - **URL**: https://apify.com/fetchcraft/hn-who-is-hiring-scraper.md - **Developed by:** [Emily Ward](https://apify.com/fetchcraft) (community) - **Categories:** Lead generation, Business, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $50.00 / 1,000 hiring post returneds 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 ## HN "Who Is Hiring" Scraper **Pulls every job posting from Hacker News's monthly "Who Is Hiring" thread. Extracts company, role, location, remote/onsite/visa flags, and apply link. The highest-signal job feed on the internet, fully structured.** ### What you get back per posting | Field | Description | | --- | --- | | `company` | Hiring company (parsed from comment first line) | | `role` | Role title | | `location` | City / region / "Remote" | | `remote` | `true` if posting marks REMOTE | | `onsite` | `true` if posting marks ONSITE | | `visa` | `true` if posting marks VISA welcome | | `intern` | `true` if posting marks INTERN | | `first_link` | The first URL in the comment (usually the apply link) | | `raw_text` | Full posting text (first 2000 chars), for downstream parsing | | `thread_url` | The HN thread | | `comment_url` | Direct link to the comment | | `posted_at` | When the posting was made | | `author` | HN username who posted | ### Pricing - **Preview mode**: $0 (10 results) - **Standard**: $0.01 per posting returned Typical monthly thread has 200-500 postings = $2 to $5 to extract everything. ### Use cases **Recruiters** at AI/devtools companies use the monthly HN hiring thread to identify other companies hiring for similar roles (signal of growth), and to find direct apply links for talent mapping. **B2B SDRs** at devtools / DevOps / AI companies use the hiring signal as proof a company is scaling. Hiring engineers = budget for engineering tools. **VC scouts** use the hiring volume + role mix as a growth signal for portfolio companies and new prospects. **Job seekers** use the structured output to filter by remote/onsite/visa/intern far faster than reading 300 comments. ### How to use it 1. Click **Try for free** with `preview_mode` ticked. 2. Use `thread_mode: latest` to grab the most recent monthly thread. Or use `specific` + an HN story_id for historical scrapes. 3. (Optional) `remote_only: true` to filter remote postings. 4. (Optional) `include_keywords: "senior, staff, principal"` to filter to senior+ roles. Or `"AI, ML, infra"` for tech-stack targeting. 5. Hit Start. ### Pipeline: combine with AI Sales Personalizer 1. Run this scraper monthly. Get 200-500 hiring companies. 2. Export the unique `company` + `first_link` columns. 3. Run those through **AI Sales Personalizer** with your devtools / recruiting / agency pitch. 4. Push to your sequencer. Total monthly cost: $5 (HN scrape) + ~$45 (300 personalizations at $0.15) = $50 for a fresh, personalized devrel/recruiting pipeline against the highest-signal hiring source on the internet. ### Sister actors - **AI Sales Personalizer**: turns hiring companies into personalized outreach - **GitHub Trending Scraper**: complementary OSS-maintainer leads - **Show HN Lead Scraper**: complementary product-launch leads - **ProductHunt Daily Launches Scraper**: complementary product-launch leads Pairing all five gives the most complete real-time B2B target feed available for under $20 per month. ### What this does NOT do - It does not parse every postings's exact role into atomic fields (titles vary too much). It extracts the first line as `company` and `role`, and the full text as `raw_text` for your own downstream parsing. - It does not send emails or applications. - It does not check that companies still have the role open (HN postings can be 30 days old). ### FAQ **Q: Why HN Algolia and not direct HN API?** HN Algolia indexes comments by parent story ID, which is the fastest way to extract all postings from a single thread. It is the official partner search index for HN. **Q: What if the parse misses some fields?** Postings format varies. `raw_text` is the original, use it as the ground truth and parse downstream if needed. ### Tags `leads` `lead-generation` `hacker-news` `who-is-hiring` `recruiting` `tech-recruiting` `b2b` `sales` `sdr` `devrel` --- Built by Emily Ward, Sydney. # Actor input Schema ## `thread_mode` (type: `string`): Latest = the most recent monthly thread. Specific = provide the story_id below. ## `specific_story_id` (type: `string`): The HN story ID, e.g. "38842977". Find it in the HN URL: news.ycombinator.com/item?id=STORY_ID ## `remote_only` (type: `boolean`): Filter to postings marked REMOTE. ## `include_keywords` (type: `string`): Only include postings whose text contains one of these. Example: "senior, staff, principal" or "AI, ML, infra". ## `exclude_keywords` (type: `string`): Skip postings with these terms. ## `max_results` (type: `integer`): Hard cap. ## `preview_mode` (type: `boolean`): Preview mode (free, 10 results) ## Actor input object example ```json { "thread_mode": "latest", "specific_story_id": "", "remote_only": false, "include_keywords": "", "exclude_keywords": "", "max_results": 500, "preview_mode": false } ```` # 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("fetchcraft/hn-who-is-hiring-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("fetchcraft/hn-who-is-hiring-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 fetchcraft/hn-who-is-hiring-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fetchcraft/hn-who-is-hiring-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hacker News \"Who Is Hiring\" Scraper", "description": "Pulls every job posting from the latest monthly HN Who Is Hiring thread. Extracts company, role, location, remote/onsite/visa, contact links. Pairs with AI Sales Personalizer for recruiter and SDR outreach. Free preview, $0.01 per posting.", "version": "0.1", "x-build-id": "NjREx8YD79v5aF8BF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fetchcraft~hn-who-is-hiring-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fetchcraft-hn-who-is-hiring-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/fetchcraft~hn-who-is-hiring-scraper/runs": { "post": { "operationId": "runs-sync-fetchcraft-hn-who-is-hiring-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/fetchcraft~hn-who-is-hiring-scraper/run-sync": { "post": { "operationId": "run-sync-fetchcraft-hn-who-is-hiring-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": { "thread_mode": { "title": "Which thread to scrape", "enum": [ "latest", "specific" ], "type": "string", "description": "Latest = the most recent monthly thread. Specific = provide the story_id below.", "default": "latest" }, "specific_story_id": { "title": "Specific story ID (when thread_mode = specific)", "type": "string", "description": "The HN story ID, e.g. \"38842977\". Find it in the HN URL: news.ycombinator.com/item?id=STORY_ID", "default": "" }, "remote_only": { "title": "Remote jobs only", "type": "boolean", "description": "Filter to postings marked REMOTE.", "default": false }, "include_keywords": { "title": "Must contain (comma-separated)", "type": "string", "description": "Only include postings whose text contains one of these. Example: \"senior, staff, principal\" or \"AI, ML, infra\".", "default": "" }, "exclude_keywords": { "title": "Must NOT contain (comma-separated)", "type": "string", "description": "Skip postings with these terms.", "default": "" }, "max_results": { "title": "Max postings", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Hard cap.", "default": 500 }, "preview_mode": { "title": "Preview mode (free, 10 results)", "type": "boolean", "description": "Preview mode (free, 10 results)", "default": false } } }, "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 } } } } } } } } } } ```