# Hiring Intent / Job Posting Signal Extractor (`isotonic/hiring-intent-job-signal-extractor`) Actor Extracts public hiring intent signals from Greenhouse, Lever, and generic public careers pages. - **URL**: https://apify.com/isotonic/hiring-intent-job-signal-extractor.md - **Developed by:** [Brian Keefe](https://apify.com/isotonic) (community) - **Categories:** Jobs, Lead generation, Business - **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 ## Hiring Intent / Job Posting Signal Extractor Production-ready Apify Actor for extracting public hiring intent signals from: - Greenhouse public job boards - Lever public postings API - Generic public HTML career pages It only uses public pages and APIs. It does not use LinkedIn, authenticated sources, or private APIs. ### What it outputs The dataset contains two record types: - `job`: one record per extracted public job posting - `summary`: one rollup record per processed source/company Job records include: - `title`, `company`, `location`, `department`, `seniority` - `isRemote`, `descriptionSnippet`, `postedDate` - `sourceType`, `sourceUrl`, `evidenceUrl` - `toolsKeywords`, `painKeywords`, `intentCategories`, `intentScore` - `leadRoutingTeam`, `leadRoutingPersonas` ### Input Supported inputs: - `companyDomains`: domains to probe for likely careers pages - `careerUrls`: explicit public career page URLs - `atsUrls`: explicit Greenhouse or Lever public ATS URLs - `queryTerms`: optional filter/boost terms - `maxJobs`: global max number of jobs - `requestTimeoutSecs`: per-request timeout - `keywordTaxonomy`: optional partial taxonomy override See `examples/sample-input.json`. ### Development Install and test: ```bash npm install npm test ```` Run locally: ```bash npm start ``` ### Notes - Greenhouse support prefers public JSON endpoints where available. - Lever support uses `api.lever.co/v0/postings/?mode=json`. - Generic HTML extraction uses `cheerio` heuristics and is intentionally narrow. - Smoke tests are deterministic and use local fixtures only. # Actor input Schema ## `companyDomains` (type: `array`): Company website domains to probe for public careers pages. ## `careerUrls` (type: `array`): Public career page URLs to inspect. ## `atsUrls` (type: `array`): Public ATS board URLs such as Greenhouse or Lever endpoints/pages. ## `queryTerms` (type: `array`): Optional terms used to filter extracted jobs or boost scoring. ## `maxJobs` (type: `integer`): Global limit for extracted jobs. ## `requestTimeoutSecs` (type: `integer`): Timeout used for each public URL fetch. ## `keywordTaxonomy` (type: `object`): Optional partial taxonomy override for tools, pain keywords, intent categories, and personas. ## Actor input object example ```json { "maxJobs": 100, "requestTimeoutSecs": 20 } ``` # 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("isotonic/hiring-intent-job-signal-extractor").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("isotonic/hiring-intent-job-signal-extractor").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 isotonic/hiring-intent-job-signal-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=isotonic/hiring-intent-job-signal-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hiring Intent / Job Posting Signal Extractor", "description": "Extracts public hiring intent signals from Greenhouse, Lever, and generic public careers pages.", "version": "1.0", "x-build-id": "t94WSm0rva13cHUUu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/isotonic~hiring-intent-job-signal-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-isotonic-hiring-intent-job-signal-extractor", "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/isotonic~hiring-intent-job-signal-extractor/runs": { "post": { "operationId": "runs-sync-isotonic-hiring-intent-job-signal-extractor", "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/isotonic~hiring-intent-job-signal-extractor/run-sync": { "post": { "operationId": "run-sync-isotonic-hiring-intent-job-signal-extractor", "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": { "companyDomains": { "title": "Company domains", "type": "array", "description": "Company website domains to probe for public careers pages.", "items": { "type": "string" } }, "careerUrls": { "title": "Career page URLs", "type": "array", "description": "Public career page URLs to inspect.", "items": { "type": "string" } }, "atsUrls": { "title": "ATS URLs", "type": "array", "description": "Public ATS board URLs such as Greenhouse or Lever endpoints/pages.", "items": { "type": "string" } }, "queryTerms": { "title": "Query terms", "type": "array", "description": "Optional terms used to filter extracted jobs or boost scoring.", "items": { "type": "string" } }, "maxJobs": { "title": "Maximum jobs", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Global limit for extracted jobs.", "default": 100 }, "requestTimeoutSecs": { "title": "Request timeout seconds", "minimum": 5, "maximum": 120, "type": "integer", "description": "Timeout used for each public URL fetch.", "default": 20 }, "keywordTaxonomy": { "title": "Keyword taxonomy", "type": "object", "description": "Optional partial taxonomy override for tools, pain keywords, intent categories, and personas." } } }, "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 } } } } } } } } } } ```