# Career Site Job Listing Scraper (`thirdwatch/career-site-job-scraper`) Actor Scrape job listings from any company career page. Auto-detects Lever, Greenhouse, Workday, BambooHR, Keka, and custom career sites. Extracts title, location, department, and apply URL. - **URL**: https://apify.com/thirdwatch/career-site-job-scraper.md - **Developed by:** [Thirdwatch](https://apify.com/thirdwatch) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.80 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Career Site Job Listing Scraper > Track buying signals from company hiring: pull live job postings from Lever, Greenhouse, Workable, and 30+ ATS platforms. The cleanest "they're hiring for X" signal in B2B sales. ### Track hiring intent across 30+ ATS platforms Lever, Greenhouse, Workday, BambooHR, Keka, Ashby, Recruitee, and any generic career page — one actor, one schema. Career sites are the source of truth for hiring intent: postings appear here days before LinkedIn Jobs or Indeed pick them up, and senior/stealth roles often never leave the employer site at all. ### Buying signals from job postings (the smartest B2B intent data) If a company is hiring 5 Salesforce admins, sell them Salesforce. If they posted a "Senior Snowflake Engineer", they're a Snowflake account. Job postings are the most specific, real-time intent signal available — far more actionable than generic ZoomInfo Intent or Bombora topic scores. Pipe career-site data into your CRM and trigger plays the same day a relevant role goes live. ### What you get Works with all major career page platforms: Lever, Greenhouse, Workday, BambooHR, Keka, Ashby, Recruitee, and any generic career page. Extracts job titles, locations, departments, and apply URLs automatically. Pass a list of company career URLs and get a clean, structured feed back — no per-platform configuration needed. ### Use cases & recipes Step-by-step guides on [thirdwatch.dev/blog](https://thirdwatch.dev/blog): - [Build a Jobs Aggregator from Company Career Pages (2026)](https://thirdwatch.dev/blog/build-jobs-aggregator-from-company-career-pages) - [Scrape Greenhouse Jobs for ATS Enrichment (2026 Guide)](https://thirdwatch.dev/blog/scrape-greenhouse-jobs-for-ats-enrichment) - [Scrape Lever Jobs for a Recruiter Sourcing Pipeline (2026)](https://thirdwatch.dev/blog/scrape-lever-jobs-for-recruiter-pipeline) - [Track Startup Hiring Velocity with Career Site Data (2026)](https://thirdwatch.dev/blog/track-startup-hiring-velocity-with-career-sites) -end ### Supported platforms - **Lever** (`jobs.lever.co/{company}`) - **Greenhouse** (`boards.greenhouse.io/{company}`) - **Workday** (`{company}.myworkdayjobs.com`) - **BambooHR** (`{company}.bamboohr.com/careers`) - **Keka** (`{company}.keka.com/careers`) - **Ashby** (`jobs.ashbyhq.com/{company}`) - **Recruitee** (`{company}.recruitee.com`) - **Generic** (any career page with job listings) ### Output fields | Field | Description | |-------|-------------| | `title` | Job title | | `company_name` | Company name (auto-detected) | | `department` | Department / team | | `location` | Job location | | `job_type` | Full-time, part-time, contract, etc. | | `apply_url` | Direct application URL | | `description` | Job description (when `scrapeDescriptions` is on) | | `ats_platform` | Detected platform (lever, greenhouse, workday, etc.) | ### Example output ```json { "title": "Senior Backend Engineer", "company_name": "Stripe", "department": "Engineering", "location": "San Francisco, CA", "job_type": "Full-time", "apply_url": "https://jobs.lever.co/stripe/abc123", "ats_platform": "lever" } ```` ### Input parameters | Parameter | Required | Description | |-----------|----------|-------------| | `careerPageUrls` | Yes | Career page URLs to scrape (e.g., `https://jobs.lever.co/stripe`, `https://boards.greenhouse.io/discord`). | | `companyName` | No | Override the auto-detected company name. Leave blank to auto-detect. | | `scrapeDescriptions` | No | Visit each job detail page to extract full descriptions. Slower. Default `false`. | | `maxJobsPerSite` | No | Maximum job listings per career page URL. Default `10`, max `500`. | | `proxyConfiguration` | No | Pre-configured for best results. Leave as-is. | ### Use cases - **Sales prospecting on hiring intent**: They're hiring 5 Salesforce admins — sell them Salesforce. Trigger outbound the day a relevant role posts. - **Recruiter sourcing**: Find what companies are hiring for in real-time, before LinkedIn Jobs or Indeed mirror the postings. - **Investor / equity research**: Track headcount growth across a portfolio as a leading indicator of revenue and burn. - **Competitive intelligence**: See what your competitors are building from the engineering, product, and GTM roles they post. - **Job aggregators**: Build a multi-company job feed sourced directly from employer career pages. - **HR and talent analysts**: Track open positions at target companies and teams over time. - **AI agents**: Feed an agent live "who's hiring for X" data straight from the source. ### Limitations - Generic career pages (not on a supported platform) may return partial fields. - Description scraping requires visiting each job page individually and adds runtime. - Some Workday tenants use non-standard authentication and may not return data without additional configuration. - Location strings vary by employer (city vs. city + country vs. "Remote") — no normalization. - The actor reads public career listings; authenticated or internal-only jobs are not accessible. ### Compared to alternatives - **vs. per-platform scrapers (Lever-only, Greenhouse-only, etc.)**: One actor covers 7+ platforms automatically — no need to glue together multiple scrapers. - **vs. LinkedIn Jobs**: LinkedIn lags employer career pages by days and misses ATS-direct postings entirely (especially senior/stealth roles). This actor goes straight to the source so you catch roles the moment they go live. - **vs. paid hiring-signal vendors (ZoomInfo Intent, Bombora, Demandbase)**: Those products charge $20K-$100K/yr for derived "intent" scores. Career-site data is the underlying primary signal — cheaper, raw, and far more specific (job title and department, not a topic bucket). Pairs well with [LinkedIn Jobs Scraper](https://apify.com/thirdwatch/linkedin-jobs-scraper?fpr=9m2cd6) and [Indeed Jobs Scraper](https://apify.com/thirdwatch/indeed-jobs-scraper?fpr=9m2cd6) for maximum-coverage job feeds. ### FAQ **Do I need to know which platform each company uses?** No. The scraper auto-detects Lever, Greenhouse, Workday, BambooHR, Keka, Ashby, Recruitee, and generic pages from the URL. **Can I get full descriptions?** Yes — set `scrapeDescriptions: true`. It fetches each job's detail page, so runs take longer. **How do I monitor many companies?** Schedule the actor daily or hourly on the Apify platform. Pass all career URLs in one run and downstream-dedupe by `apply_url`. **How fresh is the data?** Pulled live from the company's career page at run time. Last verified: 2026-05 More scrapers at [thirdwatch.dev](https://thirdwatch.dev). # Actor input Schema ## `sourceMode` (type: `string`): Search the 2.5M+ direct-ATS index, or scrape specific career page URLs. ## `query` (type: `string`): Role, skill, company, or free-text job search. ## `country` (type: `string`): Country name or two-letter code, for example US, GB, Germany, or India. ## `city` (type: `string`): Optional city filter, for example London, Bengaluru, or New York. ## `company` (type: `string`): Optional employer name filter. ## `atsSource` (type: `string`): Optional source filter such as workday, greenhouse, lever, ashby, or smartrecruiters. ## `postedSince` (type: `string`): ISO date/time, for example 2026-07-01T00:00:00Z. ## `hasSalary` (type: `boolean`): When enabled, exclude jobs without structured salary data. ## `minimumSalary` (type: `number`): Optional minimum structured salary value. ## `employmentType` (type: `string`): For example full\_time, part\_time, contract, or internship. ## `workArrangement` (type: `string`): For example remote, hybrid, or on\_site. ## `excludeDuplicates` (type: `boolean`): Collapse the same opening found through multiple source URLs. ## `includeDescriptions` (type: `boolean`): Include full job descriptions instead of compact snippets. ## `maxResults` (type: `integer`): Maximum number of matching jobs returned across all API pages. ## `careerPageUrls` (type: `array`): List of company career page URLs to scrape (e.g., https://jobs.lever.co/stripe, https://boards.greenhouse.io/discord) ## `companyName` (type: `string`): Override auto-detected company name. Leave blank to auto-detect from URL/page. ## `scrapeDescriptions` (type: `boolean`): Visit each job detail page to extract full descriptions. Slower and uses more credits. ## `maxJobsPerSite` (type: `integer`): Maximum number of job listings to extract per career page URL. ## `proxyConfiguration` (type: `object`): Proxy settings. Leave default for best results. ## Actor input object example ```json { "sourceMode": "careerPages", "query": "data engineer", "hasSalary": false, "excludeDuplicates": true, "includeDescriptions": false, "maxResults": 100, "careerPageUrls": [ "https://jobs.lever.co/solopulseco", "https://boards.greenhouse.io/mark43" ], "scrapeDescriptions": false, "maxJobsPerSite": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (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 = { "query": "data engineer", "maxResults": 100, "careerPageUrls": [ "https://jobs.lever.co/solopulseco", "https://boards.greenhouse.io/mark43" ], "maxJobsPerSite": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("thirdwatch/career-site-job-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 = { "query": "data engineer", "maxResults": 100, "careerPageUrls": [ "https://jobs.lever.co/solopulseco", "https://boards.greenhouse.io/mark43", ], "maxJobsPerSite": 10, } # Run the Actor and wait for it to finish run = client.actor("thirdwatch/career-site-job-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 '{ "query": "data engineer", "maxResults": 100, "careerPageUrls": [ "https://jobs.lever.co/solopulseco", "https://boards.greenhouse.io/mark43" ], "maxJobsPerSite": 10 }' | apify call thirdwatch/career-site-job-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thirdwatch/career-site-job-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Career Site Job Listing Scraper", "description": "Scrape job listings from any company career page. Auto-detects Lever, Greenhouse, Workday, BambooHR, Keka, and custom career sites. Extracts title, location, department, and apply URL.", "version": "2.0", "x-build-id": "acXfcAAWOInuEPjMC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thirdwatch~career-site-job-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thirdwatch-career-site-job-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/thirdwatch~career-site-job-scraper/runs": { "post": { "operationId": "runs-sync-thirdwatch-career-site-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/thirdwatch~career-site-job-scraper/run-sync": { "post": { "operationId": "run-sync-thirdwatch-career-site-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "sourceMode": { "title": "Data source", "enum": [ "globalJobsSearch", "careerPages" ], "type": "string", "description": "Search the 2.5M+ direct-ATS index, or scrape specific career page URLs.", "default": "careerPages" }, "query": { "title": "Keywords", "type": "string", "description": "Role, skill, company, or free-text job search." }, "country": { "title": "Country", "type": "string", "description": "Country name or two-letter code, for example US, GB, Germany, or India." }, "city": { "title": "City", "type": "string", "description": "Optional city filter, for example London, Bengaluru, or New York." }, "company": { "title": "Company", "type": "string", "description": "Optional employer name filter." }, "atsSource": { "title": "ATS source", "type": "string", "description": "Optional source filter such as workday, greenhouse, lever, ashby, or smartrecruiters." }, "postedSince": { "title": "Posted since", "type": "string", "description": "ISO date/time, for example 2026-07-01T00:00:00Z." }, "hasSalary": { "title": "Only jobs with salary data", "type": "boolean", "description": "When enabled, exclude jobs without structured salary data.", "default": false }, "minimumSalary": { "title": "Minimum salary", "minimum": 0, "type": "number", "description": "Optional minimum structured salary value." }, "employmentType": { "title": "Employment type", "type": "string", "description": "For example full_time, part_time, contract, or internship." }, "workArrangement": { "title": "Work arrangement", "type": "string", "description": "For example remote, hybrid, or on_site." }, "excludeDuplicates": { "title": "Exclude duplicate jobs", "type": "boolean", "description": "Collapse the same opening found through multiple source URLs.", "default": true }, "includeDescriptions": { "title": "Include full descriptions", "type": "boolean", "description": "Include full job descriptions instead of compact snippets.", "default": false }, "maxResults": { "title": "Maximum results", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum number of matching jobs returned across all API pages.", "default": 1000 }, "careerPageUrls": { "title": "Career Page URLs", "type": "array", "description": "List of company career page URLs to scrape (e.g., https://jobs.lever.co/stripe, https://boards.greenhouse.io/discord)", "items": { "type": "string" } }, "companyName": { "title": "Company Name Override", "type": "string", "description": "Override auto-detected company name. Leave blank to auto-detect from URL/page." }, "scrapeDescriptions": { "title": "Scrape Full Descriptions", "type": "boolean", "description": "Visit each job detail page to extract full descriptions. Slower and uses more credits.", "default": false }, "maxJobsPerSite": { "title": "Max Jobs Per Site", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of job listings to extract per career page URL.", "default": 10 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Leave default for best results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```