# Hiring.cafe Job Scraper (`manojachari/hiring-cafe-scraper`) Actor Scrapes job listings from hiring.cafe using their internal API. Supports filtering by keyword, location, workplace type, seniority, and more. - **URL**: https://apify.com/manojachari/hiring-cafe-scraper.md - **Developed by:** [Manoj Achari](https://apify.com/manojachari) (community) - **Categories:** Jobs, Automation, Integrations - **Stats:** 8 total users, 3 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Hiring.cafe Job Scraper Scrape thousands of job listings from [hiring.cafe](https://hiring.cafe) in seconds. Get structured data with direct apply links, company names, locations, seniority levels, and engagement metrics — ready for spreadsheets, dashboards, or your own job search tool. ### What is hiring.cafe? [Hiring.cafe](https://hiring.cafe) is a job aggregation platform that indexes millions of job listings from thousands of companies. It pulls from major job boards like Greenhouse, Lever, Workable, Workday, BambooHR, and company career pages — giving you a single source to search across all of them. ### What does this Actor do? This Actor searches hiring.cafe using its internal API and returns clean, structured job data. It handles Cloudflare protection automatically using an anti-detect browser, so you get reliable results every time. **How it works:** 1. Launches a stealth browser to establish a session with hiring.cafe 2. Bypasses Cloudflare Turnstile challenge automatically 3. Queries the hiring.cafe search API with your filters 4. Returns structured JSON data for each job listing ### Features - **Keyword search** — Search for any job title, skill, or keyword - **Location filtering** — Filter by country: United States, United Kingdom, Canada, Germany, India - **Workplace type** — Remote, Hybrid, or Onsite - **Seniority level** — No Prior Experience, Entry Level, Mid Level, Senior Level - **Commitment type** — Full Time, Part Time, Contract, Internship, Temporary, Seasonal, Volunteer - **Industry filtering** — 34 industries including AI & Machine Learning, Fintech, SaaS, Healthcare, Cybersecurity, and more - **Company filtering** — Include or exclude specific companies by name - **Date filtering** — Only get jobs posted within the last N days (1–365) - **Engagement metrics** — See how many people viewed, applied to, and saved each listing - **Budget control** — Automatically stops when your max charge limit is reached ### Output Each job listing includes: | Field | Type | Description | |---|---|---| | `id` | string | Unique job listing ID | | `title` | string | Job title | | `source` | string | Company name | | `apply_url` | string | Direct link to apply | | `board_token` | string | Job board identifier | | `description` | string | Full job description (HTML cleaned) | | `location` | string | City, state/region, country | | `workplace_type` | string | Remote, Hybrid, or Onsite | | `seniority` | string | Experience level required | | `commitment_type` | string | Full Time, Part Time, Contract, etc. | | `posted_at` | string | ISO 8601 timestamp of when the job was posted | | `industry` | string | Industry or job category | | `viewed_count` | number | Number of views on hiring.cafe | | `applied_count` | number | Number of applications via hiring.cafe | | `saved_count` | number | Number of saves on hiring.cafe | ### Example use cases - **Job seekers** — Build a personal job tracker with fresh listings updated daily - **Recruiters** — Monitor competitor hiring patterns across industries - **Market researchers** — Analyze hiring trends by role, location, or industry - **HR teams** — Benchmark job titles, seniority levels, and commitment types in your market - **Data analysts** — Feed structured job data into dashboards or ML pipelines ### Input examples #### Find remote product manager jobs posted this week ```json { "searchQuery": "product manager", "workplaceTypes": ["Remote"], "seniorityLevels": ["Mid Level", "Senior Level"], "commitmentTypes": ["Full Time"], "dateFetchedPastNDays": 7, "maxResults": 100 } ```` #### Find entry-level AI jobs in the US ```json { "searchQuery": "machine learning engineer", "location": "United States", "workplaceTypes": ["Remote", "Hybrid"], "seniorityLevels": ["Entry Level", "No Prior Experience Required"], "industries": ["AI & Machine Learning"], "dateFetchedPastNDays": 30 } ``` #### Monitor a specific company's hiring ```json { "searchQuery": "", "companyNames": ["Google", "Meta", "Apple"], "location": "United States", "dateFetchedPastNDays": 7 } ``` ### Proxy configuration This Actor requires a real browser to bypass Cloudflare protection. **Residential proxies are required** for reliable results on Apify cloud. In the proxy settings, enable: - **Use Apify Proxy**: Yes - **Proxy groups**: `RESIDENTIAL` Without residential proxies, Cloudflare will block the requests. ### Pricing This Actor uses pay-per-result pricing: | Component | Cost | |---|---| | Start fee | $0.01 per run | | Per result | $0.003 per job listing | **Examples:** - 100 jobs = **$0.31** - 500 jobs = **$1.51** - 1,000 jobs = **$3.01** - 5,000 jobs = **$15.01** Set a **max charge limit** on your run and the Actor will automatically stop before exceeding it. ### Limitations - **Location presets** — Currently supports 5 country-level locations (US, UK, Canada, Germany, India). City-level filtering is not yet supported. - **Cloudflare dependency** — The Actor needs to pass Cloudflare's challenge on each run, which adds ~10–20 seconds of startup time. - **Data freshness** — Results come directly from hiring.cafe's index. Some listings may be stale if the original job board hasn't been re-crawled recently. - **Residential proxies required** — Datacenter proxies will be blocked by Cloudflare. Residential proxy usage incurs additional Apify platform costs. ### Changelog - **1.0** — Initial release with keyword search, location/workplace/seniority/commitment/industry filters, engagement metrics, and Cloudflare bypass via Camoufox. # Actor input Schema ## `searchQuery` (type: `string`): Keywords to search for (e.g., 'software engineer', 'product manager') ## `location` (type: `string`): Job location filter. Supported presets: United States, United Kingdom, Canada, Germany, India, Remote ## `workplaceTypes` (type: `array`): Filter by workplace type ## `seniorityLevels` (type: `array`): Filter by seniority level. Select one or more. ## `commitmentTypes` (type: `array`): Filter by commitment type. Select one or more. ## `dateFetchedPastNDays` (type: `integer`): Only fetch jobs posted within the last N days ## `maxResults` (type: `integer`): Maximum number of jobs to scrape. Set to 0 for unlimited (may require increasing the run timeout). ## `companyNames` (type: `array`): Only include jobs from these companies ## `excludedCompanyNames` (type: `array`): Exclude jobs from these companies ## `industries` (type: `array`): Filter by industry/sector. Select one or more. ## `proxyConfiguration` (type: `object`): Proxy settings. On Apify, enable residential proxies for best results with Cloudflare. ## Actor input object example ```json { "searchQuery": "software engineer", "location": "United States", "workplaceTypes": [], "seniorityLevels": [], "commitmentTypes": [], "dateFetchedPastNDays": 30, "maxResults": 1000, "companyNames": [], "excludedCompanyNames": [], "industries": [] } ``` # Actor output Schema ## `jobListings` (type: `string`): Dataset containing scraped job listings from hiring.cafe # 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 = { "searchQuery": "software engineer" }; // Run the Actor and wait for it to finish const run = await client.actor("manojachari/hiring-cafe-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 = { "searchQuery": "software engineer" } # Run the Actor and wait for it to finish run = client.actor("manojachari/hiring-cafe-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 '{ "searchQuery": "software engineer" }' | apify call manojachari/hiring-cafe-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=manojachari/hiring-cafe-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hiring.cafe Job Scraper", "description": "Scrapes job listings from hiring.cafe using their internal API. Supports filtering by keyword, location, workplace type, seniority, and more.", "version": "1.0", "x-build-id": "Psu0vg6qSeFndckXX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/manojachari~hiring-cafe-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-manojachari-hiring-cafe-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/manojachari~hiring-cafe-scraper/runs": { "post": { "operationId": "runs-sync-manojachari-hiring-cafe-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/manojachari~hiring-cafe-scraper/run-sync": { "post": { "operationId": "run-sync-manojachari-hiring-cafe-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchQuery" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Keywords to search for (e.g., 'software engineer', 'product manager')" }, "location": { "title": "Location", "type": "string", "description": "Job location filter. Supported presets: United States, United Kingdom, Canada, Germany, India, Remote", "default": "United States" }, "workplaceTypes": { "title": "Workplace Types", "type": "array", "description": "Filter by workplace type", "items": { "type": "string", "enum": [ "Remote", "Hybrid", "Onsite" ] }, "default": [] }, "seniorityLevels": { "title": "Seniority Levels", "type": "array", "description": "Filter by seniority level. Select one or more.", "items": { "type": "string", "enum": [ "No Prior Experience Required", "Entry Level", "Mid Level", "Senior Level" ] }, "default": [] }, "commitmentTypes": { "title": "Commitment Types", "type": "array", "description": "Filter by commitment type. Select one or more.", "items": { "type": "string", "enum": [ "Full Time", "Part Time", "Contract", "Internship", "Temporary", "Seasonal", "Volunteer" ] }, "default": [] }, "dateFetchedPastNDays": { "title": "Date Fetched (Past N Days)", "minimum": 1, "maximum": 365, "type": "integer", "description": "Only fetch jobs posted within the last N days", "default": 30 }, "maxResults": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum number of jobs to scrape. Set to 0 for unlimited (may require increasing the run timeout).", "default": 1000 }, "companyNames": { "title": "Company Names", "type": "array", "description": "Only include jobs from these companies", "default": [], "items": { "type": "string" } }, "excludedCompanyNames": { "title": "Excluded Company Names", "type": "array", "description": "Exclude jobs from these companies", "default": [], "items": { "type": "string" } }, "industries": { "title": "Industries", "type": "array", "description": "Filter by industry/sector. Select one or more.", "items": { "type": "string", "enum": [ "Advertising & Marketing", "Aerospace & Defense", "Agriculture & Food", "AI & Machine Learning", "Automotive", "Biotechnology", "Blockchain & Web3", "Cloud Computing", "Construction", "Consulting", "Consumer Electronics", "Cybersecurity", "E-Commerce", "Education & EdTech", "Energy & Utilities", "Entertainment & Media", "Finance & Banking", "Fintech", "Gaming", "Government & Public Sector", "Healthcare & Life Sciences", "Hospitality & Travel", "Insurance", "Legal", "Logistics & Supply Chain", "Manufacturing", "Non-Profit", "Pharmaceuticals", "Real Estate & PropTech", "Retail", "SaaS", "Semiconductors", "Social Media", "Telecommunications", "Transportation" ] }, "default": [] }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. On Apify, enable residential proxies for best results with Cloudflare." } } }, "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 } } } } } } } } } } ```