# Hiring.Cafe Jobs Scraper (`fetch_cat/hiring-cafe-jobs-scraper`) Actor Export public Hiring.Cafe job listings, companies, apply links, salaries, workplace fields, and requirements. - **URL**: https://apify.com/fetch\_cat/hiring-cafe-jobs-scraper.md - **Developed by:** [Hanna Nosova](https://apify.com/fetch_cat) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 50.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.06 / 1,000 job exporteds 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 ## Hiring.Cafe Jobs Scraper Hiring.Cafe Jobs Scraper exports public job listings from Hiring.Cafe into clean datasets for recruiting, labor-market research, lead generation, and job-board monitoring. Give it a Hiring.Cafe URL or simple filters and get job titles, companies, locations, apply links, salary signals, requirements, workplace type, ATS source, and stable IDs. ### Value proposition Hiring.Cafe Jobs Scraper turns public Hiring.Cafe job pages into structured exports that are easy to filter, deduplicate, and load into recruiting or analytics workflows. ### What does this actor do - Scrapes public Hiring.Cafe search pages and individual job pages. - Returns one dataset row per job with flat export-friendly fields and nested company details. - Supports keyword, location, country, remote/hybrid, detail-page, and max-item controls. - Searches across bounded pages, stops at your limit, and deduplicates jobs across pages and input URLs. - Saves a `RUN_SUMMARY` and resumable `RUN_CHECKPOINT` so interrupted larger runs remain diagnosable and restart safely. ### Use cases - **Recruiting teams:** build target lists by role, country, workplace type, or company. - **Job boards:** monitor public openings and normalize apply URLs. - **Market analysts:** study hiring trends, categories, seniority, salary availability, and ATS sources. - **Sales teams:** find companies actively hiring for a technology, function, or region. ### Input example ```json { "startUrls": [{ "url": "https://hiring.cafe/" }], "query": "software engineer", "location": "Germany", "country": "DE", "remoteOnly": false, "fetchDetails": true, "maxItems": 20, "maxPages": 20, "runBudgetSeconds": 240 } ```` ### Output example ```json { "id": "avature___dbgroup___630756", "title": "Nachwuchskräftegesamtkoordinator:in in Teilzeit", "companyName": "Deutsche Bahn", "location": "Königsborn, Saxony-Anhalt, Germany", "workplaceType": "Hybrid", "commitment": ["Part Time"], "salaryMin": null, "salaryMax": null, "salaryCurrency": null, "applyUrl": "https://jobs.deutschebahngroup.careers/...", "jobUrl": "https://hiring.cafe/job/...", "source": "avature", "requirementsSummary": "University degree or comparable training...", "technicalTools": ["Microsoft Outlook", "Microsoft Teams"], "postedAt": "2026-07-13T18:16:37.552Z", "detailFetchStatus": "ok_direct", "warnings": [], "scrapedAt": "2026-07-20T20:00:00.000Z" } ``` ### Input settings | Field | Type | Description | | --- | --- | --- | | `startUrls` | array | Hiring.Cafe homepage, search URLs, or specific `/job/...` URLs. | | `query` | string | Keeps jobs whose title, company, category, or requirements include this text. | | `location` | string | Keeps jobs whose formatted location or location arrays include this text. | | `country` | string | Optional ISO country code filter such as `DE` or `US`. | | `remoteOnly` | boolean | Uses Hiring.Cafe's Remote filter and keeps jobs marked Remote; Hybrid jobs are excluded. | | `fetchDetails` | boolean | Fetches the public full description when available while preserving the base row if enrichment fails. | | `maxItems` | integer | Maximum number of jobs to export. | | `maxPages` | integer | Bounded search-page cap for narrow local filters and larger exports. | | `runBudgetSeconds` | integer | Active-work budget before checkpointing and cleanup; 60-270 seconds. | | `resumeFromCheckpoint` | boolean | Resumes the same input idempotently after migration or timeout pressure. | | `proxyConfiguration` | object | Optional fallback for detected blocking or rate limiting. Direct requests are always attempted first. | ### Output fields | Field | Description | | --- | --- | | `id`, `objectId`, `requisitionId` | Stable identifiers for deduplication. | | `title`, `rawTitle`, `category`, `seniority` | Job title and classification fields. | | `companyName`, `company` | Company name and public company enrichment. | | `applyUrl`, `jobUrl`, `source`, `sourceAndBoardToken` | Apply link, Hiring.Cafe link, and ATS/source fields. | | `location`, `coordinates`, `workplaceType`, `commitment` | Location and work arrangement fields. | | `salaryMin`, `salaryMax`, `salaryPeriod`, `salaryCurrency` | Compensation values and currency when listed. | | `requirementsSummary`, `technicalTools`, `degreeRequirements`, `languageRequirements`, `benefitFlags` | Requirement and benefit signals. | | `postedAt`, `isExpired`, `detailDescription`, `detailFetchStatus` | Timing, status, and full-description information. | | `warnings`, `scrapedAt` | Per-row enrichment warnings and collection timestamp. | `RUN_SUMMARY` in the default key-value store records parsed and saved counts, duplicates, filters, retries, route fallback, target failures, deadline status, and warnings. `RUN_CHECKPOINT` is present only while pending work remains. ### Input recipes - **Keyword and country search:** use the homepage URL, set `query`, `country`, and `maxItems`. - **Remote/hybrid jobs:** set `remoteOnly` to true and optionally add a `query` such as `data engineer`. - **Specific postings:** paste Hiring.Cafe `/job/...` URLs into `startUrls` and set a small `maxItems`. - **Recurring monitoring:** schedule the same input and dedupe downstream on `objectId` or `id`. ### Pricing This actor uses pay-per-event pricing: a small start fee plus one job-exported event per output row. | Event | Free | Starter / Bronze | Scale / Silver | Business / Gold | Platinum | Diamond | | --- | ---: | ---: | ---: | ---: | ---: | ---: | | Run start | $0.005 | $0.005 | $0.005 | $0.005 | $0.005 | $0.005 | | Job exported | $0.000115 | $0.000100 | $0.000078 | $0.000060 | $0.000040 | $0.000028 | The `start` event is charged once after input validation. The `item` event is charged only when a job row is saved. A row with a failed optional full-description fetch is still a paid job row because the base job record was successfully delivered; the warning explains the missing enrichment. At the Starter / Bronze tier, 1,000 exported jobs cost about $0.10 plus the run start fee. ### Reliability and access behavior - The Actor uses HiringCafe's structured public search responses and public full-description service instead of rendering every page in a browser. - Search discovery is paginated with page and item caps, repeated-page detection, stable-ID deduplication, and progressive saves. - HTTP 403, 429, challenge, timeout, and server-error responses use bounded retries against one shared run deadline. - Direct access is attempted first. If you provide `proxyConfiguration`, the Actor can use it as a fallback after direct access is blocked; it does not silently enable residential traffic. - One failed target or optional description does not discard valid jobs from other targets. ### Tips and limits - Start with `maxItems` 20-100 while tuning filters. - Very narrow filters can return zero jobs; broaden the query or location if needed. - Optional salary, degree, benefit, and language fields are returned as `null` or empty arrays when not listed. - `location` and `country` are strict output filters. Increase `maxPages` when a narrow location requires searching more source pages. - The actor only exports public Hiring.Cafe job data. It does not collect private saved jobs, candidate profiles, accounts, or application state. ### API usage #### Node.js ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: process.env.APIFY_TOKEN }); const run = await client.actor('fetch_cat/hiring-cafe-jobs-scraper').call({ query: 'software engineer', country: 'DE', maxItems: 20, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` #### Python ```python from apify_client import ApifyClient client = ApifyClient('YOUR_APIFY_TOKEN') run = client.actor('fetch_cat/hiring-cafe-jobs-scraper').call(run_input={ 'query': 'software engineer', 'country': 'DE', 'maxItems': 20, }) items = client.dataset(run['defaultDatasetId']).list_items().items print(items) ``` #### cURL ```bash curl -X POST 'https://api.apify.com/v2/acts/fetch_cat~hiring-cafe-jobs-scraper/runs?token=YOUR_APIFY_TOKEN' \ -H 'Content-Type: application/json' \ -d '{"query":"software engineer","country":"DE","maxItems":20}' ``` ### MCP / agent usage Claude CLI: ```bash claude mcp add --transport http apify "https://mcp.apify.com?tools=fetch_cat/hiring-cafe-jobs-scraper" ``` JSON config: ```json { "mcpServers": { "apify": { "url": "https://mcp.apify.com?tools=fetch_cat/hiring-cafe-jobs-scraper" } } } ``` Example prompts: - "Export 20 public Hiring.Cafe software engineer jobs in Germany." - "Find remote data engineer jobs on Hiring.Cafe and include apply URLs." - "Scrape this Hiring.Cafe job URL and summarize the company and requirements fields." ### Related actors - [Career Page Job Postings Scraper](https://apify.com/fetch_cat/career-page-job-postings-scraper) - [Naukri and Naukrigulf Jobs Scraper](https://apify.com/fetch_cat/naukri-naukrigulf-jobs-scraper) - [Google Maps Lead Finder](https://apify.com/fetch_cat/google-maps-lead-finder) ### FAQ **Does this require a Hiring.Cafe login?** No. It uses public job pages only. **Does it require a proxy?** Usually no. Direct structured requests are tried first. Configure a proxy only if your route receives repeated block or rate-limit responses. **Why are salary fields empty for some jobs?** Hiring.Cafe and source employers do not always list compensation. **Can I monitor new jobs?** Yes. Schedule recurring runs and dedupe on `id` or `objectId` in your database. **What happens when a larger run approaches its time limit?** The Actor stops admitting new work, saves pending page and stable-ID state to `RUN_CHECKPOINT`, and reserves time for persistence and cleanup. Resurrection with the same input resumes without duplicating already saved jobs. ### Support If a Hiring.Cafe page stops returning expected public jobs, open an Apify issue and include: - your input JSON, - expected output, - actual output, - run ID, - reproducible public URL (a Hiring.Cafe URL anyone can open). # Actor input Schema ## `startUrls` (type: `array`): Optional Hiring.Cafe search or /job/... URLs. Use search URLs for lists and job URLs for specific postings. ## `query` (type: `string`): Keep jobs whose title, company, category, or requirements mention this text. Leave empty for broad, stable homepage exports. ## `location` (type: `string`): Keep jobs whose location contains this city, state, or country text. Leave empty when you need a non-empty smoke test. ## `country` (type: `string`): Optional ISO country code filter, for example DE or US. Leave empty unless you need to enforce a country. ## `remoteOnly` (type: `boolean`): Use Hiring.Cafe's Remote search filter and only export jobs marked Remote. Hybrid jobs are excluded. ## `fetchDetails` (type: `boolean`): Fetch the public full description when available. Keeps search-level data with a warning if the description is unavailable. ## `maxItems` (type: `integer`): Maximum number of job records to export. ## `maxPages` (type: `integer`): Safety cap for paginated discovery. Increase only when narrow local filters need more source pages. ## `runBudgetSeconds` (type: `integer`): Maximum active work time before the Actor saves a resumable checkpoint and reserves time for cleanup. ## `resumeFromCheckpoint` (type: `boolean`): Resume idempotently from RUN\_CHECKPOINT when the same run is resurrected after migration or timeout pressure. ## `proxyConfiguration` (type: `object`): Optional bounded fallback for 403, 429, or challenge responses. Direct structured requests are tried first, so a proxy is not charged unless fallback is needed. ## Actor input object example ```json { "startUrls": [ { "url": "https://hiring.cafe/" } ], "remoteOnly": false, "fetchDetails": true, "maxItems": 20, "maxPages": 20, "runBudgetSeconds": 240, "resumeFromCheckpoint": true, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `overview` (type: `string`): No description ## `runSummary` (type: `string`): No description ## `runCheckpoint` (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 = { "startUrls": [ { "url": "https://hiring.cafe/" } ], "maxItems": 20, "maxPages": 20, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("fetch_cat/hiring-cafe-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 = { "startUrls": [{ "url": "https://hiring.cafe/" }], "maxItems": 20, "maxPages": 20, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("fetch_cat/hiring-cafe-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 '{ "startUrls": [ { "url": "https://hiring.cafe/" } ], "maxItems": 20, "maxPages": 20, "proxyConfiguration": { "useApifyProxy": false } }' | apify call fetch_cat/hiring-cafe-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fetch_cat/hiring-cafe-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hiring.Cafe Jobs Scraper", "description": "Export public Hiring.Cafe job listings, companies, apply links, salaries, workplace fields, and requirements.", "version": "0.1", "x-build-id": "jEsxsEH1gJ1vw5swt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fetch_cat~hiring-cafe-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fetch_cat-hiring-cafe-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fetch_cat~hiring-cafe-jobs-scraper/runs": { "post": { "operationId": "runs-sync-fetch_cat-hiring-cafe-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fetch_cat~hiring-cafe-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-fetch_cat-hiring-cafe-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "maxItems" ], "properties": { "startUrls": { "title": "Hiring.Cafe URLs", "type": "array", "description": "Optional Hiring.Cafe search or /job/... URLs. Use search URLs for lists and job URLs for specific postings.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "query": { "title": "Keyword query", "type": "string", "description": "Keep jobs whose title, company, category, or requirements mention this text. Leave empty for broad, stable homepage exports." }, "location": { "title": "Location filter", "type": "string", "description": "Keep jobs whose location contains this city, state, or country text. Leave empty when you need a non-empty smoke test." }, "country": { "title": "Country code", "type": "string", "description": "Optional ISO country code filter, for example DE or US. Leave empty unless you need to enforce a country." }, "remoteOnly": { "title": "Remote only", "type": "boolean", "description": "Use Hiring.Cafe's Remote search filter and only export jobs marked Remote. Hybrid jobs are excluded.", "default": false }, "fetchDetails": { "title": "Fetch full descriptions", "type": "boolean", "description": "Fetch the public full description when available. Keeps search-level data with a warning if the description is unavailable.", "default": true }, "maxItems": { "title": "Maximum jobs", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of job records to export.", "default": 20 }, "maxPages": { "title": "Maximum search pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Safety cap for paginated discovery. Increase only when narrow local filters need more source pages.", "default": 20 }, "runBudgetSeconds": { "title": "Run work budget", "minimum": 60, "maximum": 270, "type": "integer", "description": "Maximum active work time before the Actor saves a resumable checkpoint and reserves time for cleanup.", "default": 240 }, "resumeFromCheckpoint": { "title": "Resume interrupted work", "type": "boolean", "description": "Resume idempotently from RUN_CHECKPOINT when the same run is resurrected after migration or timeout pressure.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional bounded fallback for 403, 429, or challenge responses. Direct structured requests are tried first, so a proxy is not charged unless fallback is needed." } } }, "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 } } } } } } } } } } ```