# Hiring.Cafe Search by URLs or Filters/Keywords (`madeingermany/apify-hiring-cafe-scraper`) Actor Extract job listings, descriptions, salary ranges, requirements, and company data from Hiring.cafe via fast HTTP crawler with zero browser overhead. - **URL**: https://apify.com/madeingermany/apify-hiring-cafe-scraper.md - **Developed by:** [Made In Germany](https://apify.com/madeingermany) (community) - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.25 / 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. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## Hiring.Cafe Job Scraper — Remote Tech Jobs, Transparent Salary Bands & Filters High-performance, production-grade Apify Actor to extract job postings from [Hiring.cafe](https://hiringcafe.com). Extracts complete job data including job IDs, full descriptions, salary ranges, company intelligence, technical requirements, visa sponsorship, and location data at lightning speed. *** ### 💰 Pricing (Pay-Per-Event) This actor operates on a pay-as-you-go **Pay-Per-Event (PPE)** pricing model. You only pay for what you extract: | Event Name | Purpose | Price (USD) | Description | |---|---|---|---| | **`apify-default-dataset-item`** | result | `$0.00125` | Single result in the default dataset. | | **`apify-actor-start`** | Actor Start | `$0.005` | Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event). | *** ### ⚡ Why Use This Scraper Over Alternatives? Unlike traditional browser-based scrapers (Puppeteer/Playwright) that waste memory, time, and proxy bandwidth: - **Pure HTTP-First Architecture**: Powered by Crawlee `CheerioCrawler` and `got-scraping` directly parsing server-side Next.js data with zero Chromium overhead. - **Ultra-Fast & Cost-Efficient**: Up to **10x faster** and consumes a fraction of memory, keeping your compute and proxy costs minimal. - **Pay-Per-Event (PPE) Pricing**: Pay only for successful starts ($0.005) and extracted dataset items ($0.00125). - **Intelligent Cloudflare Circumvention**: Uses modern Chrome TLS fingerprinting, realistic HTTP/2 frame ordering, and rotating residential proxies to bypass bot mitigation seamlessly. - **Rich Structured Fields**: Extracts salary min/max, compensation currency & frequency, workplace type (Remote/Hybrid/Onsite), required tech stack, YOE, visa sponsorship, and company metadata (size, industry, website). - **Flexible Modes**: - **Start URLs**: Accepts search URLs (`https://hiring.cafe/?searchState=...`), company pages (`https://hiring.cafe/org/...`), or direct job detail URLs (`https://hiring.cafe/job/...`). - **Search by Keywords**: Run custom search queries and workplace filters directly without needing to open the browser. *** ### 📥 Input Parameters | Field | Type | Default | Description | |---|---|---|---| | `startUrls` | Array | `[{"url": "https://hiring.cafe/"}]` | List of Hiring.cafe URLs to scrape (search pages, company pages, or single jobs). | | `searchQuery` | String | `"Remote Full Stack Engineer"` | Free-text keyword / job title search filter (used if no search URL is given). | | `workplaceType` | String | `"Any"` | Filter by workplace type: `"Any"`, `"Remote"`, `"Hybrid"`, or `"Onsite"`. | | `maxItems` | Integer | `50` | Maximum number of job postings to collect (1 - 50,000). | | `proxy` | Object | `{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}` | Apify Proxy configuration. Residential proxies recommended. | #### Sample Input JSON ```json { "startUrls": [ { "url": "https://hiring.cafe/?searchState=%7B%22searchQuery%22%3A%22software%20engineer%22%7D" } ], "searchQuery": "Software Engineer", "workplaceType": "Remote", "maxItems": 100, "proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` *** ### 📤 Output Data Structure Each job posting pushed to the default dataset contains normalized and structured fields: | Field | Type | Description | |---|---|---| | `jobId` | String | Unique identifier of the job posting | | `title` | String | Job title | | `company` | String | Employer or company name | | `minSalary` | Number | null | Minimum annual compensation (if available) | | `maxSalary` | Number | null | Maximum annual compensation (if available) | | `location` | String | Formatted workplace location or city/state/country | | `applyLink` | String | Direct external application link or job URL | | `salaryCurrency` | String | null | Currency of the compensation (e.g. `USD`, `EUR`) | | `salaryPeriod` | String | null | Frequency (e.g. `Yearly`, `Monthly`, `Hourly`) | | `workplaceType` | String | null | `Remote`, `Hybrid`, or `Onsite` | | `seniorityLevel` | String | null | `Entry Level`, `Mid Level`, `Senior Level`, etc. | | `commitment` | Array\ | null | Employment commitment (e.g. `["Full Time"]`) | | `technicalTools` | Array\ | null | Extracted tech stack tools and frameworks | | `requirementsSummary` | String | null | AI-summarized requirements & qualifications | | `datePosted` | String | null | ISO timestamp of when the job was posted | | `companyWebsite` | String | null | Official company website domain or URL | | `companyIndustry` | Array\ | null | Company industry categories | | `companySize` | Number | null | Estimated number of employees | | `companyHqCountry` | String | null | Headquarters country code | | `visaSponsorship` | Boolean | null | Flag indicating whether visa sponsorship is offered | | `relocationAssistance`| Boolean | null | Flag indicating whether relocation support is provided | | `geoloc` | Array\ | null | Latitude and longitude coordinates | | `requisitionId` | String | null | Internal Hiring.cafe 16-character requisition identifier | | `sourceUrl` | String | Source URL that produced this record | #### Sample Output Record ```json { "jobId": "taleo_careersection_nato_261556", "title": "Senior Logistician", "company": "NATO Communications and Information Agency", "minSalary": 63127.8, "maxSalary": 63127.8, "location": "Geilenkirchen, North Rhine-Westphalia, Germany", "applyLink": "https://nato.taleo.net/careersection/1/jobdetail.ftl?job=261556&lang=en", "salaryCurrency": "EUR", "salaryPeriod": "Monthly", "workplaceType": "Onsite", "seniorityLevel": "Mid Level", "commitment": ["Full Time"], "technicalTools": ["Oracle EBA", "CNAFS", "CableSolve"], "requirementsSummary": "Higher vocational training with 2 years post-related experience or secondary education with 4 years; 2-4 years supply/logistics experience; ERP/logistics systems experience (Oracle EBA or CNAFS); thorough knowledge of one NATO language; NATO Secret clearance.", "datePosted": "2026-09-27T23:08:18.964Z", "companyWebsite": "nato.int", "companyIndustry": [ "Military & Defense", "International & Intergovernmental Organizations" ], "companySize": 6000, "companyHqCountry": "BE", "visaSponsorship": false, "relocationAssistance": false, "geoloc": [ { "lat": 50.9673, "lon": 6.1176 } ], "requisitionId": "aonn6ilnhzc2901d", "sourceUrl": "https://hiringcafe.com/" } ``` *** ### 🔍 How to Integrate via API Call this Actor using the Apify API: ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN', }); const run = await client.actor('MadeInGermany/apify-hiring-cafe-scraper').call({ searchQuery: 'Backend Engineer Python', workplaceType: 'Remote', maxItems: 50, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` *** ### 🏷️ Tags & Categories `hiring-cafe`, `hiringcafe`, `job-scraper`, `jobs`, `remote-jobs`, `recruitment`, `career`, `hiring`, `employment`, `salary-data`, `lead-generation` # Actor input Schema ## `startUrls` (type: `array`): URLs to start scraping from. Supports Hiring.cafe search URLs (e.g., https://hiring.cafe/?searchState=...), company pages (https://hiring.cafe/org/...), and job detail pages (https://hiring.cafe/job/...). ## `searchQuery` (type: `string`): Free-text job title or skill keyword to search for (used if no search URL is provided). ## `workplaceType` (type: `string`): Filter by workplace setting: Remote, Hybrid, Onsite, or Any. ## `maxItems` (type: `integer`): Maximum number of job listings to extract. ## `proxy` (type: `object`): Proxy settings for scraping. Apify Residential proxies recommended for high-volume jobs. ## Actor input object example ```json { "startUrls": [ { "url": "https://hiring.cafe/" } ], "searchQuery": "Remote Full Stack Engineer", "workplaceType": "Any", "maxItems": 50, "proxy": { "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 = { "startUrls": [ { "url": "https://hiring.cafe/" } ], "searchQuery": "Remote Full Stack Engineer", "workplaceType": "Any", "maxItems": 50, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("madeingermany/apify-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 = { "startUrls": [{ "url": "https://hiring.cafe/" }], "searchQuery": "Remote Full Stack Engineer", "workplaceType": "Any", "maxItems": 50, "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("madeingermany/apify-hiring-cafe-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).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/" } ], "searchQuery": "Remote Full Stack Engineer", "workplaceType": "Any", "maxItems": 50, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call madeingermany/apify-hiring-cafe-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,madeingermany/apify-hiring-cafe-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/I8qjjUXVHj6pWMZfz/builds/vg4CkQmFUGcG6f1Ik/openapi.json