# Net-Empregos Scraper - Portuguese Job Listings (`studio-amba/net-empregos-scraper`) Actor Scrape job listings from Net-Empregos.com, Portugal's largest job board. Search by keyword, location, and category. Extract job titles, companies, salaries, descriptions, and more. No login or cookies required. - **URL**: https://apify.com/studio-amba/net-empregos-scraper.md - **Developed by:** [Studio Amba](https://apify.com/studio-amba) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 0.0% 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 ### What does Net-Empregos Scraper do? **Net-Empregos Scraper** extracts job listings from [Net-Empregos.com](https://www.net-empregos.com), Portugal's largest and most popular job portal with over 64,000 active job offers and 300,000+ registered companies. The scraper collects job titles, company names, locations, salaries, employment types, categories, descriptions, and posting dates. Run it on the Apify platform to get structured job market data via API, schedule recurring scrapes, and integrate results with your existing tools. No login, cookies, or manual browsing required. ### Why use Net-Empregos Scraper? - **Portuguese job market intelligence**: Monitor hiring trends, salary benchmarks, and demand across Portugal's districts and industries. - **Recruitment automation**: Feed job data into your ATS or CRM to track competitors' hiring activity or source candidates. - **Academic and market research**: Analyze the Portuguese labor market at scale with structured, machine-readable data. - **Lead generation**: Identify companies that are actively hiring in specific sectors or regions. - **No technical setup**: Run directly from the Apify Console with a few clicks, or call the API from any programming language. ### How to scrape Net-Empregos data 1. Go to the Net-Empregos Scraper page on Apify. 2. Click **Try for free** to open the actor in the Apify Console. 3. Enter a search query in Portuguese (e.g., `programador`, `engenheiro`, `marketing`). 4. Optionally set a location (e.g., `Lisboa`, `Porto`) and category filter. 5. Set the maximum number of results you want. 6. Click **Start** and wait for the run to finish. 7. Download your data as JSON, CSV, Excel, or connect it via API. ### Input | Field | Type | Description | |-------|------|-------------| | `searchQuery` | String | Job search keyword in Portuguese. Defaults to `programador`. | | `location` | String | City or district (e.g., `Lisboa`, `Porto`, `Braga`). Leave empty for all Portugal. | | `category` | String | Job category filter (e.g., `Informatica / Programacao`, `Engenharia`). | | `maxResults` | Integer | Maximum listings to scrape (default: 100, max: 10,000). | | `proxyConfiguration` | Object | Proxy settings. Portuguese residential proxies are pre-configured. | #### Example input ```json { "searchQuery": "engenheiro", "location": "Lisboa", "category": "", "maxResults": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "PT" } } ```` ### Output The scraper produces a dataset of job listings. Each item contains the following fields: | Field | Type | Description | |-------|------|-------------| | `jobTitle` | String | Job position title | | `company` | String | Hiring company name | | `location` | String | Job location (city/district) | | `salary` | String | Salary information (when listed) | | `employmentType` | String | Tempo Inteiro, Part-Time, Estagio, Teletrabalho, etc. | | `category` | String | Job category on Net-Empregos | | `postedDate` | String | Date posted (YYYY-MM-DD format) | | `jobDescription` | String | Full job description text | | `url` | String | Direct link to the listing on Net-Empregos | | `scrapedAt` | String | ISO 8601 timestamp of data collection | #### Example output ```json { "jobTitle": "Programador Backend Junior (m/f)", "company": "NHCLIMA", "location": "Braga", "salary": "", "employmentType": "Tempo Inteiro", "category": "Informatica ( Programacao )", "postedDate": "2026-06-09", "jobDescription": "O que procuramos? Programador Backend Junior com conhecimentos em PHP, MySQL...", "url": "https://www.net-empregos.com/15540721/programador-backend-junior-m-f/", "scrapedAt": "2026-06-09T14:30:00.000Z" } ``` You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. ### How much does it cost to scrape Net-Empregos? The Apify platform gives you a monthly free tier of platform credits. A typical run scraping 100 job listings takes about 2-5 minutes and uses minimal compute resources. Scraping 1,000 listings costs roughly $0.10-0.30 in platform credits depending on proxy usage. For regular monitoring, schedule daily or weekly runs to track new job postings automatically. ### Tips - **Use Portuguese keywords**: Net-Empregos is a Portuguese-language site. Use Portuguese search terms for best results (e.g., `programador` instead of `programmer`). - **Filter by category**: The 22 available categories help narrow results to relevant sectors without wasting compute on unrelated listings. - **Start small**: Test with `maxResults: 20` to verify your search returns relevant results before scaling up. - **Combine with location**: Filtering by district (e.g., `Lisboa`, `Porto`, `Faro`) reduces noise and speeds up scraping. - **Schedule recurring runs**: Set up a daily or weekly schedule to build a historical dataset of the Portuguese job market. ### Frequently asked questions #### Is it legal to scrape Net-Empregos? This actor extracts publicly available job listing data. It does not access any private, paywalled, or login-protected content. Always review the target website's Terms of Service before scraping, and use the data responsibly and in compliance with applicable laws. #### Can I scrape jobs from specific Portuguese cities? Yes. Use the `location` input field with any Portuguese city or district name (Lisboa, Porto, Braga, Coimbra, Faro, Aveiro, etc.). #### What if the scraper returns no results? - Verify your search query is in Portuguese. - Try a broader query or remove the location/category filter. - Check that proxy settings are configured (Portuguese residential proxies recommended). #### Can I integrate this with my tools? Yes. Apify provides API access, webhooks, and direct integrations with tools like Zapier, Make, Google Sheets, and Slack. You can also use the Apify API Client in Python, JavaScript, or any HTTP-capable language. ### Support If you encounter any issues or have feature requests, please open an issue in the **Issues** tab on this actor's page. For custom scraping solutions or enterprise needs, reach out through the Apify platform. # Actor input Schema ## `searchQuery` (type: `string`): Job search keyword (e.g. 'programador', 'engenheiro', 'marketing'). Defaults to 'programador' if empty. ## `location` (type: `string`): City or district name (e.g. 'Lisboa', 'Porto', 'Braga'). Leave empty for all Portugal. ## `category` (type: `string`): Filter by job category. ## `maxResults` (type: `integer`): Maximum number of job listings to scrape. ## `proxyConfiguration` (type: `object`): Proxy settings for avoiding rate limits. Portuguese proxies recommended. ## Actor input object example ```json { "searchQuery": "programador", "category": "", "maxResults": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "PT" } } ``` # 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": "programador", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "PT" } }; // Run the Actor and wait for it to finish const run = await client.actor("studio-amba/net-empregos-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`šŸ’¾ 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); }); // šŸ“š Want to learn more šŸ“–? Go to ā†’ 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": "programador", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "PT", }, } # Run the Actor and wait for it to finish run = client.actor("studio-amba/net-empregos-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("šŸ’¾ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # šŸ“š Want to learn more šŸ“–? Go to ā†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQuery": "programador", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "PT" } }' | apify call studio-amba/net-empregos-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=studio-amba/net-empregos-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Net-Empregos Scraper - Portuguese Job Listings", "description": "Scrape job listings from Net-Empregos.com, Portugal's largest job board. Search by keyword, location, and category. Extract job titles, companies, salaries, descriptions, and more. No login or cookies required.", "version": "0.1", "x-build-id": "lVa142S6fOvpGqKyl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/studio-amba~net-empregos-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-studio-amba-net-empregos-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/studio-amba~net-empregos-scraper/runs": { "post": { "operationId": "runs-sync-studio-amba-net-empregos-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/studio-amba~net-empregos-scraper/run-sync": { "post": { "operationId": "run-sync-studio-amba-net-empregos-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Job search keyword (e.g. 'programador', 'engenheiro', 'marketing'). Defaults to 'programador' if empty." }, "location": { "title": "Location", "type": "string", "description": "City or district name (e.g. 'Lisboa', 'Porto', 'Braga'). Leave empty for all Portugal." }, "category": { "title": "Category", "enum": [ "", "AdministraĆ§Ć£o / Secretariado", "Artes / Design", "Banca / Seguros", "ComĆ©rcio / Vendas", "ConstruĆ§Ć£o / Arquitectura", "Consultoria / GestĆ£o", "Contabilidade / FinanƧas", "Direito / Advocacia", "EducaĆ§Ć£o / FormaĆ§Ć£o", "Engenharia", "Hotelaria / RestauraĆ§Ć£o", "ImobiliĆ”rio", "IndĆŗstria / ProduĆ§Ć£o", "InformĆ”tica / ProgramaĆ§Ć£o", "Marketing / ComunicaĆ§Ć£o", "Outros", "Recursos Humanos", "SaĆŗde / Medicina", "ServiƧos", "TelecomunicaƧƵes", "Transportes / LogĆ­stica", "Turismo / Lazer" ], "type": "string", "description": "Filter by job category.", "default": "" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of job listings to scrape.", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for avoiding rate limits. Portuguese proxies recommended." } } }, "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 } } } } } } } } } } ```