# InfoJobs Scraper — Spain Jobs (`unfenced-group/infojobs-net-scraper`) Actor Scrape InfoJobs.net for structured job listings across Spain and Latin America. Titles, companies, salaries, work modes, full descriptions, deduplication. 2x cheaper than alternatives. No API key needed. - **URL**: https://apify.com/unfenced-group/infojobs-net-scraper.md - **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.49 / 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/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 ![InfoJobs Scraper](https://i.imgur.com/HS2YTWQ.png) ## InfoJobs Scraper — Spain Jobs Extract structured job listings from [InfoJobs.net](https://www.infojobs.net), Spain's largest employment platform with over 3 million registered professionals. Get titles, companies, locations, work modes, contract types, full descriptions, and more — no API key required. ### Features - **Full job descriptions** included directly from search results — no extra requests per listing - **All 50 Spanish provinces** supported via name or ID - **Incremental runs** with 90-day cross-run deduplication to skip previously seen jobs - **Date filtering** to retrieve only recent listings (1, 7, 15, or 30 days) - **Pagination** automatically handles all result pages up to your `maxResults` limit ### Output fields | Field | Description | |---|---| | `id` | Unique job identifier | | `url` | Direct link to the job listing | | `title` | Job title | | `company` | Hiring company name | | `companyUrl` | Company profile link | | `city` | City or region | | `workMode` | `Remote`, `Hybrid`, or `On-site` | | `contractType` | Contract type (e.g. `Contrato indefinido`) | | `workSchedule` | Work schedule (e.g. `Jornada completa`) | | `publishDate` | Publication date (ISO 8601) | | `daysOld` | Days since publication | | `descriptionText` | Full job description (plain text) | | `descriptionHtml` | Full job description (HTML) | | `descriptionMarkdown` | Full job description (Markdown) | | `isFeatured` | Whether the listing is promoted | | `applyUrl` | Application link | | `isRepost` | Whether this job was seen in a previous run | | `scrapedAt` | Timestamp of data collection | ### Input parameters | Parameter | Type | Description | |---|---|---| | `searchQuery` | String | Keywords to search (e.g. `developer`, `enfermero`) | | `location` | String | Province name (e.g. `Madrid`, `Barcelona`, `Sevilla`) or leave empty for all Spain | | `maxResults` | Integer | Maximum results to return (default: `100`) | | `daysOld` | Integer | Only return jobs posted within N days (1, 7, 15, or 30) | | `skipReposts` | Boolean | Skip jobs already seen in previous runs | | `startUrls` | Array | Optional InfoJobs search page URLs to scrape directly | ### Example input ```json { "searchQuery": "data engineer", "location": "Barcelona", "maxResults": 200, "daysOld": 7, "skipReposts": true } ```` ### Usage notes - Results are sorted by **relevance** by default, or by **publication date** when `daysOld` is set - `startUrls` accepts InfoJobs search page URLs (e.g. from your own filtered search on the website) - The deduplication store persists for 90 days across runs — ideal for scheduled daily/weekly scrapes - Province names are matched flexibly: `Madrid`, `madrid`, `MADRID` all work ### Use cases - **Recruitment analytics** — track hiring trends across Spanish industries - **Salary benchmarking** — collect compensation data by role and region - **Job aggregation** — feed listings into your own platform or database - **Market research** — monitor competitor hiring activity and skill demand ### Pricing This actor uses **Pay-Per-Result** pricing: **$1.49 per 1,000 results**. A typical run fetching 500 jobs costs approximately $0.75. *** *Data is collected from publicly available job listings on InfoJobs.net. Only public information is extracted — no personal data of candidates or private employer information.* # Actor input Schema ## `searchQuery` (type: `string`): Keyword(s) to search for, e.g. 'developer', 'marketing manager', 'enfermero'. ## `location` (type: `string`): Spanish province name, e.g. 'Madrid', 'Barcelona', 'Sevilla'. Leave empty for all of Spain. ## `maxResults` (type: `integer`): Maximum number of job listings to return. ## `daysOld` (type: `integer`): Only return jobs posted within this many days. Supported values: 1, 7, 15, 30. Leave empty for all dates. ## `skipReposts` (type: `boolean`): Skip jobs already seen in previous runs (90-day memory). Useful for incremental/scheduled runs. ## `startUrls` (type: `array`): Optional list of InfoJobs search page URLs to scrape, e.g. 'https://www.infojobs.net/jobsearch/search-results/list.xhtml?keyword=developer\&province=28'. Overrides keyword/location search. Note: individual job detail URLs are not supported. ## Actor input object example ```json { "searchQuery": "", "location": "", "maxResults": 100, "skipReposts": false, "startUrls": [] } ``` # Actor output Schema ## `OUTPUT` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("unfenced-group/infojobs-net-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 = {} # Run the Actor and wait for it to finish run = client.actor("unfenced-group/infojobs-net-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 '{}' | apify call unfenced-group/infojobs-net-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=unfenced-group/infojobs-net-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "InfoJobs Scraper — Spain Jobs", "description": "Scrape InfoJobs.net for structured job listings across Spain and Latin America. Titles, companies, salaries, work modes, full descriptions, deduplication. 2x cheaper than alternatives. No API key needed.", "version": "0.0", "x-build-id": "jeZTugU2wqF1wYFND" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unfenced-group~infojobs-net-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unfenced-group-infojobs-net-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/unfenced-group~infojobs-net-scraper/runs": { "post": { "operationId": "runs-sync-unfenced-group-infojobs-net-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/unfenced-group~infojobs-net-scraper/run-sync": { "post": { "operationId": "run-sync-unfenced-group-infojobs-net-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Keyword(s) to search for, e.g. 'developer', 'marketing manager', 'enfermero'.", "default": "" }, "location": { "title": "Location (province)", "type": "string", "description": "Spanish province name, e.g. 'Madrid', 'Barcelona', 'Sevilla'. Leave empty for all of Spain.", "default": "" }, "maxResults": { "title": "Max results", "minimum": 1, "type": "integer", "description": "Maximum number of job listings to return.", "default": 100 }, "daysOld": { "title": "Max age (days)", "type": "integer", "description": "Only return jobs posted within this many days. Supported values: 1, 7, 15, 30. Leave empty for all dates." }, "skipReposts": { "title": "Skip reposts", "type": "boolean", "description": "Skip jobs already seen in previous runs (90-day memory). Useful for incremental/scheduled runs.", "default": false }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Optional list of InfoJobs search page URLs to scrape, e.g. 'https://www.infojobs.net/jobsearch/search-results/list.xhtml?keyword=developer&province=28'. Overrides keyword/location search. Note: individual job detail URLs are not supported.", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```