# Infojobs Spain Scraper ($0.9 per 1000 results) (`igolaizola/infojobs-scraper`) Actor $0.9/1K ๐Ÿ’ธ Scrape InfoJobs Spain job listings from www.infojobs.net by keyword. Export hiring data with salary, experience, company, location, dates, and job URLs for recruiting and market research. - **URL**: https://apify.com/igolaizola/infojobs-scraper.md - **Developed by:** [Iรฑigo Garcia Olaizola](https://apify.com/igolaizola) (community) - **Categories:** Jobs, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.70 / 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. 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.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 Spain Scraper - Job Listings, Salaries & Hiring Data Extract public job offers from InfoJobs Spain for recruiting, market research, and hiring intelligence. Search by role, skill, company, or keyword and download structured hiring data from the Spanish InfoJobs marketplace. ### What Does InfoJobs Spain Scraper Do? InfoJobs Spain Scraper collects public job listings from InfoJobs Spain and exports the available job records. - Search InfoJobs Spain by job title, skill, company, or keyword. - Filter results using InfoJobs Spain search options. - Export results as JSON, CSV, Excel, Parquet, or other Apify dataset formats. Great for recruiters, talent intelligence teams, job boards, sales teams, salary research, and labor-market monitoring. SEO keywords: InfoJobs scraper, InfoJobs Spain scraper, scrape InfoJobs jobs, InfoJobs job listings, Spain jobs data, Apify actor. ### How To Use It 1. Open **InfoJobs Spain Scraper** in Apify Store. 2. Enter `query`, such as `software engineer`, `desarrollador backend`, or `data analyst`. 3. Set `maxItems` and run the actor. 4. Download results from the **Dataset** tab. ### Input Parameters | Parameter | Type | Required | Description | | --- | --- | --- | --- | | `query` | String | Yes | Job title, skill, company, or keyword to search for. | | `maxItems` | Integer | Yes | Maximum number of jobs to return. Use `0` for unlimited. Default `50`, minimum `0`, maximum `1000` in the Apify input UI. | | `sortBy` | String | No | Native InfoJobs sorting: relevance or most recent. | | `sinceDate` | String | No | Native date filter: last 24 hours, last 7 days, or last 15 days. | | `province` | String | No | Spanish province dropdown. | | `city` | String | No | Optional city name, for example `Ciudad Real`. | | `teleworking`, `contractTypes`, `workDays` | Array | No | Filter by remote work, contract type, and work schedule. | | `categories`, `studies`, `experienceMin` | Array | No | Filter by job category, education level, and minimum experience. | | `salaryMin`, `salaryPeriod` | Integer / String | No | Minimum salary and salary period. | ### Example Input ```json { "query": "software engineer", "maxItems": 50, "sortBy": "recent", "sinceDate": "last-7-days", "province": "madrid", "city": "Madrid", "categories": ["it-telecom"], "contractTypes": ["permanent"], "teleworking": ["remote-only"], "salaryMin": 30000, "salaryPeriod": "year" } ```` ### Output / Results The actor saves raw job records from InfoJobs Spain. Records can include fields such as: - `id`, `title`, `city`, `province`, `link` - `author`, `category`, `subcategory` - `contractType`, `workDay`, `teleworking` - `salaryDescription`, `experienceMin`, `study` - `published`, `applications`, `urgent`, `requirementMin` Example output: ```json { "id": "0ddb97717d416b999303b195f809a0", "title": "Engineer Manager Software (Barcelona)", "city": "L'Hospitalet de Llobregat", "province": { "id": 9, "value": "Barcelona" }, "link": "https://www.infojobs.net/l-hospitalet-de-llobregat/engineer-manager-software-barcelona/of-i0ddb97717d416b999303b195f809a0", "contractType": { "id": 1, "value": "Indefinido" }, "teleworking": { "id": 2, "value": "Hรญbrido" }, "salaryDescription": "Salario no disponible", "published": "2026-06-03T06:52:40.000Z", "author": { "name": "ENTELGY - Catalunya" } } ``` ### Tips - Use Spanish-language queries for broader coverage, for example `desarrollador backend` or `comercial`. - Use normal city names in `city`, including accented names and common bilingual capital names. - Include important terms directly in `query`, such as a company or skill, when they are not covered by a dedicated filter. - Schedule recurring runs to monitor newly published offers over time. ### Legal And Ethical Considerations - Review and follow InfoJobs terms and applicable laws before using scraped data. - Do not use results for spam, discrimination, or unauthorized profiling. - Treat job and company data responsibly, especially if combining it with personal data. - Keep request volumes reasonable and use the data for legitimate business, research, or recruiting workflows. - This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by InfoJobs. All trademarks are the property of their respective owners. ### Support Need a custom field or export? Open an issue or contact the developer at https://igolaizola.com/#contact or https://t.me/igolaizola # Actor input Schema ## `query` (type: `string`): The job title, skill, company, or keyword to search for. ## `maxItems` (type: `integer`): How many jobs do you want to fetch? Use 0 for unlimited. ## `sortBy` (type: `string`): Choose how to sort the results. ## `sinceDate` (type: `string`): Filter by when the job was published or updated. ## `province` (type: `string`): Spanish province filter. Values are sent directly to InfoJobs as verified province slugs. ## `city` (type: `string`): City name to filter by, for example Ciudad Real. ## `radius` (type: `integer`): InfoJobs radius value for location searches. Leave 0 to omit it. ## `teleworking` (type: `array`): Filter by on-site, remote, hybrid, or unspecified work mode. ## `contractTypes` (type: `array`): Filter by contract type. ## `workDays` (type: `array`): Filter by work schedule. ## `categories` (type: `array`): Filter by job category. ## `studies` (type: `array`): Filter by minimum education level. ## `experienceMin` (type: `array`): Filter by minimum years of experience. ## `salaryMin` (type: `integer`): Minimum salary amount to send to InfoJobs. Leave 0 to omit it. ## `salaryPeriod` (type: `string`): Salary period used when minimum salary is set. ## Actor input object example ```json { "query": "ingeniero", "maxItems": 50, "sortBy": "relevance", "sinceDate": "", "province": "", "city": "", "radius": 0, "teleworking": [], "contractTypes": [], "workDays": [], "categories": [], "studies": [], "experienceMin": [], "salaryMin": 0, "salaryPeriod": "year" } ``` # 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 = { "query": "ingeniero" }; // Run the Actor and wait for it to finish const run = await client.actor("igolaizola/infojobs-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "query": "ingeniero" } # Run the Actor and wait for it to finish run = client.actor("igolaizola/infojobs-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "query": "ingeniero" }' | apify call igolaizola/infojobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=igolaizola/infojobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Infojobs Spain Scraper ($0.9 per 1000 results)", "description": "$0.9/1K ๐Ÿ’ธ Scrape InfoJobs Spain job listings from www.infojobs.net by keyword. Export hiring data with salary, experience, company, location, dates, and job URLs for recruiting and market research.", "version": "0.0", "x-build-id": "1gdy3ge8zCqWRGrZj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/igolaizola~infojobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-igolaizola-infojobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/igolaizola~infojobs-scraper/runs": { "post": { "operationId": "runs-sync-igolaizola-infojobs-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/igolaizola~infojobs-scraper/run-sync": { "post": { "operationId": "run-sync-igolaizola-infojobs-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": [ "query", "maxItems" ], "properties": { "query": { "title": "Query", "type": "string", "description": "The job title, skill, company, or keyword to search for.", "default": "" }, "maxItems": { "title": "Max items", "minimum": 0, "maximum": 1000, "type": "integer", "description": "How many jobs do you want to fetch? Use 0 for unlimited.", "default": 50 }, "sortBy": { "title": "Sort by", "enum": [ "relevance", "recent" ], "type": "string", "description": "Choose how to sort the results.", "default": "relevance" }, "sinceDate": { "title": "Publication date", "enum": [ "", "last-24-hours", "last-7-days", "last-15-days" ], "type": "string", "description": "Filter by when the job was published or updated.", "default": "" }, "province": { "title": "Province", "enum": [ "", "a-coruna", "alava-araba", "albacete", "alicante-alacant", "almeria", "asturias", "avila", "badajoz", "barcelona", "burgos", "caceres", "cadiz", "cantabria", "castellon-castello", "ceuta", "ciudad-real", "cordoba", "cuenca", "girona", "granada", "guadalajara", "guipuzcoa-gipuzkoa", "huelva", "huesca", "illes-balears", "jaen", "la-rioja", "las-palmas", "leon", "lleida", "lugo", "madrid", "malaga", "melilla", "murcia", "navarra", "ourense", "palencia", "pontevedra", "salamanca", "santa-cruz-de-tenerife", "segovia", "sevilla", "soria", "tarragona", "teruel", "toledo", "valencia-valencia", "valladolid", "vizcaya-bizkaia", "zamora", "zaragoza" ], "type": "string", "description": "Spanish province filter. Values are sent directly to InfoJobs as verified province slugs.", "default": "" }, "city": { "title": "City", "type": "string", "description": "City name to filter by, for example Ciudad Real.", "default": "" }, "radius": { "title": "Radius", "minimum": 0, "type": "integer", "description": "InfoJobs radius value for location searches. Leave 0 to omit it.", "default": 0 }, "teleworking": { "title": "Remote work", "type": "array", "description": "Filter by on-site, remote, hybrid, or unspecified work mode.", "items": { "type": "string", "enum": [ "remote-only" ], "enumTitles": [ "Only remote" ] }, "default": [] }, "contractTypes": { "title": "Contract types", "type": "array", "description": "Filter by contract type.", "items": { "type": "string", "enum": [ "permanent", "fixed-term", "other", "freelance", "discontinuous", "part-time" ], "enumTitles": [ "Permanent", "Fixed-term", "Other contracts", "Freelance", "Discontinuous permanent", "Part-time" ] }, "default": [] }, "workDays": { "title": "Work schedule", "type": "array", "description": "Filter by work schedule.", "items": { "type": "string", "enum": [ "full-time", "indifferent" ], "enumTitles": [ "Full-time", "Indifferent" ] }, "default": [] }, "categories": { "title": "Categories", "type": "array", "description": "Filter by job category.", "items": { "type": "string", "enum": [ "business-administration", "production-quality-rd", "sales", "purchasing-logistics", "education-training", "finance-banking", "it-telecom", "engineering-technical", "real-estate-construction", "legal", "marketing-communication", "other", "trades-arts-crafts", "human-resources", "healthcare", "tourism-hospitality", "retail" ], "enumTitles": [ "Business administration", "Quality, production and R&D", "Sales", "Purchasing, logistics and warehouse", "Education and training", "Finance and banking", "IT and telecommunications", "Engineering and technical", "Real estate and construction", "Legal", "Marketing and communication", "Other", "Trades, arts and crafts", "Human resources", "Healthcare", "Tourism and hospitality", "Retail" ] }, "default": [] }, "studies": { "title": "Minimum studies", "type": "array", "description": "Filter by minimum education level.", "items": { "type": "string", "enum": [ "bachillerato", "medium-vocational-cycle", "higher-vocational-cycle", "secondary-education", "fp-medium", "fp-higher", "degree", "master", "no-studies" ], "enumTitles": [ "Bachillerato", "Vocational training, medium cycle", "Vocational training, higher cycle", "Secondary education", "FP medium", "FP higher", "Degree", "Master", "No studies" ] }, "default": [] }, "experienceMin": { "title": "Minimum experience", "type": "array", "description": "Filter by minimum years of experience.", "items": { "type": "string", "enum": [ "1-year", "2-years", "3-years", "4-years" ], "enumTitles": [ "At least 1 year", "At least 2 years", "At least 3 years", "At least 4 years" ] }, "default": [] }, "salaryMin": { "title": "Minimum salary", "minimum": 0, "type": "integer", "description": "Minimum salary amount to send to InfoJobs. Leave 0 to omit it.", "default": 0 }, "salaryPeriod": { "title": "Salary period", "enum": [ "year", "month", "hour" ], "type": "string", "description": "Salary period used when minimum salary is set.", "default": "year" } } }, "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 } } } } } } } } } } ```