# Infojobs Brazil Scraper ($0.9 per 1000 results) (`igolaizola/infojobs-brazil-scraper`) Actor $0.9/1K 💸 Scrape InfoJobs Brazil job listings from www.infojobs.com.br by keyword. Export Brazilian hiring data with salary, experience, company, location, dates, and job URLs for recruiting and market research. - **URL**: https://apify.com/igolaizola/infojobs-brazil-scraper.md - **Developed by:** [Iñigo 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 Brazil Scraper - Job Listings, Salaries & Hiring Data Extract public job offers from InfoJobs Brazil for recruiting, market research, and hiring intelligence. Search by role, skill, company, location, or keyword and download structured hiring data from the Brazilian InfoJobs marketplace. ### What Does InfoJobs Brazil Scraper Do? InfoJobs Brazil Scraper collects public job listings from InfoJobs Brazil and exports the available job records. - Search InfoJobs Brazil by job title, skill, company, location, or keyword. - Narrow searches by Brazilian state, category, contract type, seniority, publication date, salary, work method, and working hours. - Filter results using InfoJobs Brazil 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 in Brazil. SEO keywords: InfoJobs Brazil scraper, InfoJobs Brasil scraper, scrape InfoJobs Brazil jobs, InfoJobs Brazil job listings, Brazil jobs data, Apify actor. ### How To Use It 1. Open **InfoJobs Brazil Scraper** in Apify Store. 2. Enter `query`, such as `desenvolvedor`, `analista de dados`, or `São Paulo vendas`. 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, location, 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 Brazil sorting: relevance, recent, or nearby. | | `states` | Array | No | Filter by Brazilian state, such as São Paulo, Rio de Janeiro, Minas Gerais, or Paraná. | | `categories` | Array | No | Filter by job category, such as Informática, TI, Telecomunicações, Administração, Comercial, Vendas, or Marketing. | | `contractTypes` | Array | No | Filter by contract type, such as Efetivo - CLT, Prestador de Serviços (PJ), Estágio, Temporário, or Trainee. | | `managerialLevels` | Array | No | Filter by seniority level, such as Estagiário, Analista, Especialista, Coordenador, Gerente, or Diretor. | | `publicationDate` | String | No | Filter by publication/update date: today, last 3 days, last week, last 15 days, or last month. | | `salaryMins` | Array | No | Filter by listed monthly salary starting at R$1,000 through R$10,000. | | `workMethods` | Array | No | Filter by work method: Presencial, Home office, or Híbrido. | | `workingHours` | Array | No | Filter by working schedule: Período Integral, Parcial manhãs, Parcial tardes, Parcial noites, or Noturno. | ### Example Input ```json { "query": "desenvolvedor", "maxItems": 50, "sortBy": "recent", "states": ["sao-paulo"], "categories": ["informatica-ti-telecomunicacoes"], "contractTypes": ["clt", "pj"], "publicationDate": "last-week", "workMethods": ["remote", "hybrid"] } ```` ### Output / Results The actor saves raw job records from InfoJobs Brazil. Records can include fields such as: - `idVacancy`, `title`, `description`, `url` - `company`, `location3`, `salary` - `workMethod`, `experienceRange`, `study1Min` - `publishedDate`, `insertDate`, `homeOffice`, `urgentHiring` - `idCompany`, `latitude`, `longitude`, `evaluationsAvg` Example output: ```json { "idVacancy": "D34F6F5646430C5C30E12FCAEE44BC97", "title": "Desenvolvedor Pleno", "company": "TSEA energy", "location3": "Contagem, MG", "salary": "A combinar", "workMethod": "Presencial", "url": "https://www.infojobs.com.br/...", "homeOffice": false } ``` ### Tips - Use Portuguese-language queries for broader coverage, for example `desenvolvedor full stack` or `analista financeiro`. - Use the dedicated filters for state, work method, contract, category, salary, schedule, and publication date instead of adding those terms to `query`. - Include city, company, and skill terms directly in `query` 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, location, 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. ## `states` (type: `array`): Filter by Brazilian state. ## `categories` (type: `array`): Filter by job category. ## `contractTypes` (type: `array`): Filter by contract type. ## `managerialLevels` (type: `array`): Filter by seniority level. ## `publicationDate` (type: `string`): Filter by when the job was published or updated. ## `salaryMins` (type: `array`): Filter by listed monthly salary starting at the selected amount. ## `workMethods` (type: `array`): Filter by work method. ## `workingHours` (type: `array`): Filter by working schedule. ## Actor input object example ```json { "query": "desenvolvedor", "maxItems": 50, "sortBy": "relevance", "states": [], "categories": [], "contractTypes": [], "managerialLevels": [], "publicationDate": "", "salaryMins": [], "workMethods": [], "workingHours": [] } ``` # 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": "desenvolvedor" }; // Run the Actor and wait for it to finish const run = await client.actor("igolaizola/infojobs-brazil-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 = { "query": "desenvolvedor" } # Run the Actor and wait for it to finish run = client.actor("igolaizola/infojobs-brazil-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 '{ "query": "desenvolvedor" }' | apify call igolaizola/infojobs-brazil-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=igolaizola/infojobs-brazil-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Infojobs Brazil Scraper ($0.9 per 1000 results)", "description": "$0.9/1K 💸 Scrape InfoJobs Brazil job listings from www.infojobs.com.br by keyword. Export Brazilian hiring data with salary, experience, company, location, dates, and job URLs for recruiting and market research.", "version": "0.0", "x-build-id": "OhnRvWV0y67ldoKmr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/igolaizola~infojobs-brazil-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-igolaizola-infojobs-brazil-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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-brazil-scraper/runs": { "post": { "operationId": "runs-sync-igolaizola-infojobs-brazil-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-brazil-scraper/run-sync": { "post": { "operationId": "run-sync-igolaizola-infojobs-brazil-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, location, 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", "distance" ], "type": "string", "description": "Choose how to sort the results.", "default": "relevance" }, "states": { "title": "States", "type": "array", "description": "Filter by Brazilian state.", "items": { "type": "string", "enum": [ "acre", "alagoas", "amapa", "amazonas", "bahia", "ceara", "distrito-federal", "espirito-santo", "goias", "maranhao", "mato-grosso", "mato-grosso-do-sul", "minas-gerais", "para", "paraiba", "parana", "pernambuco", "piaui", "rio-de-janeiro", "rio-grande-do-norte", "rio-grande-do-sul", "rondonia", "roraima", "santa-catarina", "sao-paulo", "sergipe", "tocantins" ], "enumTitles": [ "Acre", "Alagoas", "Amapá", "Amazonas", "Bahia", "Ceará", "Distrito Federal", "Espírito Santo", "Goiás", "Maranhão", "Mato Grosso", "Mato Grosso do Sul", "Minas Gerais", "Pará", "Paraíba", "Paraná", "Pernambuco", "Piauí", "Rio de Janeiro", "Rio Grande do Norte", "Rio Grande do Sul", "Rondônia", "Roraima", "Santa Catarina", "São Paulo", "Sergipe", "Tocantins" ] }, "default": [] }, "categories": { "title": "Categories", "type": "array", "description": "Filter by job category.", "items": { "type": "string", "enum": [ "administracao", "agricultura-pecuaria-veterinaria", "alimentacao-gastronomia", "arquitetura-decoracao-design", "artes", "auditoria", "ciencias-pesquisa", "comercial-vendas", "comercio-exterior", "compras", "comunicacao-tv-cinema", "construcao-manutencao", "contabil-financas-economia", "cultura-lazer-entretenimento", "educacao-ensino-idiomas", "engenharia", "estetica", "hotelaria-turismo", "industrial-producao-fabrica", "informatica-ti-telecomunicacoes", "juridica", "logistica", "marketing", "meio-ambiente-ecologia", "moda", "qualidade", "quimica-petroquimica", "recursos-humanos", "saude", "seguranca", "servico-social-comunitario", "servicos-gerais", "telemarketing", "transportes" ], "enumTitles": [ "Administração", "Agricultura, Pecuária, Veterinária", "Alimentação / Gastronomia", "Arquitetura, Decoração, Design", "Artes", "Auditoria", "Ciências, Pesquisa", "Comercial, Vendas", "Comércio Exterior, Importação, Exportação", "Compras", "Comunicação, TV, Cinema", "Construção, Manutenção", "Contábil, Finanças, Economia", "Cultura, Lazer, Entretenimento", "Educação, Ensino, Idiomas", "Engenharia", "Estética", "Hotelaria, Turismo", "Industrial, Produção, Fábrica", "Informática, TI, Telecomunicações", "Jurídica", "Logística", "Marketing", "Meio Ambiente, Ecologia", "Moda", "Qualidade", "Química, Petroquímica", "Recursos Humanos", "Saúde", "Segurança", "Serviço Social e Comunitário", "Serviços Gerais", "Telemarketing", "Transportes" ] }, "default": [] }, "contractTypes": { "title": "Contract types", "type": "array", "description": "Filter by contract type.", "items": { "type": "string", "enum": [ "clt", "autonomo", "pj", "cooperado", "jovem-aprendiz", "estagio", "temporario", "trainee", "outros" ], "enumTitles": [ "Efetivo - CLT", "Autônomo", "Prestador de Serviços (PJ)", "Cooperado", "Jovem Aprendiz", "Estágio", "Temporário", "Trainee", "Outros" ] }, "default": [] }, "managerialLevels": { "title": "Seniority levels", "type": "array", "description": "Filter by seniority level.", "items": { "type": "string", "enum": [ "estagiario", "operacional", "auxiliar", "assistente", "trainee", "tecnico", "analista", "encarregado", "supervisor", "consultor", "especialista", "coordenador", "gerente", "diretor" ], "enumTitles": [ "Estagiário", "Operacional", "Auxiliar", "Assistente", "Trainee", "Técnico", "Analista", "Encarregado", "Supervisor", "Consultor", "Especialista", "Coordenador", "Gerente", "Diretor" ] }, "default": [] }, "publicationDate": { "title": "Publication date", "enum": [ "", "today", "last-3-days", "last-week", "last-15-days", "last-month" ], "type": "string", "description": "Filter by when the job was published or updated.", "default": "" }, "salaryMins": { "title": "Minimum salary", "type": "array", "description": "Filter by listed monthly salary starting at the selected amount.", "items": { "type": "string", "enum": [ "1000", "2000", "3000", "4000", "5000", "6000", "7000", "8000", "9000", "10000" ], "enumTitles": [ "From R$1,000", "From R$2,000", "From R$3,000", "From R$4,000", "From R$5,000", "From R$6,000", "From R$7,000", "From R$8,000", "From R$9,000", "From R$10,000" ] }, "default": [] }, "workMethods": { "title": "Work method", "type": "array", "description": "Filter by work method.", "items": { "type": "string", "enum": [ "onsite", "remote", "hybrid" ], "enumTitles": [ "Presencial", "Home office", "Híbrido" ] }, "default": [] }, "workingHours": { "title": "Working hours", "type": "array", "description": "Filter by working schedule.", "items": { "type": "string", "enum": [ "full-time", "part-time-morning", "part-time-afternoon", "part-time-night", "night" ], "enumTitles": [ "Período Integral", "Parcial manhãs", "Parcial tardes", "Parcial noites", "Noturno" ] }, "default": [] } } }, "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 } } } } } } } } } } ```