# Catho Jobs Scraper (`gio21/catho-jobs-scraper`) Actor Scrape vagas de emprego do Catho.com.br com salário, empresa, benefícios, tipo de contrato e descrição completa. O maior job board pago do Brasil agora acessível via API. Ideal para benchmark salarial, análise de mercado e agregadores de vagas. - **URL**: https://apify.com/gio21/catho-jobs-scraper.md - **Developed by:** [Gio](https://apify.com/gio21) (community) - **Categories:** Jobs, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 job listings 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 ## Catho Jobs Scraper 🇧🇷 Scrape vagas de emprego do **Catho.com.br** — o maior job board pago do Brasil — com salário, empresa, benefícios, tipo de contrato e descrição completa. ### 🚀 O que você obtém - **Título** da vaga e **ID** único - **Empresa** (quando não confidencial) - **Localização** (cidade, estado, UF) - **Faixa salarial** (ex: "De R$ 3.001,00 a R$ 4.000,00" ou "A combinar") - **Tipo de contrato** (CLT, PJ, Estágio, Temporário) - **Horário de trabalho** - **Benefícios** (lista completa: vale-refeição, plano de saúde, etc.) - **Descrição completa** da vaga - **Data de publicação** e última atualização - **Número de vagas** disponíveis - **URL direta** para a vaga ### 📥 Inputs | Campo | Obrigatório | Descrição | Exemplo | |-------|-------------|-----------|---------| | `keyword` | ✅ | Cargo ou área | `analista de marketing` | | `location` | ❌ | Cidade/estado slug | `sao-paulo-sp` | | `maxItems` | ❌ | Limite de vagas (default: 50) | `100` | #### Formatos de localização aceitos - `sao-paulo-sp` (São Paulo capital) - `rio-de-janeiro-rj` - `belo-horizonte-mg` - `curitiba-pr` - Deixe vazio para busca nacional ### 📤 Exemplo de Output ```json { "jobId": 31493272, "title": "Analista de Marketing Pleno", "company": "Empresa XYZ", "confidential": false, "city": "São Paulo", "state": "São Paulo", "uf": "SP", "salaryRange": "De R$ 4.001,00 a R$ 6.000,00", "contractType": "CLT (Efetivo)", "workSchedule": "Segunda a Sexta das 9h às 18h", "benefits": ["Vale-refeição", "Vale-transporte", "Plano de saúde"], "description": "Responsável pela gestão de campanhas digitais, análise de métricas...", "postedAt": "2026-03-28T23:59:59Z", "updatedAt": "2026-03-28T10:30:00Z", "openPositions": 1, "url": "https://www.catho.com.br/vagas/vaga/31493272/" } ```` ### 💰 Preço **$0.99 por 1.000 vagas** — o mais barato do mercado para dados do Catho. ### 💡 Casos de Uso - **Benchmark salarial** por cargo e região - **Pesquisa de mercado de trabalho** no Brasil - **Análise de demanda** por perfil profissional - **Monitoramento de concorrência** em contratações - **Ferramentas de agregação** de vagas - **Projetos de data science** sobre emprego BR ### ⚙️ Como Funciona O actor usa `puppeteer-real-browser` para contornar proteções Akamai do Catho, combinado com CDP intercept para capturar respostas da API interna antes mesmo de renderizar na página. Proxy residencial BR disponível para maior confiabilidade. ### 🔗 Outros Scrapers BR - [OLX Brasil Imóveis](https://apify.com/israeloriente/olx-brasil-imoveis-scraper) - [Mercado Livre BR](https://apify.com/karamelo/mercadolivre-scraper-brasil-portugues) - [QuintoAndar](https://apify.com/giopasquale21/quintoandar-scraper) # Actor input Schema ## `keyword` (type: `string`): Cargo ou área de interesse (ex: 'analista de marketing', 'desenvolvedor', 'vendedor') ## `location` (type: `string`): Cidade ou estado (ex: 'sao-paulo-sp', 'rio-de-janeiro-rj', 'belo-horizonte-mg'). Deixe vazio para todas as cidades. ## `maxItems` (type: `integer`): Número máximo de vagas a extrair ## Actor input object example ```json { "keyword": "analista", "location": "sao-paulo-sp", "maxItems": 20 } ``` # Actor output Schema ## `overview` (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 = { "keyword": "analista", "location": "sao-paulo-sp", "maxItems": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("gio21/catho-jobs-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 = { "keyword": "analista", "location": "sao-paulo-sp", "maxItems": 20, } # Run the Actor and wait for it to finish run = client.actor("gio21/catho-jobs-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 '{ "keyword": "analista", "location": "sao-paulo-sp", "maxItems": 20 }' | apify call gio21/catho-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gio21/catho-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Catho Jobs Scraper", "description": "Scrape vagas de emprego do Catho.com.br com salário, empresa, benefícios, tipo de contrato e descrição completa. O maior job board pago do Brasil agora acessível via API. Ideal para benchmark salarial, análise de mercado e agregadores de vagas.", "version": "0.0", "x-build-id": "jl1Vu5aQpndRtHYMX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gio21~catho-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gio21-catho-jobs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gio21~catho-jobs-scraper/runs": { "post": { "operationId": "runs-sync-gio21-catho-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gio21~catho-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-gio21-catho-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keyword" ], "properties": { "keyword": { "title": "Keyword (cargo ou área)", "type": "string", "description": "Cargo ou área de interesse (ex: 'analista de marketing', 'desenvolvedor', 'vendedor')" }, "location": { "title": "Localização (opcional)", "type": "string", "description": "Cidade ou estado (ex: 'sao-paulo-sp', 'rio-de-janeiro-rj', 'belo-horizonte-mg'). Deixe vazio para todas as cidades." }, "maxItems": { "title": "Máximo de vagas", "type": "integer", "description": "Número máximo de vagas a extrair", "default": 50 } } }, "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 } } } } } } } } } } ```