# Catho.com.br Jobs Scraper - Baixo custo Low-costπŸ’²πŸ”΄πŸ’ΌπŸ‡§πŸ‡· (`delectable_incubator/catho-com-br-jobs-scraper---baixo-custo-low-cost`) Actor Scrape Catho.com.br job listings πŸ‡§πŸ‡·πŸ’Ό with a powerful Brazil job scraper. Extract job titles, companies, locations, salaries, vacancies, and update dates. Ideal for job aggregation platforms, recruitment insights, and Brazilian job market analysis with structured datasets πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/catho-com-br-jobs-scraper---baixo-custo-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Jobs, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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

Catho Jobs Scraper

--- ### Catho.com.br Jobs Scraper πŸ’ΌπŸ‡§πŸ‡·πŸ“Š The Catho Jobs Scraper is a powerful and scalable Apify Actor designed to extract structured job listings directly from Catho.com.br search result pages. It enables Brazilian job market analysis, recruitment intelligence, salary insights, and structured dataset creation. --- ### 🎯 What This Scraper Does Simply provide a Catho search URL and the scraper handles everything automatically. βœ… Extracts job listings from Catho.com.br βœ… Works directly with Catho search result URLs βœ… Handles pagination automatically βœ… Applies maxitems limits βœ… Collects salaries, vacancies, and job metadata βœ… Outputs clean, ready-to-use datasets --- ### πŸ“Š Data Extracted πŸ’Ό Job Listing Information | Field | Description | | ---------------- | ---------------------------- | | πŸ†” jobId | Unique job identifier | | πŸ“ jobTitle | Job title | | 🏒 companyName | Employer / company name | | πŸ“ location | Job location | | πŸ’° salary | Salary information | | πŸ‘₯ vacancies | Number of open positions | | πŸ•’ updatedDate | Last update date | | πŸ“ jobDescription| Full job description | | πŸ”— jobUrl | Direct job listing URL | --- ### πŸ›  How to Use 1️⃣ Configure Input Provide a Catho search URL and parameters: ```` { "target\_url": "https://www.catho.com.br/vagas/data/sao-paulo-sp/ ", "max\_items": 50 } ``` 2️⃣ Run the Actor β€’ Load Catho search result pages β€’ Extract job listings β€’ Handle pagination automatically β€’ Collect job & salary data β€’ Build dataset 3️⃣ Export the Dataset Download your results in multiple formats: βœ… JSON βœ… CSV βœ… Excel βœ… XML βœ… HTML --- ### βš™οΈ Input Configuration #### πŸ“₯ Input Example ``` { "target\_url": "https://www.catho.com.br/vagas/data/sao-paulo-sp/ ", "max\_items": 50 } ``` #### Input Fields | Field | Type | Description | | ------------ | ------- | -------------------------------- | | `target_url` | string | Catho search results URL | | `max_items` | integer | Max number of jobs to extract | --- ### πŸ“€ Output Example ``` { "jobId": "CA987654", "jobTitle": "Analista de Dados", "companyName": "Empresa XYZ", "location": "SΓ£o Paulo - SP", "salary": "R$ 6.000 – R$ 8.000", "vacancies": "2", "updatedDate": "Atualizada hΓ‘ 3 dias", "jobDescription": "ResponsΓ‘vel por anΓ‘lise de dados...", "jobUrl": "https://www.catho.com.br/vagas/ ..." } ```` --- ### πŸ“Š Use cases πŸ’Ό Brazilian Job Market Analysis 🎯 Recruitment & Talent Sourcing πŸ’° Salary Benchmarking πŸ“Š Data Science & AI Projects πŸ“ˆ Hiring Trend Analysis --- ### 🌍 Why Use This Scraper? πŸš€ Fast and scalable extraction πŸ“Š Structured job datasets πŸ’° Salary and hiring insights πŸ”Ž Direct URL-based scraping πŸ€– Automation-ready --- ### ⚠️ Disclaimer This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by Catho.com.br. --- ### πŸ’Έ Pricing This scraper runs on a **pay per events subscription model**. You only pay for **successful runs**. πŸ’³ **Price:** $1.49 / 1000 results --- ### Related Actors If you're interested in other scraping solutions, explore more tools: (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation Contact for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `target_urls` (type: `array`): List of Catho.com.br search results URLs to scrape (e.g., 'https://www.catho.com.br/vagas/data/sao-paulo-sp/' or 'https://www.catho.com.br/vagas/desenvolvedor/') / Lista de URLs dos resultados de busca do Catho.com.br para raspar (ex: 'https://www.catho.com.br/vagas/data/sao-paulo-sp/' ou 'https://www.catho.com.br/vagas/desenvolvedor/') ## `max_items` (type: `integer`): Limits how many job listings will be scraped from Catho.com.br / Limita quantas vagas serΓ£o raspadas do Catho.com.br ## Actor input object example ```json { "target_urls": [ "https://www.catho.com.br/vagas/data/", "https://www.catho.com.br/vagas/ai/" ], "max_items": 30 } ```` # 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 = { "target_urls": [ "https://www.catho.com.br/vagas/data/", "https://www.catho.com.br/vagas/ai/" ], "max_items": 30 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/catho-com-br-jobs-scraper---baixo-custo-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "target_urls": [ "https://www.catho.com.br/vagas/data/", "https://www.catho.com.br/vagas/ai/", ], "max_items": 30, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/catho-com-br-jobs-scraper---baixo-custo-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "target_urls": [ "https://www.catho.com.br/vagas/data/", "https://www.catho.com.br/vagas/ai/" ], "max_items": 30 }' | apify call delectable_incubator/catho-com-br-jobs-scraper---baixo-custo-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/catho-com-br-jobs-scraper---baixo-custo-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Catho.com.br Jobs Scraper - Baixo custo Low-costπŸ’²πŸ”΄πŸ’ΌπŸ‡§πŸ‡·", "description": "Scrape Catho.com.br job listings πŸ‡§πŸ‡·πŸ’Ό with a powerful Brazil job scraper. \n\nExtract job titles, companies, locations, salaries, vacancies, and update dates. \n\nIdeal for job aggregation platforms, recruitment insights, and Brazilian job market analysis with structured datasets πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "NoKNXYhr5xFQQ2D3f" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~catho-com-br-jobs-scraper---baixo-custo-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-catho-com-br-jobs-scraper---baixo-custo-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~catho-com-br-jobs-scraper---baixo-custo-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-catho-com-br-jobs-scraper---baixo-custo-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~catho-com-br-jobs-scraper---baixo-custo-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-catho-com-br-jobs-scraper---baixo-custo-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "target_urls" ], "properties": { "target_urls": { "title": "Target URL(s) / URL(s) Alvo πŸ”—", "type": "array", "description": "List of Catho.com.br search results URLs to scrape (e.g., 'https://www.catho.com.br/vagas/data/sao-paulo-sp/' or 'https://www.catho.com.br/vagas/desenvolvedor/') / Lista de URLs dos resultados de busca do Catho.com.br para raspar (ex: 'https://www.catho.com.br/vagas/data/sao-paulo-sp/' ou 'https://www.catho.com.br/vagas/desenvolvedor/')", "default": [ "https://www.catho.com.br/vagas/data/", "https://www.catho.com.br/vagas/ai/" ], "items": { "type": "string" } }, "max_items": { "title": "Maximum number of jobs to scrape / NΓΊmero mΓ‘ximo de vagas para raspar πŸ”’", "type": "integer", "description": "Limits how many job listings will be scraped from Catho.com.br / Limita quantas vagas serΓ£o raspadas do Catho.com.br", "default": 30 } } }, "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 } } } } } } } } } } ```