Catho Scraper

hipersoft/catho-scraper

Scrape Brazilian job vacancies from Catho (catho.com.br): title, company, city, state, openings, salary text and range, contract type (CLT, PJ…), full description, posting date and link. Search any job title in any Brazilian city. Export CSV/JSON.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per job

$0.0015

Last rebuilt

Oct 26, 2026

Overview

Catho Scraper extracts job vacancies (vagas de emprego) from Catho (catho.com.br), one of Brazil's largest job boards. Every vacancy includes the job title, company, city, state, number of openings, salary as shown and salary range, contract type (CLT/efetivo, PJ, temporário, estágio…), full job description, posting date, postal code and link, plus sponsored and active-recruiter flags. Search any job title in any Brazilian city, and export to CSV, Excel or JSON.

What does Catho Scraper do?

🇧🇷 Search any profession: analista financeiro, vendedor, enfermeiro, motorista, desenvolvedor, auxiliar administrativo…
📍 Filter by city: São Paulo, Rio de Janeiro, Belo Horizonte, Curitiba, Porto Alegre, Recife… or all of Brazil.
💰 Salaries: salary as displayed plus the numeric salary range (min/max per month) when available.
📄 Contract type: CLT (efetivo), PJ, temporário, estágio and more.
📝 Full job description with activities and requirements.
🏢 Company name, number of openings, posting date and postal code.
⭐ Sponsored and active recruiter flags.

What data can you scrape from Catho?

Field	Description
Job ID, title, link	Catho vacancy
Company	Hiring company
Location	City, state, postal code
Openings	Number of positions
Salary	Displayed salary, min/max, unit, currency
Contract type	CLT, PJ, temporário, estágio…
Description	Full vacancy description
Posted	Posting date and label
Flags	Sponsored, active recruiter

Use cases for Brazilian job data

Recruiters and staffing agencies (recrutamento e seleção): find companies hiring by role and city.
Salary research: benchmark published salary ranges across Brazil.
B2B prospecting: hiring companies are growing companies and good leads for HR and benefits services.
Job aggregators and WhatsApp/Telegram groups: publish fresh vagas automatically.
Labour-market analytics: track demand by profession, state and contract type.

How to scrape Catho

Click Try for free to open Catho Scraper in Apify Console.
Enter job titles and optionally cities (with state code).
Keep Include full details on for descriptions and salary ranges.
Set Max jobs and click Start.
Download the vacancies as CSV, Excel or JSON.

Input

Example input

{
  "keywords": ["analista financeiro", "vendedor"],
  "locations": ["São Paulo SP", "Campinas SP"],
  "includeDetails": true,
  "maxItems": 500
}

Field	Description
Job titles	Professions in Portuguese, one search each.
Cities	Brazilian cities with state code. Empty = all of Brazil.
Include full details	Description, contract type, salary range, date.
Catho search links	Search-results links. Override job titles.
Max jobs	Stop after this many (0 = no limit).

Output

Vacancy example

{
  "jobId": "38700995",
  "title": "Assistente Financeiro",
  "url": "https://www.catho.com.br/vagas/assistente-financeiro/38700995/",
  "company": "KAED CONTABILIDADE",
  "openings": 1,
  "location": "São Paulo",
  "salaryText": "R$ 3.500",
  "published": "Publicada Ontem",
  "sponsored": true,
  "activeRecruiter": false,
  "description": "Descrição das Atividades:\nContas à receber, emissão de boletos, envio de arquivo remessa para os bancos, emissão de notas fiscais, conciliação bancária…",
  "datePosted": "2026-10-05T23:59:59Z",
  "contractType": "CLT (Efetivo)",
  "salaryMin": 3001,
  "salaryMax": 4000,
  "salaryUnit": "MONTH",
  "currency": "BRL",
  "postalCode": "03086-050",
  "state": "SP"
}

Output schema

Field	Type	Description
`jobId`, `title`, `url`	string	Vacancy.
`company`	string	Hiring company.
`openings`	number	Number of positions.
`location`, `state`, `street`, `postalCode`	string	Location.
`salaryText`	string	Salary as displayed.
`salaryMin`, `salaryMax`, `salaryUnit`, `currency`	mixed	Salary range.
`contractType`	string	Contract type.
`description`	string	Full description.
`published`, `datePosted`, `validThrough`	string	Dates.
`sponsored`, `activeRecruiter`	boolean	Flags.
`search`, `scrapedAt`	string	Source info.

How much does it cost to scrape Catho?

Catho Scraper uses pay-per-job pricing: a small fixed price per vacancy, with automatic discounts on higher Apify plans. See the Pricing tab for the exact price.

More Brazilian data

Gupy Jobs Scraper: jobs from Gupy career pages across Brazil.
Brazil CNPJ Scraper: Brazilian company registry data.

FAQ

How do I search a specific city? Add the city with its state code, e.g. "São Paulo SP" or "Belo Horizonte MG".

Does every vacancy show a salary? Many do. When the company hides it, salary fields are empty or show "A combinar".

How fresh is the data? Every run reads the live job board; datePosted shows when each vacancy was published.

What formats can I export? CSV, Excel, JSON, XML, HTML and RSS, or read the results through the Apify API.

Can I integrate Catho Scraper with other apps? Catho Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JS/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Is it legal to scrape Catho? The scraper only collects publicly listed job vacancies. You are responsible for using the data in line with Catho's terms and the LGPD.

Notes

Original clean-room implementation. Returns only public data. Not affiliated with Catho.

Input

Field	Type	Description
`keywords` Job titles	array	Job titles or professions in Portuguese, e.g. analista financeiro, vendedor, enfermeiro, motorista, desenvolvedor. Each title is a separate search.
`locations` Cities	array	Brazilian cities with state code, e.g. São Paulo SP, Rio de Janeiro RJ, Belo Horizonte MG, Curitiba PR. Each title is searched in each city. Leave empty for all of Brazil.
`includeDetails` Include full details	boolean	Open each vacancy to add the full description, contract type, salary range, posting date and postal code. Default: `true`
`startUrls` Catho search links	array	Optional. Paste Catho search-results links. When set, job titles are ignored.
`maxItems` Max jobs	integer	Stop after this many jobs. 0 means no limit. Default: `200`
`proxyConfiguration` Proxy configuration	object	Not required for normal use. Default: `{"useApifyProxy": false}`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~catho-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "keywords": [
    "analista financeiro"
  ],
  "locations": [
    "São Paulo SP"
  ],
  "maxItems": 50
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/catho-scraper").call(run_input={
    "keywords": [
        "analista financeiro"
    ],
    "locations": [
        "São Paulo SP"
    ],
    "maxItems": 50
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/catho-scraper').call({
  "keywords": [
    "analista financeiro"
  ],
  "locations": [
    "São Paulo SP"
  ],
  "maxItems": 50
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Job One Catho vacancy	$0.0015	$0.0008

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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