# Catho Scraper (`dadhalfdev/catho-scraper`) Actor

Scrape job listings from catho.com.br. Use the same search filters as the site or paste a URL — the URL wins when set.

- **URL**: https://apify.com/dadhalfdev/catho-scraper.md
- **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Scraper

Want [Catho](https://www.catho.com.br/) job listings in a spreadsheet? This scraper makes it easy.

Use **structured filters** — better for AI agents — **or** paste an **`input_url`**. When `input_url` is set it overrides the filters.

Catho is Brazil’s main job board. Leave Profession empty to page nationwide results (about **1000** jobs). This actor returns up to 2000 rows per run.

### 💡 Perfect for...

- **Recruiting:** Export job titles, companies, cities, and salaries from Catho.
- **Dashboards:** Track new vacancies without paging the site.
- **Market research:** Slice Brazilian jobs by profession, metro, salary, or recency.
- **Data analysts:** Export structured rows with public job URLs.
- **🤖 AI Agents:** Power Claude, Cursor, Codex, the Hermes Agent, and OpenClaw workflows with live Catho results.
- **📚 RAG Systems:** Feed titles, companies, and cities into retrieval pipelines.
- **🔗 AI Workflows:** Plug into LangChain, AutoGPT, CrewAI, and similar stacks.

### ✨ Why you'll love this scraper

- 🔗 **Input URL or Filters:** Paste a Catho jobs URL, or pick the same filters as the site. `input_url` always wins when set.
- 🎯 **Website-Matched Filters:** Profession, metro, salary, published date, and sort.
- 🌐 **Listing cards:** Title, company, city, salary, published label, and job URL.

### 📦 What's inside the data?

`id`, `url`, `title`, `company`, `city`, `salary`, `published`, `profession_slug`

### 🚀 Quick start

**Option A:** paste `https://www.catho.com.br/vagas/desenvolvedor/sao-paulo-sp/`.
**Option B:** type a profession, pick a metro, and set `max_results`.

**Input Example (filters):**

```json
{
  "query": "desenvolvedor",
  "location": "sao-paulo-sp",
  "sort": "dataAtualizacao",
  "max_results": 100
}
```

**Input Example (URL):**

```json
{
  "input_url": "https://www.catho.com.br/vagas/?page=1",
  "max_results": 100
}
```

**Output Example:**

```json
{
  "id": "38329751",
  "url": "https://www.catho.com.br/vagas/gerente-de-restaurante/38329751",
  "title": "Gerente de Restaurante",
  "company": null,
  "city": "São Paulo",
  "salary": "R$ 3.714",
  "published": "2026-09-12T00:29:00Z",
  "profession_slug": "gerente-de-restaurante"
}
```

**Output fields:**

| Field | Description |
|-------|-------------|
| `id` | Catho job id. |
| `url` | Public job page. |
| `title` | Job title. |
| `company` | Company name when shown. Hidden on anonymous ads. |
| `city` | City on the card. |
| `salary` | Salary text when shown. |
| `published` | Published time as a UTC datetime, calculated from the site’s relative label. |
| `profession_slug` | Profession path on the site. |

### 📋 Input reference

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `input_url` | string | No | — | Catho jobs URL. Overrides every filter. |
| `query` | string | No | — | Profession keyword. Leave empty to browse all Brazil jobs. |
| `location` | string enum | No | All Brazil | Major metro, such as São Paulo (SP). |
| `salary` | string enum | No | Any salary | Same salary ranges as the site filter. |
| `published` | string enum | No | Any date | Today, last week, last month, and other recency options. |
| `sort` | string enum | No | Most recent | Most recent or Most relevant. |
| `max_results` | integer | No | `50` | Maximum rows (`1`–`2000`). |

# Actor input Schema

## `input_url` (type: `string`):

Paste a Catho jobs URL. Overrides every filter when set.

## `query` (type: `string`):

Job title or profession, same as the Catho search box. Leave empty to browse all Brazil jobs.

## `location` (type: `string`):

Major metro area, same idea as the Catho city filter.

## `salary` (type: `string`):

Salary range, same list as the Catho salary filter.

## `published` (type: `string`):

How recently the job was posted, same list as the Catho publication date filter.

## `sort` (type: `string`):

Listing order. Most recent shows the newest jobs first.

## `max_results` (type: `integer`):

How many rows to return (1–2000). Leave Profession empty to page nationwide results.

## Actor input object example

```json
{
  "location": "",
  "salary": "",
  "published": "",
  "sort": "dataAtualizacao",
  "max_results": 50
}
```

# Actor output Schema

## `overview` (type: `string`):

Table view of scraped jobs using the dataset 'overview' view.

## `results` (type: `string`):

All scraped jobs from the default dataset without view transformation.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("dadhalfdev/catho-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("dadhalfdev/catho-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call dadhalfdev/catho-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dadhalfdev/catho-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/8F8zJWzdZWQBwX3xH/builds/uo7CljW90VtPjQKjG/openapi.json