# Gupy Jobs Brazil Scraper (Careers & Openings) (`reventadata/gupy-jobs-scraper`) Actor

Scrape job openings, career portals, salaries, requirements, work models, and companies across Brazil from Gupy ATS (gupy.io). Zero applicant PII.

- **URL**: https://apify.com/reventadata/gupy-jobs-scraper.md
- **Developed by:** [reventadata](https://apify.com/reventadata) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 job listing items

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

> **Unofficial.** This Actor is not affiliated with, authorised by, endorsed by, or in any
> way officially connected to Gupy Tecnologia em Recrutamento Ltda or any of its subsidiaries.
> "Gupy" is a registered trademark of Gupy Tecnologia em Recrutamento Ltda. This tool queries
> publicly accessible job postings on Gupy's public career search portal.

Gupy Jobs Brazil Scraper extracts live job openings, hiring companies, workplace arrangements (remote, hybrid, on-site), employment contract types, locations, and comprehensive role descriptions across Brazil from the Gupy ATS platform (used by over 90% of Brazil's largest corporate employers).

### What data can you extract?

- **Job Identification:** Unique Gupy job ID, exact role title (`name`), and direct application link (`jobUrl`).
- **Hiring Company:** Verified corporate employer name (`companyName`), career portal brand (`careerPageName`), and corporate logo URL (`careerPageLogo`).
- **Work Model:** Workplace arrangement (`remote`, `hybrid`, `on-site`).
- **Contract & Employment Type:** Standard contract code (`type`) and localized label (`typeLabel`: Effective / CLT, Estágio, Jovem Aprendiz, Temporário).
- **Location:** Municipality (`city`) and State (`state`) in Brazil.
- **Publishing Timeline:** Publication timestamp (`publishedDate`) and application deadline (`applicationDeadline`).
- **Inclusion & Accessibility:** Indicator whether the position is accessible or dedicated to Persons with Disabilities (`disabilities` / PcD).
- **Full Job Description:** Comprehensive job description (`description`) covering company overview, day-to-day responsibilities, mandatory qualifications, bonus points, and corporate employee benefits.

### Why scrape Gupy Jobs?

- **Comprehensive Enterprise Reach in Brazil:** Gupy is the recruitment standard for Brazil's tech, banking, and retail giants (Nubank, Itaú Unibanco, Ambev, Grupo Boticário, Magalu, Solar Coca-Cola, etc.) with over 80,000 active openings.
- **Recruitment Market Intelligence & Benchmarking:** Track corporate hiring spikes, in-demand technical stacks, compensation trends, and remote work policies.
- **Zero Candidate PII by Design:** Fully compliant with Brazilian LGPD (Lei Geral de Proteção de Dados). Scrapes public corporate job descriptions only; never exposes candidate profiles, resumes, or personal contact details.
- **Predictable Pay-Per-Event (PPE) Pricing:** Pay only for results returned at **$2.00 per 1,000 job openings** ($0.002 per item), with platform usage fully absorbed by us.

### How to use

1. Enter target job roles, skills, or titles in `searchQueries` (e.g. `["desenvolvedor python", "analista de dados"]`).
2. Select workplace preference in `workplaceType` (`all`, `remote`, `hybrid`, `on-site`).
3. Optionally filter by `contractType` (`all`, `vacancy_type_effective`, `vacancy_type_internship`, `vacancy_type_apprentice`, `vacancy_type_temporary`).
4. Optionally filter by Brazilian `state` (e.g. `"São Paulo"`) or `city` (e.g. `"Curitiba"`).
5. Configure `maxItems` (default: 50, prefill: 10).
6. Run the Actor and export clean job data to JSON, CSV, Excel, or Google Sheets.

#### Input Parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `searchQueries` | array | `["desenvolvedor python"]` | Job titles, roles, or skills to search on Gupy. |
| `workplaceType` | string | `"all"` | Work model: `all`, `remote` (remoto), `hybrid` (híbrido), or `on-site` (presencial). |
| `contractType` | string | `"all"` | Contract type: `all`, `vacancy_type_effective` (CLT), `vacancy_type_internship` (estágio), `vacancy_type_apprentice` (aprendiz), `vacancy_type_temporary`. |
| `state` | string | *null* | Optional Brazilian state name (e.g. `São Paulo`, `Rio de Janeiro`, `Minas Gerais`). |
| `city` | string | *null* | Optional Brazilian city name (e.g. `São Paulo`, `Curitiba`). |
| `maxItems` | integer | `50` | Maximum job openings to output to dataset (prefill: 10). |
| `proxyConfiguration` | object | *Direct* | Apify Proxy configuration (direct egress used by default). |

#### Sample Output Record

```json
{
  "id": 12702692,
  "name": "Pessoa Desenvolvedora Backend Python Especialista I - Venda Direta",
  "companyName": "Grupo Boticário",
  "careerPageName": "Grupo Boticário",
  "careerPageLogo": "https://attachments.gupy.io/production/companies/295/career/210/images/2025-05-20_20-25_companyLogoUrl.png",
  "type": "vacancy_type_effective",
  "typeLabel": "Efetivo (CLT)",
  "workplaceType": "remote",
  "city": "",
  "state": "",
  "publishedDate": "2026-10-16T17:18:32.626Z",
  "applicationDeadline": "2026-11-18T00:00:00.000Z",
  "disabilities": true,
  "jobUrl": "https://grupoboticario.gupy.io/job/eyJqb2JJZCI6MTI3MDI2OTIsInNvdXJjZSI6Imd1cHlfcG9ydGFsIn0=?jobBoardSource=gupy_portal",
  "description": "Um dos maiores grupos de beleza do mundo, o Grupo Boticário é uma empresa brasileira presente em mais de 40 países...",
  "searchQuery": "desenvolvedor python",
  "scrapedAt": "2026-10-17T15:52:54.123456+00:00"
}
```

# Actor input Schema

## `searchQueries` (type: `array`):

List of job titles, roles, or skills to search on Gupy (e.g., 'desenvolvedor python', 'analista financeiro').

## `workplaceType` (type: `string`):

Filter by workplace arrangement: all, remote only, hybrid, or on-site.

## `contractType` (type: `string`):

Filter by employment type: all, effective (CLT), internship (estágio), apprentice (jovem aprendiz), or temporary.

## `state` (type: `string`):

Optional Brazilian state name (e.g., 'São Paulo', 'Rio de Janeiro', 'Minas Gerais', 'Paraná').

## `city` (type: `string`):

Optional Brazilian city name (e.g., 'São Paulo', 'Curitiba', 'Belo Horizonte').

## `maxItems` (type: `integer`):

Maximum number of job openings to collect across all search queries.

## `proxyConfiguration` (type: `object`):

Proxy settings. Gupy API supports direct egress without proxy.

## Actor input object example

```json
{
  "searchQueries": [
    "desenvolvedor python"
  ],
  "workplaceType": "all",
  "contractType": "all",
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

Items scraped from the target website.

# 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 = {
    "searchQueries": [
        "desenvolvedor python"
    ],
    "workplaceType": "all",
    "contractType": "all",
    "maxItems": 10
};

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

# Prepare the Actor input
run_input = {
    "searchQueries": ["desenvolvedor python"],
    "workplaceType": "all",
    "contractType": "all",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("reventadata/gupy-jobs-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 '{
  "searchQueries": [
    "desenvolvedor python"
  ],
  "workplaceType": "all",
  "contractType": "all",
  "maxItems": 10
}' |
apify call reventadata/gupy-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,reventadata/gupy-jobs-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/5rlA2gTKK7zI2ec6o/builds/xaKMoCFgBEtf6tpt3/openapi.json