# Gupy Jobs Scraper Brazil (vagas de emprego Gupy) (`rodrigon/gupy-jobs-scraper-brazil`) Actor

Extract job openings from Gupy, Brazil's largest recruiting platform: title, company, city/state, remote/hybrid/on-site, publish date, deadline, PcD flag, skills and description. Filter by keyword, state, city, company, workplace type and recency. Fast HTTP-only, no browser.

- **URL**: https://apify.com/rodrigon/gupy-jobs-scraper-brazil.md
- **Developed by:** [RODRIGO](https://apify.com/rodrigon) (community)
- **Categories:** Jobs, Lead generation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 job returneds

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

## Gupy Jobs Scraper Brazil

**Extract job openings from [Gupy](https://portal.gupy.io)**, the recruiting platform used by thousands of Brazilian employers (Itaú, Ambev, Porto, Stefanini, Magalu…). Get clean, structured data for every job: title, company, city and state, remote / hybrid / on-site, publish date, application deadline, PcD (disability-friendly) flag and the full description.

🇧🇷 *Versão em português abaixo.*

### Features

- 🔎 Search by one or many **keywords**, or leave empty to list everything.
- 🧭 Filter by **state (UF)**, **city**, **company**, **workplace type** and **posted within N days**.
- 🗓️ **Daily monitoring**: schedule it with *Posted within (days) = 1* to get only new jobs. Results come sorted by newest and the run stops early, so it is fast and cheap.
- ⚡ HTTP-only, no browser: thousands of jobs per minute with minimal compute.
- 🧹 Duplicates across keywords are removed. HTML is stripped from descriptions.
- 💸 Pay only for jobs returned.

### Input example

```json
{
  "keywords": ["analista de dados", "python"],
  "states": ["SP", "RJ"],
  "workplaceTypes": ["remote", "hybrid"],
  "postedWithinDays": 7,
  "maxItems": 500
}
```

### Output example

```json
{
  "id": 12664935,
  "title": "Analista de Dados",
  "company": "Porto",
  "companyLogo": "https://attachments.gupy.io/.../companyLogoUrl.jpg",
  "url": "https://porto.gupy.io/job/eyJqb2JJZCI6MTI2NjQ5MzUsInNvdXJjZSI6Imd1cHlfcG9ydGFsIn0=",
  "workplaceType": "on-site",
  "isRemote": false,
  "city": "São Paulo",
  "state": "São Paulo",
  "stateCode": "SP",
  "country": null,
  "jobType": "vacancy_type_effective",
  "publishedAt": "2026-10-02T21:08:09.808Z",
  "applicationDeadline": "2026-11-30T00:00:00.000Z",
  "acceptsPeopleWithDisabilities": true,
  "description": "Buscamos um(a) Analista de Dados para integrar o time…",
  "searchKeyword": "analista de dados",
  "scrapedAt": "2026-10-05T01:39:28.892Z"
}
```

### Use cases

Job boards and aggregators, labor-market and salary research, recruiting agencies sourcing open roles, B2B sales (companies that are hiring are companies that are growing), career alerts by Telegram / e-mail via Apify integrations.

### Pricing

Pay per event: a fee per **job returned**. See the *Pricing* tab.

### Legal

Collects only publicly listed job openings shown on the public Gupy job portal, without login. The portal's robots.txt allows crawling and the Actor checks it at run time. No candidate or personal data is collected.

***

## 🇧🇷 Robô de Vagas da Gupy

**Extraia vagas de emprego da Gupy**, a plataforma de recrutamento usada por milhares de empresas no Brasil. Para cada vaga: cargo, empresa, cidade e estado, remoto / híbrido / presencial, data de publicação, prazo de inscrição, se aceita PcD e a descrição completa.

### Diferenciais

- Busca por várias **palavras-chave** de uma vez (ou todas as vagas).
- Filtros por **UF**, **cidade**, **empresa**, **modelo de trabalho** e **publicadas nos últimos N dias**.
- **Monitoramento diário**: agende com *Posted within (days) = 1* e receba só as vagas novas, ordenadas da mais recente.
- Rápido e barato (sem navegador). Remove duplicadas. Você paga só pelas vagas entregues.

### Como usar

1. Escreva as palavras-chave (ex.: `vendedor`, `enfermeiro`, `analista de dados`).
2. Escolha filtros se quiser.
3. Clique em **Start** e baixe em Excel, CSV ou JSON, ou conecte por API, Make, Zapier ou Google Sheets.

### Legal

Somente vagas públicas do portal de vagas da Gupy, sem login. Nenhum dado de candidatos é coletado.

# Actor input Schema

## `keywords` (type: `array`):

Job titles or terms to search, e.g. 'analista de dados', 'vendedor', 'python'. Leave empty to list all open jobs.

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

Maximum number of jobs to return across all keywords.

## `workplaceTypes` (type: `array`):

Keep only these workplace types.

## `states` (type: `array`):

Two-letter state codes, e.g. SP, RJ, MG.

## `cities` (type: `array`):

City names, e.g. São Paulo, Curitiba (accents optional).

## `companies` (type: `array`):

Keep only jobs whose company name contains one of these terms.

## `postedWithinDays` (type: `integer`):

Keep only jobs published in the last N days. Great for daily scheduled runs.

## Actor input object example

```json
{
  "keywords": [
    "analista de dados"
  ],
  "maxItems": 100
}
```

# Actor output Schema

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

No description

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

// Prepare Actor input
const input = {
    "keywords": [
        "analista de dados"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("rodrigon/gupy-jobs-scraper-brazil").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 = { "keywords": ["analista de dados"] }

# Run the Actor and wait for it to finish
run = client.actor("rodrigon/gupy-jobs-scraper-brazil").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 '{
  "keywords": [
    "analista de dados"
  ]
}' |
apify call rodrigon/gupy-jobs-scraper-brazil --silent --output-dataset

```

## MCP server setup

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

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/Gd9cxmCuHzS6baCQ2/builds/IdlbL2RW2w9V35Yct/openapi.json