# Vagas Gupy — senioridade, CLT/PJ, salário e só vagas novas (`boliveira/gupy-vagas`) Actor

Vagas de emprego da Gupy com campos prontos para análise: senioridade, CLT/PJ, salário (quando informado), benefícios, skills, inglês, PcD — e modo de monitoramento que retorna só vagas novas. Brazilian Gupy job listings, enriched.

- **URL**: https://apify.com/boliveira/gupy-vagas.md
- **Developed by:** [Bruno Scherer Oliveira](https://apify.com/boliveira) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.45 / 1,000 vaga entregues

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

## Vagas Gupy — senioridade, CLT/PJ, salário e só vagas novas

Extraia vagas de emprego publicadas na **Gupy** (portal.gupy.io) já com os campos que normalmente você teria que
tratar à mão: **senioridade, tipo de contrato (CLT/PJ), faixa salarial quando informada, benefícios, skills
técnicas, exigência de inglês e vagas afirmativas/PcD**. Com o modo **"Somente vagas novas"**, uma execução
agendada entrega todo dia apenas o que entrou desde a última vez.

*English below.*

### Para que serve

- **Alertas de vagas**: agende diariamente com "Somente vagas novas" e conecte a e-mail, Slack, Telegram ou planilha.
- **Recrutamento e inteligência de mercado**: quem está contratando, para quais cargos, em quais cidades, remoto ou não.
- **Pesquisa salarial e de skills**: quais tecnologias e benefícios aparecem por cargo e senioridade.
- **Bootcamps, escolas e consultorias**: acompanhar demanda por perfis (ex.: dados, desenvolvimento, estágio).

### Entrada

```json
{
  "queries": ["analista de dados", "desenvolvedor"],
  "state": "SP",
  "workplaceTypes": ["remote", "hybrid"],
  "publishedWithinDays": 7,
  "onlyNew": true,
  "maxItems": 200
}
```

Deixe `queries` vazio para pegar todas as vagas com os filtros escolhidos.

### Saída (exemplo)

```json
{
  "id": 12785531,
  "title": "Analista de Dados e BI Pleno (Python/SQL - Remoto)",
  "company": "Empresa Exemplo",
  "city": "São Paulo",
  "state": "São Paulo",
  "workplaceType": "remote",
  "vacancyType": "efetivo",
  "seniority": "pleno",
  "contractType": "CLT",
  "salaryMin": 5000,
  "salaryMax": 7000,
  "salaryText": "R$ 5.000 | R$ 7.000",
  "benefits": ["vale_alimentacao", "plano_de_saude", "academia"],
  "skills": ["python", "sql", "power bi"],
  "requiresEnglish": false,
  "pcdFriendly": true,
  "publishedDate": "2026-10-26T14:33:18.276Z",
  "applicationDeadline": "2026-11-30T00:00:00.000Z",
  "url": "https://empresa.gupy.io/job/...",
  "description": "…"
}
```

Os campos extraídos (senioridade, contrato, salário, benefícios, skills) são inferidos do título e do texto
da vaga e podem vir `null`/vazios quando a vaga não informa. Salário só é preenchido quando o anúncio publica valor.

### Preço

Pay-per-event: você paga por vaga entregue. Vagas filtradas ou já entregues (modo "só novas") não são cobradas.

### Boas práticas e limites

- Usa somente a busca pública do portal da Gupy (permitida pelo `robots.txt`), com identificador de robô
  honesto e ~1 requisição por segundo.
- Coleta apenas dados das vagas e das empresas; nenhum dado de candidatos.
- Não é afiliado nem endossado pela Gupy.

***

### English

Scrape job listings from Gupy, Brazil's largest recruiting platform, enriched with seniority, CLT/PJ contract,
salary (when published), benefits, tech skills, English requirement and affirmative/PwD flags. Filter by keyword,
state, city, remote/hybrid/on-site, vacancy type and recency. Turn on **"only new jobs"** and schedule a daily
run to get just the listings added since the previous run. Pay per job delivered; filtered or already-delivered
jobs are never charged. Only Gupy's public, robots.txt-permitted job search is used; no candidate data is collected.

# Actor input Schema

## `queries` (type: `array`):

Termos buscados no título da vaga (ex.: "analista de dados", "desenvolvedor"). Vazio = todas as vagas. Job title keywords; empty = all jobs.

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

Filtrar por estado. Filter by Brazilian state.

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

Ex.: Campinas, Belo Horizonte.

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

Vazio = todos. Empty = all.

## `vacancyTypes` (type: `array`):

Vazio = todos. Empty = all.

## `publishedWithinDays` (type: `integer`):

Deixe vazio para qualquer data. Only jobs published in the last N days.

## `pcdOnly` (type: `boolean`):

Apenas vagas marcadas como afirmativas ou para pessoas com deficiência. Affirmative / PwD jobs only.

## `onlyNew` (type: `boolean`):

Lembra as vagas já entregues para esta mesma busca e retorna apenas as novas. Ideal para execução agendada (diária). Returns only jobs not delivered by a previous run with the same filters.

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

Limite de vagas por combinação de termo e filtros. Max jobs per search.

## `includeDescription` (type: `boolean`):

Inclui o texto completo da vaga. Include the full job description.

## Actor input object example

```json
{
  "queries": [
    "analista de dados"
  ],
  "pcdOnly": false,
  "onlyNew": false,
  "maxItems": 100,
  "includeDescription": true
}
```

# Actor output Schema

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

Dataset with one enriched job listing per item (seniority, contract, salary, benefits, skills).

## `summary` (type: `string`):

RUN_SUMMARY record: item count, failures and run settings.

# 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 = {
    "queries": [
        "analista de dados"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("boliveira/gupy-vagas").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 = { "queries": ["analista de dados"] }

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

```

## MCP server setup

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

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/iaVe5LhuODHginPPK/builds/X2KBNv9honhakfcHW/openapi.json