# Gupy Jobs Scraper (Brazil job postings) (`datahamster/gupy-br-jobs`) Actor

Job postings from Gupy, the ATS used by thousands of Brazilian companies: keyword, city, state and remote/hybrid filters; flat rows with company, location, workplace type, employment type, published date, deadline, skills and full description. Monitor mode alerts on new jobs. No login, no proxy.

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

## Pricing

from $0.50 / 1,000 result items

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## Gupy Jobs Scraper (Brazil job postings)

Gupy is the applicant-tracking system behind the career pages of thousands of Brazilian companies. This actor searches Gupy's job portal and returns one flat row per posting: company, title, city/state, remote/hybrid/on-site, employment type, published date, application deadline, skills and the full description. Monitor mode on a saved Task returns only new postings since the last run, with optional webhook / Telegram summary. For recruiters, job boards, market research and job seekers in Brazil.

### What you get

`jobId`, `url`, `title`, `company`, `companyId`, `companyUrl`, `companyLogo`, `city`, `state`, `country`, `workplaceType`, `isRemote`, `employmentType`, `publishedAt`, `applicationDeadline`, `disabilitiesFriendly`, `skills[]`, `badges[]`, `description`, `keyword`, `rank`, `scrapedAt`.

### Input

- `keywords`, `city`, `state`, `workplaceType`, `maxPages` × 50 jobs.
- `maxItems`; `mode: monitor` for alerts.

### Pricing

| Event | Price |
|---|---|
| result | $0.0005 per job ($0.50 per 1,000) |
| monitor-check | $0.005 per monitor run |
| change | $0.0005 per new/changed job |

Charged only for jobs actually pushed. No proxy needed.

### Limits

- Salary is not published by Gupy.

### Changelog

- 0.1: initial release.

# Actor input Schema

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

Job title keywords (each paginated separately); leave empty for all jobs

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

e.g. São Paulo

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

e.g. São Paulo, Minas Gerais

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

Workplace type filter

## `maxPages` (type: `integer`):

50 jobs per page

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

Stop after this many results (you are charged only for pushed items)

## `mode` (type: `string`):

scrape = full results; monitor = only new/changed items since the previous run of this task

## `monitorKey` (type: `string`):

Optional state key when not running as a saved task

## `webhookUrl` (type: `string`):

POST a change summary here in monitor mode

## `telegramBotToken` (type: `string`):

Optional: bot token for monitor-mode change summaries

## `telegramChatId` (type: `string`):

Optional: chat id that receives monitor-mode summaries

## Actor input object example

```json
{
  "keywords": [
    "python"
  ],
  "workplaceType": "any",
  "maxPages": 4,
  "maxItems": 200,
  "mode": "scrape"
}
```

# Actor output Schema

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

All pushed rows (dataset, JSON)

## `resultsTable` (type: `string`):

Dataset in the Console viewer

## `runSummary` (type: `string`):

RUN\_SUMMARY record (pushed, skipped, emptyReason)

# 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": [
        "python"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("datahamster/gupy-br-jobs").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": ["python"] }

# Run the Actor and wait for it to finish
run = client.actor("datahamster/gupy-br-jobs").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": [
    "python"
  ]
}' |
apify call datahamster/gupy-br-jobs --silent --output-dataset

```

## MCP server setup

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

```

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/rGBu8VNrJvedohyRu/builds/W2iDEPKfcoJIryS5A/openapi.json