# Empregos.com.br Developer Jobs Scraper (`jungle_synthesizer/empregos-com-br-dev-jobs-scraper`) Actor

Extract developer and IT job listings from empregos.com.br, one of Brazil's top job boards. Get titles, companies, locations, salary ranges in BRL, posting dates, apply URLs, and full descriptions.

- **URL**: https://apify.com/jungle\_synthesizer/empregos-com-br-dev-jobs-scraper.md
- **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.40 / 1,000 record scrapeds

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/platform/actors/running/actors-in-store#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

## Empregos.com.br Developer Jobs Scraper

Scrape developer and IT job listings from [Empregos.com.br](https://www.empregos.com.br), one of Brazil's largest job boards. Returns job title, hiring company, city and state, remote flag, salary range in BRL, posting date, the full job description in both HTML and plain text, and a direct apply URL — the Brazilian tech-hiring data you can't get from the US-centric job aggregators.

***

### Empregos.com.br Developer Jobs Scraper Features

- Extracts 16 fields per posting, including `salary_min`/`salary_max` in BRL and a working `apply_url` that points at the real application form
- Returns the job description twice — `description_html` preserves the source formatting, `description_text` is ready to feed a model or a search index
- Flags remote roles explicitly via `is_remote` rather than making you parse it out of the title
- Splits location into `city`, `state` and `country` instead of one unstructured string
- Reads the posting date as a real ISO timestamp (`posted_at`), so you can filter by recency
- Resumes an interrupted crawl from a cursor without re-charging you for records you already have

***

### Who Uses Empregos.com.br Job Data?

- **Recruiters and staffing agencies** — track which Brazilian companies are hiring developers, and at what salary bands
- **Salary-benchmarking tools** — build BRL compensation datasets for the Brazilian tech market
- **Job aggregators** — ingest Brazilian listings that English-language boards don't carry
- **Market researchers** — measure tech-hiring demand by city, state, and remote-vs-onsite
- **Sales teams** — spot companies scaling their engineering headcount as a buying signal

***

### How Empregos.com.br Developer Jobs Scraper Works

1. Set `maxItems` to however many postings you want.
2. The scraper walks the developer/IT listing pages and queues every job it finds.
3. Each job page is fetched for the fields the listing page doesn't carry — full description, salary, and the apply URL.
4. Records land in your dataset as they're scraped, up to your `maxItems` cap.

***

### Input

```json
{
  "maxItems": 100
}
```

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `maxItems` | integer | 10 | Maximum number of job postings to scrape (required) |
| `resumeCursor` | string | — | Cursor from a previous run's Output — continues an interrupted crawl instead of starting over |

***

### Empregos.com.br Developer Jobs Scraper Output Fields

```json
{
  "id": "11732163",
  "title": "Desenvolvedor Full Stack",
  "company_name": "Profectum Tecnologia",
  "city": "São Paulo",
  "state": "SP",
  "country": "BR",
  "is_remote": false,
  "seniority": null,
  "salary_min": 11500,
  "salary_max": 11500,
  "salary_currency": "BRL",
  "benefits": null,
  "description_html": "<h3>Sobre a vaga</h3><p>Atuar no desenvolvimento e evolução de aplicações…</p>",
  "description_text": "Sobre a vaga Atuar no desenvolvimento e evolução de aplicações…",
  "apply_url": "https://www.empregos.com.br/formulario-curriculo?vagaTitulo=…",
  "posted_at": "2026-08-07T16:00:00Z",
  "source_url": "https://www.empregos.com.br/vaga/11732163/desenvolvedor-full-stack"
}
```

| Field | Type | Notes |
|-------|------|-------|
| `id` | string | Empregos.com.br's own posting id |
| `title` | string | Job title as published |
| `company_name` | string | Hiring company |
| `city` / `state` / `country` | string | Location, split into parts (`state` is the 2-letter BR code) |
| `is_remote` | boolean | True when the posting is advertised as remote |
| `seniority` | string | null | Júnior / pleno / sênior, read from the title when the title states one |
| `salary_min` / `salary_max` | number | null | BRL range; `null` on "À combinar" (negotiable) postings |
| `salary_currency` | string | Always `BRL` |
| `benefits` | string | null | Extracted from a "Benefícios:" marker in the description when present |
| `description_html` | string | Full description, source formatting preserved |
| `description_text` | string | Same description, plain text |
| `apply_url` | string | Direct link to the application form for this posting |
| `posted_at` | string | ISO 8601 timestamp |
| `source_url` | string | Canonical URL of the posting |

#### A note on sparse fields

`seniority`, `benefits` and the salary fields are **genuinely sparse at the source**, not missing data. Empregos.com.br carries no structured seniority or benefits tag anywhere in its markup — those values are read out of the title and description text when the posting happens to state them. Salary is `null` whenever a posting says "À combinar". Measured across a 10-record sample: `seniority` 2/10, `salary_min` 2/10, `benefits` 1/10, while `title`, `company_name`, `apply_url` and `source_url` were 10/10.

***

### Frequently Asked Questions

**Does it cover jobs outside tech?**
The scraper targets the developer/IT listings. Empregos.com.br carries other verticals, but this actor is scoped to tech roles.

**Why is `salary_min` null on some records?**
Because the posting says "À combinar" — negotiable. That's the source's answer, not a scraping failure.

**Can I resume a run that stopped early?**
Yes. Take the `resumeCursor` from the previous run's Output and pass it back in.

**Is the data in Portuguese?**
Yes — titles, descriptions and benefits are returned exactly as published.

# Actor input Schema

## `sp_intended_usage` (type: `string`):

What will this data feed? E.g. lead lists, KYB checks, price tracking.

## `sp_improvement_suggestions` (type: `string`):

Provide any feedback or suggestions for improvements.

## `sp_contact` (type: `string`):

We'll personally help with your use case. No spam.

## `resumeCursor` (type: `string`):

Leave empty for a fresh crawl. To CONTINUE a previous run where it stopped — without paying again for records you already received — paste the `resumeCursor` value from that run's Output (the run's OUTPUT key). Resume promptly: the previous run's data expires with your account's retention window (free tier: your ~10 most recent runs).

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

Maximum number of records to scrape

## Actor input object example

```json
{
  "sp_intended_usage": "Describe your intended use...",
  "sp_improvement_suggestions": "Share your suggestions here...",
  "sp_contact": "Share your email here...",
  "maxItems": 10
}
```

# Actor output Schema

## `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 = {
    "sp_intended_usage": "Describe your intended use...",
    "sp_improvement_suggestions": "Share your suggestions here...",
    "sp_contact": "Share your email here...",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("jungle_synthesizer/empregos-com-br-dev-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 = {
    "sp_intended_usage": "Describe your intended use...",
    "sp_improvement_suggestions": "Share your suggestions here...",
    "sp_contact": "Share your email here...",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("jungle_synthesizer/empregos-com-br-dev-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 '{
  "sp_intended_usage": "Describe your intended use...",
  "sp_improvement_suggestions": "Share your suggestions here...",
  "sp_contact": "Share your email here...",
  "maxItems": 10
}' |
apify call jungle_synthesizer/empregos-com-br-dev-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jungle_synthesizer/empregos-com-br-dev-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/kRmw75hglRIdNRAIe/builds/esOThV5lY74UX9bqD/openapi.json