# Bumeran, Zonajobs & Laborum Jobs Scraper (LatAm) (`bibian/latam-jobs-bumeran-scraper`) Actor

Extract job postings from Latin America's leading job boards in one run: Bumeran and Zonajobs (Argentina, Peru, Venezuela), Laborum (Chile), Multitrabajos (Ecuador) and Konzerta (Panama). About 70,000 live jobs with company, location, work mode and full description.

- **URL**: https://apify.com/bibian/latam-jobs-bumeran-scraper.md
- **Developed by:** [Vivien MORVAN](https://apify.com/bibian) (community)
- **Categories:** Jobs
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 job postings

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

## Bumeran, Zonajobs, Laborum & Multitrabajos Jobs Scraper (LatAm)

One Actor to scrape Latin America's leading job boards, which share the same platform: Bumeran and Zonajobs (Argentina, Peru, Venezuela), Laborum (Chile), Multitrabajos (Ecuador) and Konzerta (Panama), about 70,000 live jobs as clean structured data.

| Country | Job board | Live postings (Oct 2026) |
|---|---|---|
| Argentina | Bumeran, Zonajobs | ~9,700 |
| Chile | Laborum | ~16,500 |
| Peru | Bumeran | ~35,000 |
| Ecuador | Multitrabajos | ~5,800 |
| Panama | Konzerta | ~3,000 |
| Venezuela | Bumeran | ~700 |

### What you can do with it

- **Monitor hiring across Latin America**: new postings by country and keyword, every day.
- **Feed a job alert, an aggregator or a recruiting CRM**: run daily with "Published within 1 day".
- **Find companies that are hiring**: employers recruiting for a role in several countries.
- **Study the market**: work modes (remote, hybrid, on site), contract types and locations.

### Input

| Field | What it does |
|---|---|
| Countries | One or several countries. Default: Argentina. |
| Keywords | Job title or skill, using the job boards' own search. Empty means every posting. |
| Published within (days) | Keep only recent postings. Use `1` for daily monitoring. |
| Maximum number of postings | The run stops once this many postings are saved, across all countries. |
| Include full descriptions | Adds the job description as plain text. |

### Output

One record per posting:

```json
{
  "id": "1118462044",
  "url": "https://www.bumeran.com.ar/empleos/jefe-a-de-estacion-de-servicio-1118462044.html",
  "country": "argentina",
  "jobBoard": "Bumeran / Zonajobs",
  "title": "Jefe/a de Estación de Servicio",
  "companyName": "combustibles",
  "confidentialCompany": false,
  "location": "La Plata, Buenos Aires",
  "workType": "Full-time",
  "workMode": "Presencial",
  "vacancies": 1,
  "suitableForDisabled": false,
  "areaId": 1,
  "subareaId": 22,
  "publishedAt": "2026-09-30T11:54:53",
  "updatedAt": "2026-09-30T17:10:20",
  "companyLogoUrl": null,
  "description": "Buscamos un Jefe/a de Estación de Servicio para liderar…"
}
```

Export the dataset as JSON, CSV or Excel, or read it through the Apify API.

### Good to know

- Up to 100 postings per request: large extractions are fast and cheap, no browser needed.
- If a job board refuses Apify's cloud addresses (Laborum often does), the Actor switches that board to your Apify Proxy automatically.
- When an employer publishes confidentially, `companyName` is empty and `confidentialCompany` is `true`.
- Dates are local to each job board.
- No candidate or recruiter personal data is collected.

### Pricing

Pay per result: **$2.00 per 1,000 postings**, plus $0.00005 per run start. For example, 100 postings cost about $0.20. You only pay for the postings you receive, and platform usage is included in that price.

### Run it from your code

JavaScript:

```js
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('bibian/latam-jobs-bumeran-scraper').call({
  countries: ['argentina'],
  keywords: 'desarrollador',
  publishedWithinDays: 7,
  maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
```

Python:

```python
from apify_client import ApifyClient

client = ApifyClient(token="<APIFY_TOKEN>")
run = client.actor("bibian/latam-jobs-bumeran-scraper").call(run_input={
    "countries": [
        "argentina"
    ],
    "keywords": "desarrollador",
    "publishedWithinDays": 7,
    "maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
```

### Frequently asked questions

**Do I need an account, cookies or a proxy for Bumeran, Zonajobs or Laborum?** No. The actor reads publicly visible pages only.

**How do I get only the new postings every day?** Save a task, set its publication date filter to the shortest window, and schedule it daily with Apify Schedules. Deduplicate on the `id` field if you keep your own copy.

**Which formats can I export?** JSON, CSV, Excel, XML, HTML table or RSS, from the dataset page or through the API.

**Can I connect it to Make, Zapier, n8n or Google Sheets?** Yes, through Apify integrations and webhooks.

**Is it legal to scrape?** The actor collects publicly visible postings and respects the robots.txt rules of the site. How you use the data is your responsibility: check the site's terms and the laws that apply to you, for example the GDPR.

**Something does not work?** Open an issue in the Issues tab. Every public actor is test-run daily and the broken ones are repaired.

**Did this save you time?** A short review on the Store page helps other people find the actor, and tells me what to improve next.

### More job scrapers by the same author

- [Universal Job Postings Scraper (any job site)](https://apify.com/bibian/universal-job-postings-scraper)
- [Free-Work Jobs & Freelance Missions Scraper (France)](https://apify.com/bibian/free-work-jobs-scraper)
- [Infoempleo Jobs Scraper (Spain)](https://apify.com/bibian/infoempleo-jobs-scraper)
- [Codeur.com Freelance Projects Scraper (France)](https://apify.com/bibian/codeur-projects-scraper)
- [Greenhouse, Lever, Ashby & Workable Scraper](https://apify.com/bibian/multi-ats-jobs-scraper)
- [Welcome to the Jungle Scraper (Jobs, No Login)](https://apify.com/bibian/welcometothejungle-scraper)

# Actor input Schema

## `countries` (type: `array`):

Countries to collect. Argentina covers Bumeran and Zonajobs, Chile is Laborum, Ecuador is Multitrabajos, Panama is Konzerta.

## `keywords` (type: `string`):

Job title or skill, for example "desarrollador" or "enfermera". Uses the job boards' own search. Leave empty for every posting.

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

Keep only postings published in the last N days. Use 1 for a daily monitoring run. Leave empty for no limit.

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

The run stops once this many postings are saved, across all countries.

## `includeDescriptions` (type: `boolean`):

Add the full job description as plain text.

## Actor input object example

```json
{
  "countries": [
    "argentina"
  ],
  "maxItems": 50,
  "includeDescriptions": true
}
```

# Actor output Schema

## `postings` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("bibian/latam-jobs-bumeran-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("bibian/latam-jobs-bumeran-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 '{}' |
apify call bibian/latam-jobs-bumeran-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bibian/latam-jobs-bumeran-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/8dvaB1OIHO1Bkquz5/builds/1gytmpWymqR3hXrmR/openapi.json