# Cheapest Bumeran Scraper - LatAm Jobs (7 Countries) (`serp.cheap.ofc/bumeran-scraper`) Actor

Scrape jobs across the Bumeran network — Argentina, Peru, Mexico, Venezuela, Chile (Laborum), Panama (Konzerta), Ecuador (Multitrabajos). Full details: description, salary, seniority, modality, location, company. Pay per result, no subscription.

- **URL**: https://apify.com/serp.cheap.ofc/bumeran-scraper.md
- **Developed by:** [serp.cheap](https://apify.com/serp.cheap.ofc) (community)
- **Categories:** Jobs, Lead generation, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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/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

## Bumeran Scraper — LatAm Jobs (7 Countries)

Scrape job listings across the **Bumeran** network on Apify — one actor covers all seven country
sites:

| Country | Site |
|---------|------|
| 🇦🇷 Argentina | bumeran.com.ar |
| 🇵🇪 Peru | bumeran.com.pe |
| 🇲🇽 Mexico | bumeran.com.mx |
| 🇻🇪 Venezuela | bumeran.com.ve |
| 🇨🇱 Chile | laborum.cl |
| 🇵🇦 Panama | konzerta.com |
| 🇪🇨 Ecuador | multitrabajos.com |

**Pay per result, no start fee, no subscription.**

### Why this one

- **All of LatAm in one input.** Pick a `country` and search — same fields, same format across every
  site in the network.
- **The full job surface.** Each job returns title, full description, work modality
  (on-site / hybrid / remote), employment type, seniority, contract type, area, number of vacancies,
  required experience, publish/expiry dates, location (country / province / locality) and the
  employer — plus salary when the poster discloses it.
- **Company profiles.** Optionally chain each public employer to its company profile: description,
  industry, size, location and logo.
- **Self-monitored.** Every run checks upstream health, catching site changes early.

### Modes

Set `mode` in the input:

#### `search` — list jobs

`{ "mode": "search", "country": "cl", "query": "enfermera" }`
Leave `query` empty to list all jobs in the country. Returns job cards (title, company, location,
type, modality, publish date, URL). Set `detailFollow: true` for the full detail of each job, and
`companyFollow: true` to also pull each public employer's company profile.

#### `detail` — full job detail

`{ "mode": "detail", "detailUrls": ["https://www.bumeran.com.ar/empleos/analista-1118373627.html"] }`
Accepts job URLs (from any of the seven sites — the country is auto-detected) or bare job ids.

#### `selftest` — free health check

Probes search + detail and reports which are healthy. No charge.

### Filters

- `country` — which site to search (`ar`, `pe`, `mx`, `ve`, `cl`, `pa`, `ec`).
- `query` — free-text keyword.
- `filters` — optional facet filters as `{type, id}` objects (e.g. province, work modality,
  seniority). The available facet types and ids come back in every search response.
- `sort` — `RELEVANTES` (most relevant) or `RECIENTES` (most recent).
- `maxItems` — cap on results.

### Notes

- Output is two dataset views: **Jobs** (search cards) and **Job detail** (full objects). Text is in
  Spanish, as on the sites.
- Confidential employers are returned without a company name (as the site presents them); salary is
  included only when the job poster discloses it.

### Pricing

Pay per result — no monthly fee, no start fee. See the Store pricing panel.

# Actor input Schema

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

'search' = list jobs (by keyword / filters). 'detail' = full detail for specific job URLs. 'selftest' = free health check.

## `country` (type: `string`):

Which country site to search. Covers the whole network: Argentina & Peru & Mexico & Venezuela (Bumeran), Chile (Laborum), Panama (Konzerta), Ecuador (Multitrabajos).

## `query` (type: `string`):

Free-text job search (title, role, skill). Leave empty to list all jobs in the country.

## `filters` (type: `array`):

Optional facet filters as {type, id} objects (e.g. {"type":"provincia","id":"29"}, {"type":"modalidad\_trabajo","id":"3"}). Facet types and ids come from a search response's filters.

## `sort` (type: `string`):

Result ordering.

## `detailUrls` (type: `array`):

For 'detail' mode: Bumeran/Laborum/Konzerta/Multitrabajos job URLs or bare aviso ids. The country site is auto-detected from each URL.

## `detailFollow` (type: `boolean`):

In 'search' mode, also fetch each job's detail page for the full requirement/salary/seniority surface. Costs one detail charge per job (slower).

## `companyFollow` (type: `boolean`):

When a job's employer is public, also fetch its company profile. Costs one company charge per company.

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

Cap on jobs returned (search) or detail pages (detail).

## `proxyConfiguration` (type: `object`):

The default Apify proxy works well.

## `debug` (type: `boolean`):

Verbose per-request logging for troubleshooting.

## Actor input object example

```json
{
  "mode": "search",
  "country": "ar",
  "filters": [],
  "sort": "RELEVANTES",
  "detailFollow": false,
  "companyFollow": false,
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "debug": false
}
```

# Actor output Schema

## `jobs` (type: `string`):

No description

## `detail` (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("serp.cheap.ofc/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("serp.cheap.ofc/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 serp.cheap.ofc/bumeran-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,serp.cheap.ofc/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/cz6UGVyVmgGFqbo6A/builds/FBGywTZmlZfIXSrLi/openapi.json