# Latin America Jobs Scraper · 4 Networks, 18 Countries (`bibian/latin-america-jobs-scraper`) Actor

Extract job postings from 4 Latin American networks in one run: Bumeran/Navent (Zonajobs, Laborum, Multitrabajos, Konzerta), Computrabajo, Get on Board and Gupy. One unified schema, deduplicated across sources, across 18 countries, no login.

- **URL**: https://apify.com/bibian/latin-america-jobs-scraper.md
- **Developed by:** [Vivien MORVAN](https://apify.com/bibian) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.60 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Latin America Jobs Scraper · 4 Networks, 18 Countries, One Schema

Extract job postings across Latin America in a single run — [Bumeran/Zonajobs, Laborum, Multitrabajos and Konzerta](https://www.bumeran.com.ar) (the Navent network), [Computrabajo](https://www.computrabajo.com), [Get on Board](https://www.getonbrd.com) and [Gupy](https://www.gupy.io) — mapped to one unified schema, deduplicated across sources. No login, no browser.

Argentina, Mexico, Colombia, Chile, Peru, Brazil and 13 more countries, one schema, one run.

### What you can do with it

- **Search job postings across 18 Latin American countries in one run**, instead of buying and maintaining a separate scraper per country or network.
- **Filter once, everywhere**: `keywords`, `location` and `remote` apply the same way across every source that supports them.
- **Compare pay and location across countries**: every record shares the same `salaryMin`/`salaryMax`, `city`, `country` and `employmentType` fields, whichever site it came from.
- **Cover the region's two biggest classified networks plus two tech-focused boards**: Computrabajo alone spans 18 countries; Navent's group (Bumeran, Zonajobs, Laborum, Multitrabajos, Konzerta) and Get on Board add Argentina, Chile, Peru and more; Gupy covers Brazilian company career pages.
- **Monitor new postings daily**: schedule it with `onlyNew` checked to get, and pay for, only what is new since the last run.

### Input

| Field | What it does |
|---|---|
| `countries` | Countries to collect for, from the 18 Latin American countries covered. Default `AR`, `MX`, `CO`, `CL`, `PE`, `BR`. A source outside the requested countries is skipped. |
| `keywords` | Job title, skill or trade, for example `desarrollador` or `vendedor`. Empty means every posting. |
| `location` | City or region, for example `Buenos Aires` or `Bogotá`. Applied by the sources that support it; ignored by the others. |
| `sources` | Which networks to query: `navent`, `computrabajo`, `getonbrd`, `gupy`. All 4 by default — none of them need a residential proxy or a browser. |
| `publishedWithinDays` | Keep only postings published in the last N days. Use `1` for a daily monitoring run. |
| `remote` | Keep only postings with this remote policy: `any`, `remote`, `hybrid` or `onsite`. |
| `maxItems` | The run stops once this many postings are saved, across all sources combined (default 50). |
| `includeDescriptions` | Add the job description as plain text (default off, for speed). |
| `onlyNew` | For scheduled runs: skip postings an earlier run of this same search already delivered. |

### Output

One record per posting, in the schema shared by every job actor on this account:

| Field | Type | Meaning |
|---|---|---|
| `id` | string | Stable identifier (`<source>:<native id>`), used to deduplicate between runs. |
| `url` | string | Public page of the posting. |
| `title` | string | Job title as published. |
| `companyName` | string or null | Employer name; `null` when hidden (then `confidentialCompany: true`). |
| `companyUrl` | string or null | Company page on the source site, when it exists. |
| `locationLabel` | string or null | Location as displayed by the site. |
| `city` | string or null | City. |
| `region` | string or null | Region, state or equivalent. |
| `postalCode` | string or null | Postal code. |
| `country` | string | ISO 3166-1 alpha-2 country code. |
| `remote` | string | `remote`, `hybrid`, `onsite` or `unknown`. |
| `employmentType` | string | `full_time`, `part_time`, `contract`, `freelance`, `internship`, `apprenticeship`, `temporary` or `unknown`. |
| `salaryMin` / `salaryMax` | number or null | Salary range, as numbers. |
| `salaryCurrency` | string or null | ISO 4217 currency code. |
| `salaryPeriod` | string or null | `hour`, `day`, `month` or `year`. |
| `datePosted` | string or null | Publication date, ISO 8601. |
| `validThrough` | string or null | Expiry date, ISO 8601. |
| `description` | string or null | Plain-text description, only when `includeDescriptions` is on. No personal data. |
| `experienceLevel` | string or null | As named by the site. |
| `industry` | string or null | As named by the site. |
| `skills` | string\[] | Skills listed by the site, if any. |
| `source` | string | Host name of the source site. |
| `sourceId` | string | Native identifier on the source site. |
| `scrapedAt` | string | Extraction timestamp, ISO 8601. |

Site-specific fields are kept in addition to these (never in place of them).

Three real results from the same run, side by side:

| Title | Company | Country | Source |
|---|---|---|---|
| Gestor de Cobranzas | Cash Market SA | AR | www.bumeran.com.ar |
| Vendedor/a Part Time Región de la Araucanía | GrupoExpro | CL | cl.computrabajo.com |
| Asesor Comercial Cordoba | SanCor Salud | AR | ar.computrabajo.com |

### Why this one

4 networks, 18 countries, one schema. `country` and `source` on every row to filter or split. Deduplicated across every source — Bumeran/Navent and Computrabajo often publish the same posting, trimmed by URL and by (title, company, city). No connection, no login, no browser or residential proxy for any of the 4 default sources.

### Good to know

- `employmentType` and `remote` are read from each site's own fields when it has one; when a source carries no such field, they are inferred from the title, description or listing tags, and left `unknown` rather than guessed when nothing matches.
- Every result is deduplicated across all active sources before it is counted or charged.
- Gupy only covers a fixed sample of Brazilian company career pages (it is not a keyword search engine the way the other 3 networks are): a known, documented limit of this source, not a bug.
- No personal data: contact details of individuals are stripped from descriptions; only companies and public employers are named.

### En español

Este extractor obtiene ofertas de empleo de cuatro redes latinoamericanas en una sola ejecución — Bumeran/Zonajobs, Laborum, Multitrabajos y Konzerta (red Navent), Computrabajo, Get on Board y Gupy — con un esquema común, sin duplicados entre fuentes, en 18 países: Argentina, México, Colombia, Chile, Perú, Brasil y 12 más. Un solo llamado para 18 países, mismo esquema, sin necesidad de iniciar sesión ni usar navegador.

### Pricing

Pay per result: **$2.00 per 1,000 postings**, plus a small start fee. You only pay for the postings you receive, deduplicated across every active source before being counted or charged. Store discounts apply automatically on paid Apify plans.

### 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/latin-america-jobs-scraper').call({
  countries: ['AR', 'MX', 'CO', 'CL', 'PE', 'BR'],
  keywords: 'desarrollador',
  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/latin-america-jobs-scraper").call(run_input={
    "countries": ["AR", "MX", "CO", "CL", "PE", "BR"],
    "keywords": "desarrollador",
    "maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
```

### Monitor new postings daily and connect your tools

1. **Schedule it.** Save a task, pick your countries and keywords, and schedule it daily with Apify Schedules. Tick **Only new results** and each run returns, and charges, only the postings earlier runs of the same search did not deliver.
2. **Push the results where you work.** Add an Apify integration or a webhook to the task: Google Sheets, Slack, Make, Zapier, n8n or your own endpoint.
3. **Call it from your stack.** The API and the JavaScript and Python clients return the dataset as JSON, CSV or Excel.
4. **Let an AI agent use it.** Through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp), assistants such as Claude or ChatGPT can search the Store, read this page and run the actor as a tool.

### Frequently asked questions

**Do I need a browser or a proxy?** No, not for any of the 4 default sources.

**Which countries are covered?** Argentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Dominican Republic, Ecuador, El Salvador, Guatemala, Honduras, Mexico, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Uruguay and Venezuela. Pick any mix in `countries`.

**Can I get only new postings each day?** Yes: set `publishedWithinDays` to `1`, tick `onlyNew`, and schedule the Actor daily.

**Is it legal to scrape?** The actor collects publicly visible postings and follows each site's robots.txt rules. How you use the data is your responsibility: check the sites' terms and the laws that apply to you.

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

### More job scrapers by the same author

- [Bumeran / LatAm Jobs Scraper (Navent network alone)](https://apify.com/bibian/latam-jobs-bumeran-scraper)
- [Get on Board Jobs Scraper](https://apify.com/bibian/getonbrd-jobs-scraper)
- [Europe Jobs Scraper (12 boards, 7 countries)](https://apify.com/bibian/europe-jobs-scraper)
- [Remote Jobs Worldwide Scraper (8 boards)](https://apify.com/bibian/remote-jobs-worldwide-scraper)

# Actor input Schema

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

Countries to collect job postings for. A source that does not publish for any of these countries is skipped.

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

Job title, skill or trade, for example "desarrollador" or "vendedor". Leave empty to get every posting.

## `location` (type: `string`):

City or region, for example "Buenos Aires" or "Bogotá". Leave empty for no location filter. Applied by the sources that support it; ignored by the others.

## `sources` (type: `array`):

Networks to query in this run. A source outside the requested "countries" is skipped.

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

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

## `remote` (type: `string`):

Keep only postings with this remote policy.

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

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

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

Add the job description as plain text. Off by default for a faster run; turn it on if you need the text.

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

For scheduled runs. Skip the results that an earlier run of this same search already delivered, so each run returns, and charges, only what is new. The memory is kept in a key-value store of your account named "only-new-memory-bibian-" followed by the ID of this Actor.

## Actor input object example

```json
{
  "countries": [
    "AR",
    "MX",
    "CO",
    "CL",
    "PE",
    "BR"
  ],
  "keywords": "desarrollador",
  "sources": [
    "navent",
    "computrabajo",
    "getonbrd",
    "gupy"
  ],
  "remote": "any",
  "maxItems": 50,
  "includeDescriptions": false,
  "onlyNew": false
}
```

# 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 = {
    "keywords": "desarrollador",
    "location": "",
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("bibian/latin-america-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 = {
    "keywords": "desarrollador",
    "location": "",
    "maxItems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("bibian/latin-america-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 '{
  "keywords": "desarrollador",
  "location": "",
  "maxItems": 50
}' |
apify call bibian/latin-america-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bibian/latin-america-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/yndI10wc8yBaFrCl4/builds/mtPjtnyTXYywItJBH/openapi.json