# Computrabajo Scraper — Latin America Jobs (`hipersoft/computrabajo-scraper`) Actor

Scrape Computrabajo job listings across Latin America (Mexico, Colombia, Argentina, Chile, Peru and more): title, company, location, salary, posted date and apply URL. Filter by country and keyword. No setup.

- **URL**: https://apify.com/hipersoft/computrabajo-scraper.md
- **Developed by:** [hiper soft](https://apify.com/hipersoft) (community)
- **Categories:** Jobs, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.002 / listing scraped

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

## Computrabajo Scraper — Scrape Latin America Jobs, Listings & Salaries

**Scrape Computrabajo** job listings at scale into clean JSON, CSV, Excel or XML. This Computrabajo scraper extracts **job title, company, location, salary, posted date and apply URL** for every offer across **18 Latin American country markets** — Mexico, Colombia, Argentina, Chile, Peru and more. A fast, reliable, no-code way to build a LatAm jobs dataset, with no login and nothing to set up.

Computrabajo is one of Latin America's largest job boards, so scraping it by hand across country sites is slow. This Actor turns any keyword and country into a structured jobs feed in one run — an easy, cheap alternative to copying listings manually.

![Computrabajo Scraper input — search query, country and options in the Apify Console](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/computrabajo-scraper-input.png)

### What does the Computrabajo Scraper do?

The Computrabajo Scraper crawls and extracts public **job listings** by **country market and search keyword**. Pick a country (like Mexico or Colombia), type a role such as `desarrollador`, `ventas` or `contador`, set a limit, and it returns structured data points — job title, employer, city, salary, how recently the offer was posted and a direct apply link — ready for analytics, datasets, LLM pipelines, recruiting tools or lead generation.

### What data can you scrape from Computrabajo?

| Group | Fields |
|---|---|
| 💼 **Role** | job title |
| 🏢 **Company** | employer name (or the anonymous employer description) |
| 📍 **Location** | city / region of the offer |
| 💰 **Salary** | salary where the employer publishes it |
| 🕒 **Posted** | how recently the listing was posted |
| 🌎 **Country** | the country market the listing came from |
| 🔗 **URL** | direct link to the job offer |
| 🆔 **Identifiers** | listing ID and collection timestamp |

### Use cases

- **LatAm job-market research** — track demand, roles and hiring trends across 18 Spanish-speaking markets.
- **Salary benchmarking** — collect published pay ranges by role, city and country for compensation studies.
- **Recruiting & sourcing tools** — feed live job listings into an ATS, dashboard or candidate-outreach workflow.
- **Job aggregators & boards** — power a niche or regional job site with fresh Computrabajo listings.
- **Lead generation** — find companies that are actively hiring in a market or vertical.
- **Build a jobs dataset** — title, company, location, salary and dates for thousands of offers.
- **Market entry & expansion research** — gauge talent supply and hiring activity before entering a country.

### How to scrape Computrabajo data

1. Click **Try for free / Start** to open the Computrabajo Scraper.
2. Choose a **country** market (e.g. Mexico, Colombia, Argentina).
3. Type a **keyword** such as `desarrollador`, `ventas` or `contador` — or leave it empty for all jobs.
4. Set **Max listings**, then click **Run**.
5. Download the results as **JSON, CSV, Excel or XML**, or pull them from the API.

### Input

Pick a country, add an optional keyword, and cap the number of listings.

```json
{
  "country": "co",
  "keyword": "contador",
  "maxItems": 300
}
```

| Field | Type | Description |
|---|---|---|
| `country` | string | Computrabajo country market. One of `mx`, `co`, `ar`, `cl`, `pe`, `ec`, `ve`, `gt`, `cr`, `pa`, `do`, `uy`, `bo`, `py`, `sv`, `hn`, `ni`, `pr` (Mexico, Colombia, Argentina, Chile, Peru, Ecuador, Venezuela, Guatemala, Costa Rica, Panama, Dominican Republic, Uruguay, Bolivia, Paraguay, El Salvador, Honduras, Nicaragua, Puerto Rico). |
| `keyword` | string | Job search keyword, e.g. `desarrollador`, `ventas`, `contador`. Leave empty to scrape all jobs. |
| `maxItems` | integer | Maximum number of listings to scrape (default 200). |

#### Scrape by country

Set `country` to any of the 18 supported markets to target that country's Computrabajo site. Run several countries in parallel to build a region-wide LatAm dataset.

#### Filter by keyword

Use `keyword` to narrow results to a role, skill or vertical, or leave it empty to collect every current listing in the chosen country.

### Output

![Computrabajo Scraper output — a jobs dataset with title, company, location, salary and description](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/computrabajo-scraper-output.png)

Each job listing is one dataset item:

```json
{
  "id": "0E4AEAAB7F4280AC61373E686DCF3405",
  "title": "Auxiliar contable",
  "company": "NEVADO'S ICE CREAM SAS",
  "location": "Bogotá, D.C.",
  "salary": "$ 2.100.000,00 (Mensual)",
  "postedAgo": "Hace 2 horas",
  "country": "Colombia",
  "url": "https://co.computrabajo.com/ofertas-de-trabajo/...",
  "collectedAt": "2026-07-30T12:00:00.000Z"
}
```

#### Output schema

| Field | Type | Description |
|-------|------|-------------|
| `id` | string | Unique identifier of the job listing. |
| `title` | string | Job title / role name. |
| `company` | string | Employer name, or the anonymous employer description when the company is hidden. |
| `location` | string | City or region where the job is based. |
| `salary` | string | Salary as published by the employer (may be empty when not disclosed). |
| `postedAgo` | string | How recently the listing was posted, e.g. `Hace 2 horas`. |
| `country` | string | Country market the listing came from. |
| `url` | string (URL) | Direct link to the job offer on Computrabajo. |
| `collectedAt` | string (ISO date) | Timestamp when the listing was collected. |

### Need more job data?

Building a wider hiring or recruitment dataset? Pair the Computrabajo Scraper with our other job scrapers:

- [Internshala Scraper](https://apify.com/hipersoft/internshala-scraper) — internships and entry-level jobs with stipends and skills.
- [JobStreet Scraper](https://apify.com/hipersoft/jobstreet-scraper) — jobs across Southeast Asia with company and salary data.
- [MyCareersFuture Scraper](https://apify.com/hipersoft/mycareersfuture-scraper) — Singapore job listings with salary ranges.
- [Arbeitnow Scraper](https://apify.com/hipersoft/arbeitnow-scraper) — remote and European job listings.

### FAQ

**Do I need a login or an API key for Computrabajo?**
No. The Computrabajo Scraper needs no login, no account and no key — just choose a country, add an optional keyword and run.

**How many job listings can I scrape per run?**
As many as you like. Use `maxItems` to cap the count, and run multiple countries or keywords to scale up to thousands of listings.

**Which countries does it cover?**
All 18 Computrabajo markets: Mexico, Colombia, Argentina, Chile, Peru, Ecuador, Venezuela, Guatemala, Costa Rica, Panama, Dominican Republic, Uruguay, Bolivia, Paraguay, El Salvador, Honduras, Nicaragua and Puerto Rico.

**Can I filter jobs by role or keyword?**
Yes — set `keyword` to a role, skill or search term (e.g. `desarrollador`, `ventas`, `contador`), or leave it empty to collect every current listing.

**Does it include salary data?**
Yes, when the employer publishes it. The `salary` field returns the amount and period as shown on the listing; it can be empty when the employer does not disclose pay.

**How much does it cost?**
You pay only for the listings you get, which makes it one of the cheapest ways to collect LatAm job data at scale. See the Pricing tab for current rates.

**What export formats are supported?**
JSON, CSV, Excel and XML, plus webhooks and the Apify API.

**Can I automate or integrate the Computrabajo Scraper?**
Yes. The Computrabajo Scraper can be connected with almost any cloud service or web app thanks to [integrations on the Apify platform](https://apify.com/integrations). It works with [Make](https://apify.com/integrations/make), [Zapier](https://apify.com/integrations/zapier), [Slack](https://docs.apify.com/platform/integrations/slack), [Airbyte](https://docs.apify.com/platform/integrations/airbyte), [GitHub](https://docs.apify.com/platform/integrations/github), [Google Drive](https://docs.apify.com/platform/integrations/drive) and [many more](https://apify.com/integrations), plus the [Apify API](https://docs.apify.com/api/v2), JavaScript/Python clients and MCP. Or use [webhooks](https://docs.apify.com/platform/integrations/webhooks) to trigger an action whenever a run finishes — get a notification, or kick off another process such as loading your data downstream.

**Is scraping Computrabajo legal?**
The Actor collects only public job listings — no private candidate or personal data. You are responsible for how you use the data and for complying with Computrabajo's terms and applicable laws.

### Related Actors

- [Internshala Scraper](https://apify.com/hipersoft/internshala-scraper) — internships and early-career roles.
- [JobStreet Scraper](https://apify.com/hipersoft/jobstreet-scraper) — Southeast Asia job listings.
- [MyCareersFuture Scraper](https://apify.com/hipersoft/mycareersfuture-scraper) — Singapore jobs with salaries.
- [Arbeitnow Scraper](https://apify.com/hipersoft/arbeitnow-scraper) — remote and European jobs.

### Notes

Original clean-room implementation. Returns only public job listings — no private candidate or personal data; you are responsible for how you use the data and for complying with Computrabajo's terms. This is an independent tool and is not affiliated with or endorsed by Computrabajo.

# Actor input Schema

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

Computrabajo country market.

## `keyword` (type: `string`):

Job search keyword, e.g. desarrollador, ventas, contador. Leave empty for all jobs.

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

Maximum listings to scrape.

## Actor input object example

```json
{
  "country": "mx",
  "maxItems": 200
}
```

# Actor output Schema

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

The scraped results as dataset items.

# 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 = {
    "keyword": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/computrabajo-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 = { "keyword": "" }

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/computrabajo-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 '{
  "keyword": ""
}' |
apify call hipersoft/computrabajo-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/computrabajo-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/ROn8SpCpBQpLMmige/builds/dmtFGucnREt5QeUPW/openapi.json