# Computrabajo Latam Dev Jobs Scraper (`jungle_synthesizer/computrabajo-latam-dev-jobs-scraper`) Actor

Developer job listings from Computrabajo across Colombia, Mexico, Peru, Chile, Argentina, Venezuela and Ecuador. Returns title, company, location, salary, employment type, seniority, full description and apply link for each posting.

- **URL**: https://apify.com/jungle\_synthesizer/computrabajo-latam-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 $0.80 / 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

## Computrabajo LATAM Dev Jobs Scraper

Scrape developer job postings from [Computrabajo](https://www.computrabajo.com/), the largest LATAM-wide job board, across seven countries in one run. Returns title, company, location, salary, employment type, seniority, full description, requirements, and apply link for every posting.

***

### Computrabajo LATAM Dev Jobs Scraper Features

- Covers seven countries in one input — Colombia, Mexico, Peru, Chile, Argentina, Venezuela, Ecuador
- Returns salary figures normalized to numbers, in local currency (COP, MXN, PEN, CLP, ARS, VES, USD)
- Captures the full job description (plain text and raw markup) plus a structured requirements list
- Infers seniority level (Junior / Semi Senior / Senior / Trainee) from the posting title
- Flags remote/hybrid postings so you can filter without re-reading every description
- Resumes a large multi-country crawl across runs without re-charging for records already delivered

***

### Who Uses Computrabajo Data?

- **Recruiters and staffing agencies** — source developer candidates by tracking who's hiring across LATAM
- **Market researchers** — benchmark developer salaries by country, city, or seniority level
- **HR tech and compensation platforms** — feed real posted-salary data into LATAM comp models
- **Job aggregators** — combine this feed with other regional boards for a cross-site LATAM tech-jobs index
- **Company/competitor watchers** — track a specific employer's hiring activity over time

***

### How Computrabajo LATAM Dev Jobs Scraper Works

1. Pick which countries to include (default: all seven) and set a record limit.
2. The scraper walks each country's developer-jobs listing pages, page by page, discovering every posting.
3. Each posting's detail page is visited to pull the complete record — salary, requirements, description, and apply link.
4. Records stream to the dataset as they're collected, so you don't wait for the whole run to finish before you can start using results.

***

### Input

```json
{
  "maxItems": 50,
  "countries": ["co", "mx", "pe"]
}
```

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `countries` | array | all seven | LATAM countries to include: `co` (Colombia), `mx` (Mexico), `pe` (Peru), `cl` (Chile), `ar` (Argentina), `ve` (Venezuela), `ec` (Ecuador). Empty = all seven. |
| `maxItems` | integer | 10 | Maximum number of job postings to scrape across all selected countries. |
| `resumeCursor` | string | — | Cursor from a previous run's Output. Supply it to continue a large crawl without re-fetching — you are not re-charged for records already received. |

**Single country:**

```json
{
  "maxItems": 200,
  "countries": ["mx"]
}
```

**All countries (default):**

```json
{
  "maxItems": 500
}
```

***

### Computrabajo LATAM Dev Jobs Scraper Output Fields

```json
{
  "id": "F952275D26D2175961373E686DCF3405",
  "title": "Desarrollador de mercado/ Ejecutivo comercial",
  "company_name": "Ocupar Temporales S.A.",
  "company_logo_url": "https://ii.ct-stc.com/1/logos/empresas/2022/06/06/ocupartemporales204238thumbnail.png",
  "country": "co",
  "city": "Montería",
  "region_state": "Córdoba",
  "is_remote": false,
  "employment_type": "FULL_TIME",
  "seniority": "",
  "sector": "RRHH / Personal",
  "salary_min": 3500000,
  "salary_max": 3500000,
  "salary_currency": "COP",
  "description_html": "Importante empresa se encuentra en la búsqueda...",
  "description_text": "Importante empresa se encuentra en la búsqueda...",
  "requirements": "Educación mínima: Universidad / Carrera técnica; 2 años de experiencia",
  "benefits": "",
  "apply_url": "https://candidato.co.computrabajo.com/match/?oi=F952275D26D2175961373E686DCF3405&p=57&idb=1",
  "posted_at": "2026-07-23",
  "source_url": "https://co.computrabajo.com/ofertas-de-trabajo/oferta-de-trabajo-de-desarrollador..."
}
```

| Field | Type | Description |
|-------|------|-------------|
| `id` | string | Computrabajo internal job id |
| `title` | string | Job title |
| `company_name` | string | Hiring company name; empty for postings that hide the employer |
| `company_logo_url` | string | Company logo image URL, when published |
| `country` | string | Country code — `co`, `mx`, `pe`, `cl`, `ar`, `ve`, `ec` |
| `city` | string | City |
| `region_state` | string | Region / department / state |
| `is_remote` | boolean | Whether the posting allows remote or hybrid work |
| `employment_type` | string | Employment type as published (e.g. `FULL_TIME`, `Tiempo Completo`) |
| `seniority` | string | Seniority inferred from the title — `Junior`, `Semi Senior`, `Senior`, `Trainee`, or empty when not identifiable |
| `sector` | string | Industry / sector, when published |
| `salary_min` | number | Minimum salary in local currency; `null` when not disclosed |
| `salary_max` | number | Maximum salary in local currency; `null` when not disclosed |
| `salary_currency` | string | Local currency code — `COP`, `MXN`, `PEN`, `CLP`, `ARS`, `VES`, `USD` |
| `description_html` | string | Full job description, raw markup |
| `description_text` | string | Full job description, plain text |
| `requirements` | string | Requirements list, semicolon-separated |
| `benefits` | string | Benefits list, semicolon-separated, when published as a separate section |
| `apply_url` | string | Direct apply link |
| `posted_at` | string | Date the job was posted (ISO 8601), when available |
| `source_url` | string | Canonical job posting URL |

***

### Resuming a large crawl

Every run emits a `resumeCursor` in its Output. If a large crawl stops before it finishes — because it hit `maxItems`, your spend cap (`maxTotalChargeUsd`), or was aborted — start a new run with **the same input** plus that `resumeCursor` to continue from where it left off.

- You are **not re-charged** for records the earlier run already delivered.
- Resume within your account's run-retention window — on the free tier, roughly your 10 most recent runs. Once the source run is pruned, its `resumeCursor` is no longer valid.
- `resumeCursor` is opaque — supply it unmodified.

***

### FAQ

#### How do I scrape Computrabajo developer job data?

Pick your `countries` (or leave empty for all seven) and set `maxItems`, then run the actor. It returns one record per posting with salary, location, requirements, and the full description.

#### Which countries are covered?

Colombia, Mexico, Peru, Chile, Argentina, Venezuela, and Ecuador — Computrabajo's full LATAM footprint, in one input.

#### Why is `salary_min`/`salary_max` sometimes `null`?

Not every posting discloses a salary. When Computrabajo doesn't publish a figure, both fields are `null` rather than a placeholder zero.

#### Why is `company_name` sometimes empty?

Some postings are published without disclosing the hiring company. The field is left empty for those rather than guessed.

#### How much does Computrabajo LATAM Dev Jobs Scraper cost to run?

Computrabajo LATAM Dev Jobs Scraper runs on Apify's pay-per-event pricing. Cost scales with the number of records returned — check the Pricing tab on the Actor page for current rates.

***

### Need More Features?

Need custom fields, filters, or a different target site? [File an issue](https://console.apify.com/actors/issues) or get in touch.

### Why Use Computrabajo LATAM Dev Jobs Scraper?

- **Whole-region coverage in one run** — no need to run a separate actor per country.
- **Normalized salary figures** — parsed to numbers in local currency, not left as raw formatted strings.
- **Handles inconsistent source markup** — postings that only carry partial structured data are still fully extracted from the visible page content.

# 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).

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

LATAM countries to include. Empty selects all seven.

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

Maximum number of job postings to scrape across all selected countries.

## 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...",
  "countries": [
    "co",
    "mx",
    "pe",
    "cl",
    "ar",
    "ve",
    "ec"
  ],
  "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...",
    "countries": [
        "co",
        "mx",
        "pe",
        "cl",
        "ar",
        "ve",
        "ec"
    ],
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("jungle_synthesizer/computrabajo-latam-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...",
    "countries": [
        "co",
        "mx",
        "pe",
        "cl",
        "ar",
        "ve",
        "ec",
    ],
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("jungle_synthesizer/computrabajo-latam-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...",
  "countries": [
    "co",
    "mx",
    "pe",
    "cl",
    "ar",
    "ve",
    "ec"
  ],
  "maxItems": 10
}' |
apify call jungle_synthesizer/computrabajo-latam-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/computrabajo-latam-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/bMqxASunrQhOeTLd2/builds/k9oQEYiwbfuRz27h2/openapi.json