# Computrabajo Scraper (`scrapers_lat/computrabajo-scraper`) Actor
Extract job listings from Computrabajo across 19 LATAM countries. Scrape titles, companies, locations, salaries, work mode, dates, descriptions and requirements.
- **URL**: https://apify.com/scrapers\_lat/computrabajo-scraper.md
- **Developed by:** [Michael Flores](https://apify.com/scrapers_lat) (community)
- **Categories:** Jobs, Business, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $8.00 / 1,000 results
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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
> Extract job listings, salaries, and company data from Computrabajo, one of the largest employment platforms in Latin America with millions of active vacancies across 19 country markets.
13 fields per record
19 countries LATAM coverage
JSON / CSV / Excel output formats
Updated 2026-06-19
### What you get
Each job listing returns a structured record ready to load into any database, spreadsheet, or analytics pipeline:
- **title**: full job title as posted
- **company**: hiring company or recruitment agency name
- **location**: city and region of the vacancy
- **salary**: advertised salary and period when published
- **workMode**: on-site, remote, or hybrid arrangement (presencial, remoto, hΓbrido)
- **contractType\***: type of contract (permanent, fixed term, by project, etc.)
- **publishedDate**: how recently the vacancy was posted
- **jobId**: unique Computrabajo offer identifier
- **url**: direct link to the job page
- **description\***: full job description text
- **requirements\***: education and experience requirements
- **companyProfile\***: about-the-company text from the job page
- **observedAt**: when this listing was last seen by the scraper
*\*These fields only appear when withDetails is set to true.*
### Who is it for
| Use case | Who benefits |
|---|---|
| Salary benchmarking | HR and compensation teams pricing roles across LATAM |
| Talent market research | Recruiters and staffing agencies tracking demand by role |
| Hiring trend analysis | Analysts studying remote vs on-site shifts in the region |
| Job board aggregation | Developers feeding vacancies into job search products |
| Academic research | Researchers studying labor markets in Latin America |
### Frequently Asked Questions
**Which Computrabajo countries does it support?**
It works on every Computrabajo country domain, including Colombia (co.computrabajo.com), Mexico (mx.computrabajo.com), Argentina, Chile, Peru, Ecuador, Venezuela, and the rest of the 19 markets. Paste a search URL from the country domain you want and the actor scrapes it directly.
**How many jobs can I collect per run?**
Set the maxItems value to any number you need. The actor follows the site pagination automatically, collecting roughly 20 listings per page until it reaches your limit or runs out of results for that search.
**Can I filter by role, location, or work mode?**
Yes. Apply any filters on Computrabajo itself, such as keyword, city, salary, or remote work, then copy the resulting URL into the Search URL field. Every filter encoded in the URL is respected.
**What is the difference between the basic and detailed output?**
By default you get listing-level fields like title, company, location, salary, and work mode. Turn on Fetch job details to also open each job page and add the full description, requirements, contract type, and company profile.
**What happens when a job has no salary or is missing data?**
Many vacancies do not publish a salary or work mode, so those fields are left empty for that record rather than guessed. If a job page fails to load during a run, the actor records the error and continues without stopping.
---
> This actor is an independent tool and has no affiliation with Computrabajo. It only accesses data that is publicly available on the platform. Use it in accordance with Computrabajo's terms of service.
# Actor input Schema
## `startUrl` (type: `string`):
A Computrabajo search or listing URL to scrape, for example https://co.computrabajo.com/trabajo-de-desarrollador. Apply any filters on the site first and paste the resulting URL. Works on every country domain (co, mx, ar, cl, pe, etc.). Pagination is followed automatically.
## `maxItems` (type: `integer`):
Maximum number of job listings to collect. Optional.
## `withDetails` (type: `boolean`):
When enabled, the actor opens each job page to add description, requirements, contract type, and company profile. This is slower and makes one request per job.
## Actor input object example
```json
{
"startUrl": "https://co.computrabajo.com/trabajo-de-desarrollador",
"maxItems": 10,
"withDetails": false
}
````
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"startUrl": "https://co.computrabajo.com/trabajo-de-desarrollador",
"maxItems": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/computrabajo-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`πΎ 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);
});
// π Want to learn more π? Go to β 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"startUrl": "https://co.computrabajo.com/trabajo-de-desarrollador",
"maxItems": 10,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/computrabajo-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"startUrl": "https://co.computrabajo.com/trabajo-de-desarrollador",
"maxItems": 10
}' |
apify call scrapers_lat/computrabajo-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/computrabajo-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Computrabajo Scraper",
"description": "Extract job listings from Computrabajo across 19 LATAM countries. Scrape titles, companies, locations, salaries, work mode, dates, descriptions and requirements.",
"version": "0.1",
"x-build-id": "cpPq0PrvjvlpkqN60"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~computrabajo-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-computrabajo-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~computrabajo-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-computrabajo-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~computrabajo-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-computrabajo-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"startUrl"
],
"properties": {
"startUrl": {
"title": "Search URL",
"type": "string",
"description": "A Computrabajo search or listing URL to scrape, for example https://co.computrabajo.com/trabajo-de-desarrollador. Apply any filters on the site first and paste the resulting URL. Works on every country domain (co, mx, ar, cl, pe, etc.). Pagination is followed automatically."
},
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of job listings to collect. Optional."
},
"withDetails": {
"title": "Fetch job details",
"type": "boolean",
"description": "When enabled, the actor opens each job page to add description, requirements, contract type, and company profile. This is slower and makes one request per job.",
"default": false
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```