# Computrabajo Jobs Scraper - Econรณmica Low-cost๐ฒ๐ฅ๐๐ผ (`delectable_incubator/computrabajo-jobs-scraper-economica-low-cost`) Actor
Scrape Computrabajo job listings ๐๐ผ with a powerful job scraper. Extract job titles, company profiles, locations, work modalities, ratings, and employment details. Ideal for job market research, recruitment intelligence, HR analytics, and hiring trend analysis with structured datasets ๐๐
- **URL**: https://apify.com/delectable\_incubator/computrabajo-jobs-scraper-economica-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.00005 / actor start
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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 Jobs Search Scraper ๐๐๐๐ผ
The Computrabajo Jobs Search Scraper is a powerful and scalable Apify Actor designed to extract structured job listings directly from Computrabajo.
It enables recruitment intelligence, HR analytics, job market monitoring, hiring trend analysis, lead generation, and structured dataset creation from one of the largest job platforms across Latin America and Spain.
---
### ๐ฏ What This Scraper Does
Simply provide one or more job search keywords, locations, and countries โ the scraper handles everything automatically.
โ
Extracts structured job listings from Computrabajo
โ
Supports bulk keyword searches
โ
Supports multiple countries across Latin America
โ
Handles pagination automatically
โ
Applies maxitems limits per keyword
โ
Collects structured company and job metadata
โ
Extracts work modality and verification indicators
โ
Captures company ratings when available
โ
Generates clean and structured datasets
โ
Ready for recruitment & analytics workflows
โ
Export-ready output format
---
### ๐ Data Extracted
๐ผ Job Listing Information
| Field | Description |
| -------------------- | ----------------------------------------- |
| ๐ `jobId` | Internal job identifier |
| ๐ผ `jobTitle` | Job title |
| ๐ `jobUrl` | Direct Computrabajo job URL |
| ๐ข `companyName` | Company name |
| ๐ `companyUrl` | Company profile URL |
| โญ `rating` | Company rating (if available) |
| ๐ `location` | Job location |
| ๐งโ๐ป `workModality` | Work modality (Remote / Hybrid / On-site) |
| โฑ๏ธ `postedTime` | Time since the job was posted |
| โ
`isVerified` | Verified company indicator |
---
### ๐ How to Use
1๏ธโฃ Configure Input
Provide one or more Computrabajo job search keywords:
````
{
"keywords": \[
"ai engineer",
"data analyst",
"software developer"
],
"location": "Capital Federal",
"country": "Argentina",
"maxitems": 50
}
```
2๏ธโฃ Run the Actor
โข Loads job listings for each keyword
โข Automatically paginates search results
โข Extracts structured job data
โข Collects company metadata and ratings
โข Stops when maxitems is reached per keyword
โข Captures verification and modality information
3๏ธโฃ Export the Dataset
Download your results in multiple formats:
โ
JSON
โ
CSV
โ
Excel
โ
XML
โ
HTML
---
### โ๏ธ Input Configuration
#### ๐ฅ Input Example
```
{
"keywords": \[
"ai engineer",
"data analyst",
"software developer"
],
"location": "Capital Federal",
"country": "Argentina",
"maxitems": 50
}
```
#### Input Fields
| Field | Type | Description |
| ---------- | ------- | --------------------------------------------- |
| `keywords` | array | List of Computrabajo search keywords |
| `location` | string | Location exactly as written on Computrabajo |
| `country` | string | Target country for job search |
| `maxitems` | integer | Maximum number of jobs to extract per keyword |
---
### ๐ค Output Example
```
{
"jobId": "987654",
"jobTitle": "AI Engineer",
"jobUrl": "https://www.computrabajo.com.ar/ofertas-de-trabajo/oferta-de-trabajo-ai-engineer",
"companyName": "Tech Solutions SA",
"companyUrl": "https://www.computrabajo.com.ar/empresas/tech-solutions",
"rating": "4.3",
"location": "Capital Federal",
"workModality": "Hybrid",
"postedTime": "2 days ago",
"isVerified": true
}
````
---
### ๐ Output explanation
| Use Case | Description |
| ----------------------------- | ---------------------------------------------- |
| ๐ผ Recruitment Intelligence | Track hiring companies and open roles |
| ๐ HR & Job Market Analytics | Analyze job trends and hiring activity |
| ๐ Geographic Market Analysis | Compare job demand across countries & regions |
| ๐ข Lead Generation | Discover active employers and recruiters |
| ๐ค Automation Pipelines | Feed structured job data into external systems |
---
### ๐ Why Use This Scraper?
๐ Extract Computrabajo job listings at scale
๐ Clean and structured recruitment datasets
๐ผ Monitor hiring activity across Latin America
๐ Analyze job trends by country and location
โก Fully automated pagination & extraction
๐ข Ideal for HR intelligence and recruiting workflows
๐ค Automation-ready for analytics pipelines
---
### โ FAQ
How does this scraper work?
The scraper queries Computrabajo search results using your keywords, location, and country selection, then extracts structured job and company data directly from listing pages.
How accurate is the data?
Data is collected directly from live Computrabajo listings. Every run retrieves fresh job postings and company metadata from the platform.
Can I schedule this to run automatically?
Yes. Use the Apify scheduler to run this actor daily, weekly, or monthly to monitor hiring activity, new job postings, or recruitment trends.
Is it legal to collect this data?
Yes. Publicly accessible job listing data can generally be collected for analytics and research purposes. You are responsible for complying with local laws and platform terms.
Can I use this data for commercial purposes?
Yes. The extracted data can be used for recruitment analytics, lead generation, market intelligence, and commercial applications.
Do I need a paid plan?
Free users can collect limited results per run. Paid Apify plans allow significantly larger extraction volumes.
What happens if the scraper fails?
The scraper includes automatic retry mechanisms and error handling to maximize extraction reliability.
How long does a run take?
Small runs usually finish within seconds. Large keyword lists and higher maxitems configurations may take several minutes.
Does it support bulk keyword searches?
Yes. You can provide multiple keywords in the input configuration and the scraper processes them automatically.
What export formats are supported?
You can export results as JSON, CSV, Excel, XML, and HTML. Data can also be connected to external tools through Apify integrations.
---
### ๐ How to Use
1๏ธโฃ Sign up โ Create a free Apify account
2๏ธโฃ Find the tool โ Search for "Computrabajo Jobs Search Scraper" in the Apify Store
3๏ธโฃ Set your search โ Enter one or more job keywords
4๏ธโฃ Configure location and country
5๏ธโฃ Run it โ Click "Start" and wait for results
6๏ธโฃ Export data โ Download as JSON, CSV, Excel, XML, or HTML
---
### ๐ Supported Countries
๐ฆ๐ท Argentina
๐ฒ๐ฝ Mexico
๐จ๐ด Colombia
๐ต๐ช Peru
๐จ๐ฑ Chile
๐ช๐จ Ecuador
๐ป๐ช Venezuela
๐ต๐ฆ Panama
๐จ๐ท Costa Rica
๐ฌ๐น Guatemala
๐ง๐ด Bolivia
๐บ๐พ Uruguay
๐ฉ๐ด Dominican Republic
๐ณ๐ฎ Nicaragua
๐ธ๐ป El Salvador
๐ต๐พ Paraguay
๐ญ๐ณ Honduras
๐จ๐บ Cuba
๐ต๐ท Puerto Rico
---
### โ ๏ธ Disclaimer
This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by Computrabajo.
---
### ๐ธ Pricing
This scraper runs on a **pay per events subscription model**.
You only pay for **successful runs**.
๐ณ **Price:** $1.49 / 1000 results
---
### Related Actors
If you're interested in other Jobs, Recruitment, Social Media, or Business Intelligence scraping solutions, explore more tools:
(Coming soon)
---
### ๐ฌ Support
โญโญโญโญโญ Leave a 5-star rating if you like this tool
---
### ๐ PrimeScrape
Built for scalable web data extraction & automation
Contact for custom scraping solutions or enterprise requests via Apify or by email.
# Actor input Schema
## `keywords` (type: `array`):
One or more job search keywords.
Examples:
โข ai
โข supervisor
โข supply chain
## `location` (type: `string`):
Location as written on the website (e.g., Cรณrdoba, Capital Federal, Buenos Aires-GBA, Ciudad de Mรฉxico DF, Panamรก). Use exact spelling from Computrabajo website for proper URL construction.
## `country` (type: `string`):
Select the country
## `max_items` (type: `integer`):
Maximum number of job listings to extract per keyword
## Actor input object example
```json
{
"keywords": [
"ai"
],
"location": "Capital Federal",
"country": "Argentina",
"max_items": 60
}
````
# Actor output Schema
## `overview` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"keywords": [
"ai"
],
"location": "Capital Federal",
"country": "Argentina",
"max_items": 60
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/computrabajo-jobs-scraper-economica-low-cost").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// ๐ Want to learn more ๐? Go to โ 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 = {
"keywords": ["ai"],
"location": "Capital Federal",
"country": "Argentina",
"max_items": 60,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/computrabajo-jobs-scraper-economica-low-cost").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"keywords": [
"ai"
],
"location": "Capital Federal",
"country": "Argentina",
"max_items": 60
}' |
apify call delectable_incubator/computrabajo-jobs-scraper-economica-low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/computrabajo-jobs-scraper-economica-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Computrabajo Jobs Scraper - Econรณmica Low-cost๐ฒ๐ฅ๐๐ผ",
"description": "Scrape Computrabajo job listings ๐๐ผ with a powerful job scraper. Extract job titles, company profiles, locations, work modalities, ratings, and employment details. Ideal for job market research, recruitment intelligence, HR analytics, and hiring trend analysis with structured datasets ๐๐",
"version": "0.0",
"x-build-id": "aAK889I15DVbdYeBe"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~computrabajo-jobs-scraper-economica-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-computrabajo-jobs-scraper-economica-low-cost",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~computrabajo-jobs-scraper-economica-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-computrabajo-jobs-scraper-economica-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~computrabajo-jobs-scraper-economica-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-computrabajo-jobs-scraper-economica-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"keywords",
"location",
"country"
],
"properties": {
"keywords": {
"title": "Search Keywords",
"type": "array",
"description": "One or more job search keywords.\n\nExamples:\nโข ai\nโข supervisor\nโข supply chain",
"items": {
"type": "string"
},
"default": [
"ai"
]
},
"location": {
"title": "Location",
"type": "string",
"description": "Location as written on the website (e.g., Cรณrdoba, Capital Federal, Buenos Aires-GBA, Ciudad de Mรฉxico DF, Panamรก). Use exact spelling from Computrabajo website for proper URL construction.",
"default": "Capital Federal"
},
"country": {
"title": "Country",
"enum": [
"Argentina",
"Mexico",
"Colombia",
"Peru",
"Chile",
"Ecuador",
"Venezuela",
"Panama",
"Costa Rica",
"Guatemala",
"Bolivia",
"Uruguay",
"Dominican Republic",
"Nicaragua",
"El Salvador",
"Paraguay",
"Honduras",
"Cuba",
"Puerto Rico"
],
"type": "string",
"description": "Select the country",
"default": "Argentina"
},
"max_items": {
"title": "Maximum Jobs per Keyword",
"type": "integer",
"description": "Maximum number of job listings to extract per keyword",
"default": 60
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```