Computrabajo Jobs Scraper

Extract job listings from Computrabajo across Latin America with structured, export-ready output. Collect job titles, companies, locations, salary details, posting dates, tags, and descriptions in one automated run. Built for recruitment teams, market analysts, and job intelligence workflows.

Features

• Multi-country coverage — Scrape Computrabajo listings from major LATAM markets.
• Complete job records — Collect core fields and enriched listing details in one dataset.
• Pagination support — Continue through result pages automatically until your target is reached.
• Deduplicated output — Reduce duplicate records during collection.
• Flexible exports — Download results as JSON, CSV, and other Apify-supported formats.
• Proxy-ready runs — Use proxy configuration for more stable large-scale extraction.

Use Cases

Recruitment Pipeline Building

Create fresh job datasets for candidate sourcing and talent mapping by country, city, or role category. Keep internal recruiting dashboards up to date without manual copy-paste.

Labor Market Analysis

Track demand signals across industries using volume, location, and job type data. Compare hiring trends over time for workforce planning and reporting.

Competitive Hiring Monitoring

Follow hiring activity from specific companies or sectors. Use repeated runs to detect changes in open roles and expansion patterns.

Job Aggregator Data Feeds

Populate external job boards, lead databases, or internal search tools with normalized job listing data. Export results in formats your downstream tools already support.

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Input Parameters

Parameter	Type	Required	Default	Description
searchUrl	String	Yes	https://ar.computrabajo.com/empleos-de-administracion-y-oficina	Direct Computrabajo results URL to scrape.
maxJobs	Integer	No	20	Maximum jobs to collect. Use 0 for an expanded run up to platform limits.
includeFullDescription	Boolean	No	true	Include extended description content when available.
proxyConfiguration	Object	No	Apify Residential Proxy preset	Proxy settings for improved reliability on protected pages.

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Output Data

Each dataset item can include:

Field	Type	Description
id	String	Listing identifier when available.
title	String	Job title.
company	String	Hiring company name.
companyId	String	Company identifier when available.
location	String	Job location (city/region).
salary	String	Salary text or normalized range when provided.
jobType	String	Employment type or contract label.
postedDate	String	Posted date label from the listing.
updatedAt	String	Last update timestamp/label when available.
descriptionHtml	String	Rich job description content.
descriptionText	String	Plain-text description.
applyUrl	String	Application URL when available.
tags	Array	Skills or keywords attached to the listing.
url	String	Direct listing URL.
source	String	Source reference for extracted record type.
scrapedAt	String	ISO timestamp of extraction.

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Usage Examples

Basic Run

Collect the first 20 jobs from a category URL:

{
    "searchUrl": "https://ar.computrabajo.com/empleos-de-administracion-y-oficina",
    "maxJobs": 20
}

Country-Specific Hiring Snapshot

Collect up to 80 listings from a technology vertical:

{
    "searchUrl": "https://mx.computrabajo.com/empleos-de-tecnologia-sistemas",
    "maxJobs": 80,
    "includeFullDescription": true
}

Proxy-Enabled Production Run

Use residential proxies for improved reliability at scale:

{
    "searchUrl": "https://co.computrabajo.com/empleos-de-ventas-en-bogota",
    "maxJobs": 150,
    "includeFullDescription": true,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

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Sample Output

{
    "id": "F5DDB4D356B9B34A61373E686DCF3405",
    "title": "Analista de Reclutamiento",
    "company": "Empresa ABC",
    "location": "Bogota, Cundinamarca",
    "salary": "3000000 - 4200000 COP",
    "jobType": "Tiempo completo",
    "postedDate": "Hace 2 dias",
    "descriptionText": "Importante compania del sector requiere analista de reclutamiento...",
    "tags": ["reclutamiento", "talento humano", "seleccion"],
    "url": "https://co.computrabajo.com/ofertas-de-trabajo/oferta-de-trabajo-de-analista-de-reclutamiento-F5DDB4D356B9B34A61373E686DCF3405",
    "scrapedAt": "2026-02-19T09:30:22.145Z"
}

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Tips for Best Results

Start with a Real Results URL

• Open Computrabajo in your browser and copy a working results URL.
• Prefer category/search pages with active listings.

Keep Initial Runs Small

• Begin with maxJobs: 20 to validate inputs quickly.
• Increase limits after confirming the output structure you need.

Use Proxy Configuration for Larger Runs

• Enable residential proxies for better stability during longer sessions.
• Keep country/domain alignment in your searchUrl for consistent results.

Plan Recurring Collection

• Schedule runs daily or weekly to monitor hiring changes.
• Use consistent URLs between runs for cleaner trend comparisons.

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Integrations

Connect your dataset with:

• Google Sheets — Share and review extracted jobs with non-technical teams.
• Airtable — Build searchable hiring intelligence bases.
• Looker Studio / BI tools — Visualize role and location trends.
• Webhooks — Trigger downstream workflows after each run.
• Zapier / Make — Automate no-code pipelines.

Export Formats

• JSON — API and custom application workflows.
• CSV — Spreadsheet and analytics workflows.
• Excel — Business reporting and stakeholder handoff.
• XML — Legacy integrations where needed.

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Frequently Asked Questions

How many jobs can I collect in one run?

Set maxJobs to your target. For QA and fast validation, start with 20, then scale up as needed.

Can I scrape any Computrabajo country domain?

Yes. Use a valid Computrabajo URL for your target country (for example ar, mx, co, pe, cl domains).

Why do some records have missing fields?

Some listings do not publish every attribute (for example salary or tags). Missing fields are normal and source-dependent.

Is proxy configuration required?

Small tests may work without advanced setup, but proxy configuration is recommended for higher reliability and larger runs.

Can I schedule this actor?

Yes. You can run on-demand or schedule recurring runs in Apify to maintain fresh job datasets.

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Support

For issues or feature requests, use the Apify Console issue/support channels for this actor.

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

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Legal Notice

This actor is intended for legitimate data collection and research workflows. You are responsible for complying with website terms, local laws, and data-use requirements in your jurisdiction.