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Universia Job Details Scraper

The Universia Job Details Scraper exports Universia jobs into a structured CSV for recruiting research, labor-market tracking, and spreadsheet review. Import the workflow into the UScraper local desktop app, adjust the Universia search URL, and collect title, company, location, modality, contract, salary, schedule, description, requirements, and source URL without writing a custom crawler.

Output

CSV file

Columns

13

Detail limit

Up to 80 URLs

Waits

Built in

Template

Free import

At a glance

Export Universia job details to CSV

Detailed job fields

Capture the fields recruiters and analysts usually copy manually: title, employer, locality, publication date, work modality, contract, compensation, workday, schedule, description, extra information, requirements, and URL.

Search page plus detail pages

The workflow starts from a Universia results URL, waits for job links, then opens each matching detail page so the CSV includes richer data than a listing-only scrape.

Local desktop execution

Search URL configuration, page loading, hidden-frame parsing, and CSV writing happen in your desktop workflow. You choose the query, location, save folder, and review process.

Structured fallbacks

The extraction helper checks JobPosting JSON-LD first, then visible labels and text patterns, with filters for cookie/footer copy and conservative modality inference.

Who uses it

Use cases for Universia job data

Recruiting teams

Talent-market checks

Favorable to scraping

Scrape Universia jobs for a target role and location, then filter the CSV by company, contract type, modality, schedule, and requirements before deciding which postings deserve deeper review.

Labor-market analysts

Regional hiring snapshots

Favorable to scraping

Export Universia Argentina jobs for repeatable keyword studies, such as engineering roles in Buenos Aires, and join the rows with internal category or salary-band spreadsheets.


How to use

Scrape Universia jobs in five steps

1

Download and import

Download the hosted Universia template JSON, then import it into UScraper.

2

Set the search URL

Open the Navigate block and replace the sample Argentina URL with the Universia country, keyword, and location you are allowed to process.

3

Keep the waits in place

The workflow waits for page load, handles the cookie button when it appears, pauses briefly, and waits for Universia job links before extraction begins.

4

Run the detail parser

UScraper injects a helper that loops through job links, opens each detail URL in a hidden iframe, parses structured data and rendered text, then creates hidden extraction rows.

5

Open the CSV

Structured Export creates universia-detalles-de-empleo-scraper.csv with headers. Spot-check row count, blank fields, and source URLs before using the data.

Output preview

What the Universia CSV includes

universia-detalles-de-empleo-scraper.csv
CSV - UTF-8 - Create

Column

titulo

Job title from JobPosting data, the detail heading, listing anchor text, or URL slug fallback.

Column

empresa

Hiring organization from JSON-LD, visible company labels, or listing-card fallback.

Column

localidad

City, region, country, or visible workplace text such as Buenos Aires, CABA, or Argentina.

Column

publicidad

Published date, visible time text, or relative posting age when available.

Column

modalidad

Remote, hybrid, or in-person value inferred only from explicit labels, URL hints, or description text.

Column

contrato

Contract type such as indefinido, temporal, practicas, pasantia, freelance, or similar page text.

Column

remuneracion

Salary, wage, currency, baseSalary value, or Sin especificar when displayed.

Column

jornada

Workday or employment type, including mapped FULL_TIME and PART_TIME structured-data values.

Column

horario

Schedule text detected from labels or day-of-week phrases.

Column

descripcion

Main job description from structured data, meta description, or visible page content.

Column

informacion

Extra information such as experience, study level, language, or conditions text.

Column

requisito

Requirements, skills, responsibilities, competencies, or qualifications text.

Column

url

Original Universia job-detail URL for audit and review.

Sample rows

2 of many

tituloempresalocalidadpublicidadmodalidadcontratoremuneracionjornadahorariodescripcioninformacionrequisitourl
Ingeniero de proyectosEmpresa Industrial EjemploBuenos Aires, Argentina3 diasPresencialContrato indefinidoSin especificarJornada completaLunes a viernesCoordinar proyectos tecnicos, proveedores y reportes de avance para operaciones.Experiencia en procesos industriales y manejo de documentacion tecnica.Ingenieria, Excel avanzado, capacidad analitica y comunicacion clara.
Analista de calidad juniorServicios Tecnicos DemoCdad. Autonoma de Buenos Aires1 diaHibrido (remoto y presencial)PasantiaARS 450000 mensualJornada parcial20 hs semanalesApoyar controles de calidad, registro de incidencias y seguimiento de indicadores.Estudiante avanzado de ingenieria o carreras afines.Atencion al detalle, manejo de planillas y disponibilidad parcial.
Headers included - one row per processed Universia detail URL - sample values are illustrative

Frequently asked questions

Universia job pages may be publicly visible, but automated collection can still be limited by Universia terms, robots guidance, copyright, privacy law, employment-data rules, and local regulations. Review the source policies, keep volume modest, do not bypass access controls, and get legal review before using exported rows commercially.

Before you scale

Limits and maintenance notes

Practical guardrails for Universia exports

Rate limits

Run polite, reviewable batches

Keep the page-load wait, cookie branch, and post-consent sleep in place. Avoid parallel runs against the same source and slow the workflow down if Universia responses become inconsistent.

Layout drift

Detail pages can change

Empty employer, modality, salary, or requirement fields usually mean the page changed, the posting exposes less data, or a detail URL no longer renders the expected job content.

Pagination

The sample run did not use next-page crawling

Live testing found available job links on the loaded results page and no enabled next-page control. If Universia changes pagination, add an explicit page loop and validate row counts before scaling.

Policy

Review source rules before reuse

Local execution helps with custody, but it does not grant permission to republish, resell, or over-collect job data. Review Universia policies and your own compliance requirements first.

Use the UScraper template library for related workflows, install the app from UScraper download, or pair this page with job-board templates such as InfoJobs Listing Scraper when you need more coverage.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

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