Universia Job Details Scraper

📌 What can you collect with Universia Job Details Scraper?

This template collects the information (available countries: Spain,Mexico,Argentina,Peru etc) of the job in Universia by keywords.

Data is collected from Universia. Universia is a job and employment platform where people discover roles, employers, locations, salaries, and application information.

💰 Pricing

This template currently has no per-line charge.

📦 Output

Universia Job Details Scraper returns these fields:

• Título
• Empresa
• Localidad
• Publicidad
• Modalidad
• Contrato
• Remuneración
• Jornada
• Horario
• Descripción
• Información
• Requisito

Example Data Preview:

{
  "Título": "Ingeniero de Plataforma",
  "Empresa": "TICMAS",
  "Localidad": "Cdad. Autónoma de Buenos Aires, Argentina",
  "Publicidad": "7 días",
  "Modalidad": "Híbrido (remoto y presencial)",
  "Contrato": "Contrato indefinido",
  "Remuneración": "Sin especificar",
  "Jornada": "Jornada completa",
  "Horario": "Sin especificar",
  "Descripción": "¡Únete a nuestro equipo en Ticmas, una empresa líder en productos educativos! Estamos en la búsqueda de un Ingeniero de Plataforma con habilidades sólidas en AWS, Terraform, Ansible, Python y diseño de arquitecturas para fortalecer nuestro equipo.",
  "Información": null,
  "Requisito": "Experiencia De 3 a 5 años Competencias"
}

🎯 Use Cases

• Build job datasets for role, employer, location, and compensation research.
• Compare hiring activity across searches, companies, or locations.
• Monitor new or changing vacancies over repeated runs.
• Export job URLs and structured fields for recruiting or market-analysis workflows.

🐙 Why Octoparse

• Ready-to-use Universia workflow: Enter Confirm, Job; City(Region) (up to 100), run Universia Job Details Scraper, and review the structured rows returned for each source record.
• Useful results: The returned Título, Empresa, Localidad, Publicidad, Modalidad, Contrato, Remuneración, Jornada, Horario, and Descripción fields support comparison, monitoring, and reusable data workflows.
• Local runs: Run this template locally with the Octoparse desktop app.
• Export and reuse: Export the rows to CSV, Excel, JSON, databases, or cloud storage, or send them to reporting and AI workflows through Octoparse APIs.

You can schedule recurring runs, export the collected data, and reuse it through Octoparse OpenAPI or the AgentTools API. Scheduling and API access may require a paid Octoparse plan.

📝 Input

• Confirm (required): Enter one or more values, one per line.
• Job; City(Region) (up to 100) (required): Enter one or more values, one per line.

🚀 How to Use

1. Open the template and select Try it or Start.
2. Complete the input fields listed above.
3. Run the task locally.
4. Review the output rows and export or process the structured data.

⚠️ Limitations

• Universia Job Details Scraper runs locally, so keep your computer and Octoparse open while the task is running.
• Fields such as Descripción, Información, and Requisito can be empty when the source record does not provide them.

💡 Tips

• Start with one or a few inputs and review the returned rows before scaling the task.
• Use the most specific valid Confirm to reduce unrelated or duplicate records.
• Use a stable URL or identifier from Título, Empresa, Localidad, Publicidad, Modalidad, Contrato, Remuneración, Jornada, Horario, and Descripción as the deduplication key when available.

❓ FAQ

Does Universia Job Details Scraper collect reviews or comments?

No. It collects the detail-page fields shown in Output, not a complete review or comment history.

Can I schedule and export data collected by Universia Job Details Scraper?

Yes. You can schedule Universia Job Details Scraper as a local run and export the collected data from Octoparse. Keep your computer and Octoparse open during scheduled local runs. Scheduling may require a paid Octoparse plan.

How much does Universia Job Details Scraper cost?

This template is currently free of charge and has no per-line usage fee. Octoparse plan or resource limits may still apply.

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