Tupi Scraper by Keywords

Tupi Scraper by Keywords

📌 What can you collect with Tupi Scraper by Keywords?

This template collects products information from Tupi.

Data is collected from Py. Py is a shopping or marketplace service where users discover products, compare offers, prices, ratings, and availability.

💰 Pricing

This template currently has no per-line charge.

📦 Output

Tupi Scraper by Keywords returns these fields:

• Palabras_Clave
• Nombre
• Precio_Contado
• Precio_Cuotas
• Stock
• Codigo
• Imagen

Example Output:

{
  "Palabras_Clave": "Vinos",
  "Nombre": "COPA RIEDEL BAR VINOS Y COCTELES - 2 UNIDADES ver detalles",
  "Precio_Contado": "Gs. 213.000",
  "Precio_Cuotas": "3x Gs. 80.000",
  "Stock": null,
  "Codigo": "MKP008386",
  "Imagen": "https://www.tupi.com.py/imagen_articulo/MKP008386__320__320__COPA-RIEDEL-BAR-VINOS-Y-COCTELES---2-UNIDADES-"
}

🎯 Use Cases

• Compare products, prices, ratings, availability, and offers across collected pages.
• Monitor assortment and pricing changes over repeated runs.
• Build product URL or identifier lists for catalog and competitive research.
• Export structured product rows for reporting, enrichment, or downstream analysis.

🐙 Why Octoparse

• Ready-to-use Py workflow: Enter Keywords(up to 100), run Tupi Scraper by Keywords, and review the structured rows returned for each source record.
• Useful results: The returned Palabras Clave, Nombre, Precio Contado, Precio Cuotas, Stock, Codigo, and Imagen fields support comparison, monitoring, and reusable data workflows.
• Local or cloud runs: Run this template locally or in the cloud.
• 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.

{
  "keywords": [
    "Vinos",
    "Quesos",
    "Jamón ibérico",
    "Aceite de oliva",
    "Chocolates"
  ]
}

[
  {
    "Codigo": "207780",
    "Imagen": "https://www.tupi.com.py/imagen_articulo/207780__320__320__ENFRIADOR-DE-VINOS-NAPPO-8-BOTELLAS-NEE-325-?t=f96eb17-",
    "Nombre": "\n\n                        \n                        ENFRIADOR DE VINOS NAPPO 8 BOTELLAS NEE-325  ver detalles \n                        ",
    "Palabras_Clave": "Vinos",
    "Precio_Contado": "Gs. 1.059.000",
    "Precio_Cuotas": " 15x Gs. 121.000 ",
    "Stock": "En Stock"
  }
]

📝 Input

• Keywords(up to 100) (optional): 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. Choose a local or cloud run.
4. Review the output rows and export or process the structured data.

⚠️ Limitations

• Tupi Scraper by Keywords collects the fields listed in Output from search results pages; it does not add data that Py does not display.
• Fields such as Stock, Codigo, and Imagen 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 Keywords(up to 100) to reduce unrelated or duplicate records.
• Use a stable URL or identifier from Palabras Clave, Nombre, Precio Contado, Precio Cuotas, Stock, Codigo, and Imagen as the deduplication key when available.

❓ FAQ

Does Tupi Scraper by Keywords collect complete detail-page data?

No. It collects the listing or search-result fields shown in Output; use a detail-page template when deeper record data is required.

Can I schedule and export data collected by Tupi Scraper by Keywords?

Yes. You can schedule Tupi Scraper by Keywords to run locally or in the cloud and export the collected data from Octoparse. Keep your computer and Octoparse open for local scheduled runs. Scheduling may require a paid Octoparse plan.

How much does Tupi Scraper by Keywords 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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