Elektra Details Scraper
📌 What can you collect with Elektra Details Scraper?
This template collects product information of Elektra by products urls.
Data is collected from Elektra. Elektra is a business discovery or information service where users find organizations, locations, contact details, and public listing data.
💰 Pricing
This template currently has no per-line charge.
📦 Output
Elektra Details Scraper returns these fields:
SKUMarcaModeloNombre_del_productoPrecioPrecio_OriginalTalleImagen1Imagen2Imagen3Imagen4Imagen5Información_General
Example Output:
{
"SKU": "1500635609",
"Marca": "LOBO SOLO",
"Modelo": null,
"Nombre_del_producto": "BOTINES CASUALES PARA DAMA LOBO SOLO 5053 PIEL CAFÉ",
"Precio": "$1,149",
"Precio_Original": null,
"Talle": "23, 24, 25, 26",
"Imagen1": "https://elektra.vtexassets.com/arquivos/ids/3443580-800-auto?v=638338274116900000&width=150&height=150&aspect=true",
"Imagen2": "https://elektra.vtexassets.com/arquivos/ids/3443578-800-auto?v=638338274121400000&width=150&height=150&aspect=true",
"Imagen3": "https://elektra.vtexassets.com/arquivos/ids/3443579-800-auto?v=638338274125170000&width=150&height=150&aspect=true",
"Imagen4": null,
"Imagen5": null,
"Información_General": null
}
🎯 Use Cases
- Build business or organization lists with public identity, location, and contact fields.
- Compare listings across categories, searches, or locations.
- Maintain directory, supplier, partner, or lead-research datasets.
- Export source URLs and structured records for verification or enrichment workflows.
🐙 Why Octoparse
- Ready-to-use Elektra workflow: Enter URLs of products, run Elektra Details Scraper, and review the structured rows returned for each source record.
- Useful results: The returned SKU, Marca, Modelo, Nombre del producto, Precio, Precio Original, Talle, Imagen1, Imagen2, and Imagen3 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.
Input and Output
Input
Output
📝 Input
- URLs of products (required): Enter one or more values, one per line.
🚀 How to Use
- Open the template and select Try it or Start.
- Complete the input fields listed above.
- Choose a local or cloud run.
- Review the output rows and export or process the structured data.
⚠️ Limitations
- Elektra Details Scraper collects the fields listed in Output from detail pages; it does not add data that Elektra does not display.
- Fields such as Imagen4, Imagen5, and Información General 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 URLs of products to reduce unrelated or duplicate records.
- Use a stable URL or identifier from SKU, Marca, Modelo, Nombre del producto, Precio, Precio Original, Talle, Imagen1, Imagen2, and Imagen3 as the deduplication key when available.
❓ FAQ
Does Elektra 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 Elektra Details Scraper?
Yes. You can schedule Elektra Details Scraper 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 Elektra 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.
🔗 Related Templates
- Elektra Listing Scraper - Use Elektra Listing Scraper first, then pass its
urlvalues into this template. - Amazon Product Listing Scraper (for France) - Use Amazon Product Listing Scraper (for France) for a comparable ecommerce collection scenario on another source.
