Carrefour Data Scraper

📌 What can you collect with Carrefour Data Scraper?

This template collects product information (price, brand, description, etc.) from carrefour using URLs of listing page as input.

Data is collected from Carrefour. Carrefour is an online platform where users publish or discover profiles, posts, engagement, and public content.

💰 Pricing

This template currently has no per-line charge.

📦 Output

Carrefour Data Scraper returns these fields:

• Prix
• Prix_ancien
• Prix_unité
• Titre
• Sous_titre
• Rating
• Nombre_de_commentaire
• Image
• URL_de_la_page_détaillée

Example Data Preview:

{
  "Prix": "3,99 €",
  "Prix_ancien": null,
  "Prix_unité": null,
  "Titre": "Vin Rouge A.O.P. Côtes-Du-Rhône LA CAVE D'AUGUSTIN FLORENT \"LES PIERRASQUES\"",
  "Sous_titre": null,
  "Rating": "4.04 sur 5",
  "Nombre_de_commentaire": "53",
  "Image": "https://media.carrefour.fr/medias/c37aa0721936394c861f3727d410e936/p_200x200/03245414879164-c1n1-s01.jpg",
  "URL_de_la_page_détaillée": "https://www.carrefour.fr/p/vin-rouge-a-o-p-cotes-du-rhone-la-cave-d-augustin-florent-les-pierrasques-3245414879164"
}

🎯 Use Cases

• Track public profiles, posts, content, and engagement signals.
• Compare content or account activity across submitted inputs.
• Build structured datasets for audience, brand, or topic research.
• Export URLs and public metrics for reporting or downstream AI workflows.

🐙 Why Octoparse

• Ready-to-use Carrefour workflow: Enter URLs, run Carrefour Data Scraper, and review the structured rows returned for each source record.
• Useful results: The returned Prix, Prix ancien, Prix unité, Titre, Sous titre, Rating, Nombre de commentaire, Image, and URL de la page détaillée 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

• URLs (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

• Carrefour Data Scraper runs locally, so keep your computer and Octoparse open while the task is running.
• Fields such as Nombre de commentaire, Image, and URL de la page détaillée 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 to reduce unrelated or duplicate records.
• Use a stable URL or identifier from Prix, Prix ancien, Prix unité, Titre, Sous titre, Rating, Nombre de commentaire, Image, and URL de la page détaillée as the deduplication key when available.

❓ FAQ

Does Carrefour Data Scraper analyze the collected data?

No. It collects structured source data. Analysis can be performed after export or in a downstream reporting or AI workflow.

Can I schedule and export data collected by Carrefour Data Scraper?

Yes. You can schedule Carrefour Data 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 Carrefour Data 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

• Amazon Product Listing Scraper (for France) - Use Amazon Product Listing Scraper (for France) for a comparable ecommerce collection scenario on another source.
• Amazon Reviews Scraper (JP) - Use Amazon Reviews Scraper (JP) for a comparable ecommerce collection scenario on another source.