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Coppel Product Details Scraper

The Coppel product details scraper exports individual Coppel product pages into a clean CSV for retail research, catalog checks, and price monitoring. Import the workflow into the UScraper local desktop app, add product URLs, and collect SKU, model, availability, price, discount, feature, and image URL fields without writing crawler code.

Output

CSV

Columns

13

Inputs

Product URLs

Waits

Built in

Template

Free

At a glance

Export Coppel product details to CSV

This template is built for product detail pages rather than category listings. Use it after collecting product URLs from the Coppel listing scraper, a manual shortlist, or an approved internal catalog review queue.

During validation, direct automated Coppel navigation returned HTTP/2 and access-denied responses in some environments. The bundled workflow therefore uses a readable endpoint pattern and a best-effort parser. When full page text is available, it extracts richer price, availability, and feature details. When Coppel blocks the response, it still derives useful identifiers such as SKU, model text from the URL slug, and likely Coppel CDN image URLs from the product ID.

Normalize product-detail rows

Turn each product URL into one structured row with SKU, model, price fields, availability, characteristics, and up to five image URLs.

Open the export anywhere

Use the CSV in Excel, Google Sheets, BI tools, catalog QA, price checks, or downstream enrichment scripts.

Loop through URL batches

Replace the two sample refrigerator URLs with your own product-detail list and let Loop Continue advance through the configured inputs.

Keep runs local

The workflow runs in the desktop app and writes the export to your configured folder unless you add your own sharing or upload block.

Who it is for

Coppel product scraper use cases

Retail analysts

Price and assortment reviews

Favorable to scraping

Export Coppel products to CSV so current price, original price, discount copy, and availability can be compared against other Mexico retail channels.

Catalog teams

Product data QA

Favorable to scraping

Check SKU, model naming, image coverage, and feature text before routing selected rows into PIM, merchandising, or enrichment workflows.

Agencies and researchers

Repeatable evidence

Favorable to scraping

Keep a timestamped CSV export beside campaign notes, marketplace audits, or competitor snapshots instead of copying product pages by hand.

For a broader ecommerce workflow, pair this details page with the Costco product details scraper, Carrefour data scraper, and Coto Digital product detail scraper. Browse the UScraper template library when you need sibling marketplace extractors.


How to use

Run the Coppel details scraper workflow

1

Download and import

Download the hosted Coppel details scraper JSON and import it into UScraper.

2

Replace the product URLs

Edit the Navigate block with Coppel product-detail URLs from your approved list. Keep one URL per loop input.

3

Confirm waits and fallback behavior

The workflow waits for page load, checks the body, pauses briefly, and then injects a normalized export row.

4

Set the save folder

Structured Export writes coppel-detalles-scraper.csv in append mode with headers enabled. Change the folder before running client-specific batches.

5

Run and spot-check

Open the CSV, verify the first few product rows against source pages, and rerun with slower pacing if prices or availability are blank.

Output preview

What the Coppel details export contains

coppel-detalles-scraper.csv
CSV - UTF-8 - Append

Column

SKU

Product identifier derived from the Coppel URL or page text.

Column

Modelo

Product model or cleaned title, with URL-slug fallback when the page is blocked.

Column

Disponibilidad

Availability wording such as Disponible, Agotado, or No disponible when visible.

Column

Precio

Current price parsed from readable page text when available.

Column

Precio_original

Second price candidate, often a previous or crossed price.

Column

Descuento

Discount or savings text detected near pricing.

Column

Talle

Derived attributes such as capacity or color when present in the model or slug.

Column

Características

Feature lines or fallback notes explaining blocked fields.

Column

Imagen1

Primary Coppel CDN image URL.

Column

Imagen2

Secondary Coppel CDN image URL.

Column

Imagen3

Additional Coppel CDN image URL.

Column

Imagen4

Additional Coppel CDN image URL.

Column

Imagen5

Additional Coppel CDN image URL.

Sample rows

1 of many

SKUModeloDisponibilidadPrecioPrecio_originalDescuentoTalleCaracterísticasImagen1Imagen2Imagen3Imagen4Imagen5
661041Refrigerador Inverter Whirlpool Top Mount 9 Pies SilverDisponible$8,999$10,499Ahorra $1,500Capacidad: 9 pies | Color: SilverMarca: Whirlpool | Tipo de producto: Refrigerador
Headers included - each configured product URL appends one normalized row

Frequently asked questions

Only collect Coppel pages you are allowed to access and review Coppel terms, robots guidance, marketplace rules, copyright, privacy law, and local requirements before using exported product data commercially. Do not bypass login walls, CAPTCHA, bot protection, or other technical restrictions.

Before you run

Limits, access, and maintenance notes

Coppel details scraper guardrails

Access

Coppel may block direct automated loads

Keep the readable-endpoint fallback in place unless your own browser profile reliably loads the product pages. Blank price fields usually mean page text was not available.

Pacing

Avoid heavy parallel batches

Use modest URL lists, add longer waits when responses slow down, and avoid retry storms. Pause if Coppel returns access-denied, verification, or unusual response pages.

Layout

Selectors and text patterns can drift

Review the first rows after Coppel redesigns product pages, changes CDN image paths, or moves price and availability copy into scripts that are not visible as page text.

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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Available on Windows 10+ and macOS 12+ · Need help? [email protected]