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Coppel Listing Scraper

The Coppel listing scraper turns Coppel category and offer listings into a structured CSV export. Import the workflow into the UScraper desktop app to collect product titles, current prices, original prices, cuota or installment text, image URLs, and product URLs without writing scraper code.

Output

CSV

Columns

6

Inputs

4 URLs

Workflow

8 links

Template

Free

At a glance

Scrape Coppel product listings into CSV

This template is built for Coppel listing pages, not a deep product-detail crawl. It uses Reader-wrapped Coppel category URLs because direct browser navigation to www.coppel.com returned HTTP/2 protocol errors during validation.

The automation is easy to audit: Navigate -> wait for page load -> wait for body text -> pause briefly -> parse product-like rows -> wait for generated rows -> structured export -> continue the URL loop. The parser finds Coppel product links, nearby prices, cuota text, image URLs, and titles while skipping navigation labels and listing filters.

Collect Coppel listing data

Capture product names, prices, installment copy, images, and item URLs from Coppel category pages.

Export Coppel products to CSV

Open the finished file in Excel, Google Sheets, a database, or a catalog-monitoring workflow.

Append multiple listing pages

The bundled Navigate block loops through four beginIndex URLs and writes every parsed result into one CSV.

Keep the workflow local

Your run happens in the local desktop app, and the CSV lands in the folder configured in Structured Export.

Who it is for

Built for Coppel ecommerce research

Marketplace analysts

Assortment scans

Favorable to scraping

Use a Coppel product scraper to compare visible assortment against Elektra, Liverpool, MercadoLibre, or other Mexico retail channels.

Pricing teams

Offer reviews

Favorable to scraping

Export Coppel products with current price, original price, and cuota text so promotion changes can be reviewed in a spreadsheet before deeper validation.

Catalog operations

URL queues

Favorable to scraping

Collect product and image URLs, then route selected rows into enrichment, QA, or a detail-page workflow.


How to use

Run the Coppel product scraper

1

Download and import

Download the hosted JSON template from this page, then import it into UScraper.

2

Review the listing URLs

Replace the sample Reader-wrapped category URLs if you want a different department, offer page, or result set.

3

Run one test loop

Start with the bundled URL list, confirm product rows appear, and compare the first CSV rows against the page text.

4

Check the export path

Structured Export writes coppel_listados_scraper_clean.csv in append mode. Change the save folder before scaling a batch.

5

Export and analyze

Let the loop finish, then open the CSV for filtering, deduplication, or price checks.

Output preview

What the Coppel listing export contains

coppel_listados_scraper_clean.csv
CSV - UTF-8 - Append

Column

titulo

Product title parsed from the Coppel product link or URL slug.

Column

precio

Current visible product price when available.

Column

precio_original

Second visible amount, often an original or crossed price.

Column

cuota

Installment text such as quincenal payment wording.

Column

imagen_url

Primary Coppel product image URL detected near the row.

Column

producto_url

Absolute Coppel product detail URL.

Sample rows

2 of many

tituloprecioprecio_originalcuotaimagen_urlproducto_url
Camara Inteligente WiFi 1080p$599$799Desde $30 quincenal
Foco LED Smart Multicolor$199Desde $10 quincenal
Headers included - each configured Coppel listing URL appends matching product rows

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, maintenance, and compliant use

Coppel listing scraper guardrails

Access

Direct Coppel browsing may require a different profile

Direct navigation to Coppel failed with HTTP/2 protocol errors during validation, so the bundled template uses Reader-wrapped listing URLs. Use a browser, proxy, or network profile that can load Coppel directly if you need direct-site extraction.

Pacing

Keep batches conservative

Avoid heavy parallel runs. Add longer waits or split URL lists if rows disappear, Reader responses slow down, or Coppel changes how listing pages render.

Layout

Watch for empty titles or prices

Product URL formats, price placement, image markup, and listing filters can change. Empty CSV fields usually mean the parser or row filters need a quick refresh.

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.

Contribute on GitHub

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FAQ

Frequently asked questions

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