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The Mercadona product scraper turns a Mercadona search page into a structured CSV for catalog, pricing, and availability research. The default workflow searches for Chocolate with postal code 28042, handles the location prompt when it appears, scrolls through lazy-loaded results, and exports product names, descriptions, cleaned prices, image URLs, postal code, and result counts from the local desktop app.
CSV
6
Auto-scroll
Chocolate
Local app
At a glance
Search-driven product capture
Start from a Mercadona search URL such as /search-results?query=Chocolate. The template waits for the product grid, then treats each visible product card as one export row.
Export Mercadona products to CSV
The Structured Export block writes a clean spreadsheet with postal code, result count, product name, product description, price, and image source in fixed columns.
Handles lazy-loaded pages
Mercadona results can appear as the page scrolls. The workflow injects a controlled scroll loop, waits while new cards load, and exports after the listing stabilizes.
Runs inside your desktop session
UScraper drives your browser locally, so keywords, product exports, and review steps stay on your machine unless you choose to move the CSV elsewhere.
Who uses it
Retail pricing analysts
Weekly checks
Track visible Mercadona prices for chocolate, coffee, prepared food, frozen items, or category-specific searches. The CSV gives analysts a repeatable input for price-band reviews and assortment snapshots.
Grocery market researchers
Catalog studies
Compare which products appear for different search terms or locations, then keep product names, descriptions, and images in one spreadsheet for manual QA.
E-commerce operators
Competitive monitoring
Pair this workflow with the REWE scraper, Olimpica listing scraper, or Noon listing scraper when building a broader grocery or retail product dataset.
Automation flow
Navigate - wait - scroll - export. The graph opens the Mercadona search page, waits for load, checks whether a postal-code field is present, then continues to the product grid before exporting rows.
How to use
Download the template
Use the download button for the hosted JSON file and import it into the UScraper desktop app.
Set your search term
Keep the default Chocolate query for a first test, or edit the Navigate URL to scrape Mercadona products for another term such as coffee, beer, fruit, or prepared food.
Confirm the postal code
Replace 28042 if your research depends on another delivery area or store availability zone.
Choose the export folder
Keep the default file name or point Structured Export to a project folder used by your pricing or catalog team.
Run and open the output
Let UScraper load, scroll, and export. Open mercadona-scraper.csv and check the first rows before scaling.
Output preview
mercadona-scraper.csvColumn
codigo_postal
Postal code used for the search context.
Column
cantidad_resultados
Detected product-card count for the run.
Column
nombre
Visible Mercadona product name.
Column
descripcion_del_producto
Format, unit, or extra product description when shown.
Column
precio
Cleaned product price text.
Column
imagen
Product image URL from the listing card.
Sample rows
2 of many
| codigo_postal | cantidad_resultados | nombre | descripcion_del_producto | precio | imagen |
|---|---|---|---|---|---|
| 28042 | 48 | Chocolate negro 72% | Tableta 100 g | 1,45 EUR | |
| 28042 | 48 | Cacao soluble | Bote 400 g | 2,35 EUR |
This UScraper template
LocalHosted scraper actors
CloudYour desktop browser session
Good for reviewable runs and small monitored batches.
Vendor servers
Useful for scale, but less direct control over runtime context.
CSV in your chosen folder
Open directly in spreadsheet tools.
Cloud dashboard or API
Often tied to credits, queues, and account limits.
Free template import
Use with your UScraper desktop license.
Usage-based scraping
May charge per run, row, or compute unit.
Mercadona product pages can show publicly visible catalog information, but automated collection may still be limited by Mercadona terms, robots rules, copyright, consumer-data rules, or local law. Keep volume reasonable, avoid bypassing technical controls, and get legal advice before using scraped Mercadona data commercially.
Before you run
Guardrails for reliable Mercadona exports
Do not rush repeated runs
Avoid parallel automation and leave time for lazy-loaded product cards. Stop if Mercadona asks for verification instead of trying to bypass it.
Selectors can drift
The export targets product-card elements and common product title, format, price, and image fields. Update the Structured Export block if Mercadona changes the listing layout.
Use the data responsibly
Review Mercadona terms, robots guidance, and local rules before redistributing catalog data, images, or derived pricing datasets.
Download and use this template instantly
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Available on Windows 10+ and macOS 12+ · Need help? [email protected]