Retail analysts
Price snapshots
Favorable to scraping
Export visible category rows, then compare current prices, original prices, and discount labels across weekly snapshots.
E-commerce Marketplace$50Free
Falabella Retail Listing Scraper by URL
The Falabella retail listing scraper exports Falabella category pages into a structured CSV for price, assortment, and marketplace research. Import the template into UScraper, run the prebuilt Falabella Peru Refrigeracion URL list, and collect brand, title, current price, original price, discount, clean product URL, and rating fallback fields from the local desktop app.
Output
CSV
Columns
8
Inputs
84 URLs
Source
Falabella PE
Template
Free import
Best fit
Falabella product scraper for retail listing research
Collect products from category URLs
The starter project targets the Refrigeracion category across 84 known pagination URLs. Replace or extend the Navigate list when you have approved Falabella category pages for another department, country storefront, or seasonal assortment.
Separate price and discount signals
Current price, original price, and discount land in separate columns, so pricing teams can filter markdowns, compare price gaps, and build snapshots without cleaning copied page text.
Append pages into one file
The Navigate block loops through the URL list and Structured Export writes rows in append mode. Each row keeps its input_url, which makes audits easier when a page needs to be checked later.
Run from a local desktop app
The workflow runs in your own browser session and writes output to your configured folder. There is no cloud scraper between your URL list and the exported CSV.
Who this is for
Teams that use Falabella listing data
Brands and distributors
Assortment checks
Favorable to scraping
Track how product titles, brands, and URLs appear on Falabella listing pages before retail meetings or campaign reviews.
Marketplace researchers
Cross-market research
Nuanced outcome
Pair this workflow with the MercadoLibre listings scraper, Olimpica listing scraper, and Google Shopping listing scraper when a category needs broader ecommerce coverage.
Automation flow
How the Falabella scraper by URL works
UScraper sets a large browser viewport, then opens each configured Falabella listing URL in sequence. The bundled list covers page 1 through page 84 for the Refrigeracion category.
How to use
From Falabella URL list to CSV
1
Download and import
Use the page CTA or the hosted Falabella scraper JSON, then import it into UScraper.
2
Review the URL list
Open the Navigate block and confirm the category pages you are allowed to collect. The starter list uses Falabella Peru Refrigeracion pagination URLs.
3
Confirm the export folder
Structured Export writes falabella-retail-listados-scraper-url.csv in append mode. Change the save location if your team has a standard reporting folder.
4
Run a small test
Start with one or two pages, then verify brand, title, prices, discount, URL, and rating fields against the live storefront.
5
Open the output
Load the CSV in Excel, Google Sheets, Power Query, or your internal pricing workflow, then deduplicate product URLs when combining repeated snapshots.
Output preview
What the Falabella CSV export includes
falabella-retail-listados-scraper-url.csvColumn
input_url
The category page URL that produced the row.
Column
marca
Brand text inferred from the product card.
Column
titulo
Clean product title from the card or URL fallback.
Column
precio_actual
Current visible price, usually formatted in soles.
Column
precio_original
Previous or reference price when a second price is visible.
Column
descuento
Discount label such as -18% when present.
Column
url
Clean product detail URL without tracking query strings.
Column
rating
Rating value or fallback review signal when exposed by the card.
Sample rows
2 of many
| input_url | marca | titulo | precio_actual | precio_original | descuento | url | rating |
|---|---|---|---|---|---|---|---|
| LG | Refrigeradora no frost 384 litros | S/ 1,699 | S/ 2,099 | -19% | 4.7 | ||
| Samsung | Congeladora vertical 280 litros | S/ 1,299 | S/ 1,549 | -16% | 4.5 |
Headers included - rows append across configured Falabella category pagination URLs
Frequently asked questions
Falabella listing pages may be publicly visible, but collection can still be limited by Falabella terms, robots directives, intellectual property rules, anti-bot controls, privacy law, and local ecommerce regulations. Use modest volume, do not bypass access controls or verification, and get legal review before redistributing product datasets.
Before you scale
Practical limits and maintenance notes
Guardrails for reliable Falabella exports
Pacing
Avoid aggressive repeated runs
Keep the waits in place, run one workflow at a time, and stop when Falabella presents verification, throttling, or unusually slow responses. Do not parallelize large page lists without a reviewed collection plan.
Layout
Retest after storefront changes
Falabella product cards use dynamic markup. If the CSV is empty or title, price, URL, or rating fields look wrong, retest a short run and update the row-scoped extraction logic before reporting.
Policy
Review source rules before commercial reuse
Check Falabella terms, robots guidance for the relevant country storefront, privacy notices, and client-approved data policies before exporting large datasets or publishing derived marketplace analysis.
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
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