Retail analysts
Price and promo checks
Favorable to scraping
Compare sale price, current price, and original price across a known set of Falabella product pages before weekly pricing reviews.
E-commerce Marketplace$50Free
Falabella Product Details Scraper
The Falabella product details scraper turns a list of Falabella product URLs into a structured CSV export for pricing, catalog, and marketplace research. Import the template into UScraper, replace the sample product URL list, and collect product code, store code, brand, title, sale/current/original prices, ratings, review count, image URLs, size/type/gender fields, and cleaned specifications from the local desktop app.
Output
CSV file
Columns
19
Inputs
URL list
Source
Falabella
Template
Free import
Best fit
Falabella product scraper for detail page research
This workflow is built for individual product pages, not search-result or category pages. Add approved detail URLs to the Navigate block and UScraper runs the same extraction path against each page. That makes it useful when a listing scraper has already found product URLs and your next step is deeper product enrichment.
Capture detail-page fields
Export product codes, brand, title, price tiers, image URLs, review signals, and long specifications into separate columns for easier cleaning and joins.
Keep price extraction scoped
The template reads prices near the purchase area first, which reduces noise from recommendation widgets, add-on services, or unrelated product modules.
Run a multi-URL product batch
Each URL in navigate.urls becomes one CSV row. Use this after collecting URLs with the Falabella listing scraper by URL.
Keep research local
The workflow runs through your UScraper desktop session and writes the CSV to your configured folder unless you add your own upload or sync step.
Who uses it
Use cases for Falabella product data exports
Catalog teams
Product enrichment
Favorable to scraping
Pull brand, title, product codes, image URLs, size/type fields, and specifications into a spreadsheet for SKU matching or content QA.
Marketplace researchers
Regional comparisons
Nuanced outcome
Pair detail-page exports with the Falabella scraper by keyword, MercadoLibre product details scraper, and Liverpool details scraper for broader ecommerce coverage.
Automation flow
How the Falabella details workflow runs
UScraper sets a 1920 by 1080 browser window, then opens each product detail URL from the Navigate block. Replace the bundled sample URL with your approved Falabella product URLs before running a batch.
How to use
From Falabella product URLs to CSV
1
Download and import
Download the hosted Falabella product scraper JSON, then import it into UScraper.
2
Add product URLs
Open the Navigate block and replace the sample URL with the Falabella product detail pages your team is allowed to collect.
3
Confirm the export folder
Structured Export writes falabella-retail-detalles-scraper.csv in append mode. Change the save location before client, country, or category-specific runs.
4
Run a small test
Start with two or three URLs and compare product code, brand, title, price, images, and specifications against the live pages.
5
Open the output
Review the CSV in Excel, Google Sheets, Power Query, or BI tooling, then deduplicate by producto_url or product code when combining snapshots.
Output preview
What the Falabella to CSV export includes
falabella-retail-detalles-scraper.csvColumn
codigo
Product code inferred from the product URL path.
Column
codigo_tienda
Store or seller SKU fallback when available.
Column
marca
Brand from structured product data or page fallback.
Column
titulo
Clean product title without Falabella title suffixes.
Column
precio_rebaja
Sale or offer price near the purchase area.
Column
precio_actual
Current comparable price when a higher price is visible.
Column
precio_original
Original or list price when available.
Column
producto_url
The visited product detail URL.
Column
rating
Rating value from structured data or page text.
Column
comentario
Review or comment count when exposed.
Column
imagen1
Primary product image URL.
Column
imagen2
Secondary image URL when available.
Column
imagen3
Additional image URL when available.
Column
imagen4
Additional image URL when available.
Column
imagen5
Additional image URL when available.
Column
tamano
Size, capacity, or seating field when present.
Column
tipo
Product type inferred from specifications.
Column
genero
Gender field for applicable categories.
Column
especificacion
Cleaned specification block for the product page.
Sample rows
1 of many
| codigo | codigo_tienda | marca | titulo | precio_rebaja | precio_actual | precio_original | producto_url | rating | comentario | imagen1 | imagen2 | imagen3 | imagen4 | imagen5 | tamano | tipo | genero | especificacion |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 883013089 | 883013089 | Home Collection | Mesa De Tv Irlanda 65 | S/ 499 | S/ 699 | S/ 899 | 4.6 | 18 | 65 pulgadas | Rack / mesa de TV | Material: melamina. Modelo: Irlanda. Requiere armado: si. |
Headers included - one product detail URL creates one CSV row
Frequently asked questions
Falabella product pages may be publicly visible, but automated collection can still be limited by Falabella terms, robots directives, anti-bot controls, intellectual property rules, privacy law, and local ecommerce regulations. Keep runs modest, 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 detail exports
Pacing
Avoid aggressive repeated runs
Keep the waits in place, run controlled batches, and stop when Falabella presents verification, throttling, unusual blank pages, or slow responses. Do not parallelize large URL lists without a reviewed collection plan.
Layout
Retest after storefront changes
Product pages can shift markup, structured JSON, price blocks, and image delivery rules. Empty fields or incorrect prices usually mean the detail-page extraction logic needs a short maintenance pass.
Policy
Review 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
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
Contribute on GitHubBrowse more templates in the library
All Templates