Retail analysts
Weekly price checks
Favorable to scraping
Track visible list prices and discount prices for supermarket, electronics, or drugstore searches, then compare changes in Excel, Sheets, or BI dashboards.
E-commerce Marketplace$50Free
Olimpica Listing Scraper
The Olimpica Listing Scraper exports Olimpica Colombia product listings into a structured CSV for retail research. Import the template into UScraper, run the bundled "televisor" search example, and collect total result count, brand, product name, product URL, before price, discount price, and capture timestamp from a local desktop app workflow.
Output
CSV
Columns
7
Pagination
VTEX ranges
Source
Olimpica
Template
Free import
Best fit
Who uses an Olimpica product listing export
Brands and distributors
Assortment reviews
Favorable to scraping
Export product names, inferred brands, and product URLs to see how items appear in Olimpica search results against competing brands.
Data teams
Approved monitoring
Nuanced outcome
Use a local Olimpica data extractor for repeatable snapshots while keeping site policies, pacing, and retention rules documented before scaling.
Workflow
How the Olimpica scraper works
Navigate to a live listing
The bundled workflow opens https://www.olimpica.com/televisor?map=ft&_q=televisor, a live search listing that currently resolves better than stale product-detail examples. You can adapt the keyword after import.
Wait and clear the first modal
Page-load waits, a cookie-button check, and a short sleep give the storefront time to hydrate before extraction starts. That reduces empty exports on slower sessions.
Fetch all available listing batches
Instead of depending on a covered or unstable load-more button, the JavaScript step uses same-origin VTEX search ranges with _from and _to, continuing until the reported total is reached or no more rows return.
Render rows for Structured Export
The paginator normalizes product fields into hidden row elements. UScraper then reads those rows with Structured Export and writes the fixed CSV columns.
How to use
From template import to first CSV
1
Download the JSON template
Use the page CTA to download the hosted template, then import it into UScraper.
2
Review the search keyword
The starter workflow searches televisor. Replace the keyword and listing URL when you want supermarket, drugstore, or other approved Olimpica searches.
3
Confirm the export folder
Structured Export writes olimpica-listados-scraper.csv. Choose the folder where your team stores retail snapshots.
4
Run a small test first
Start with the bundled query and verify that product names, brands, prices, and URLs populate before expanding the run.
5
Open the spreadsheet
Load the CSV in Excel, Google Sheets, Power Query, or your internal reporting workflow.
Output preview
What the CSV export includes
olimpica-listados-scraper.csvColumn
totalidad
Reported result count, such as 126 Productos.
Column
marca
Brand from the product record, or inferred from the product name.
Column
nombre_producto
Cleaned listing product name.
Column
url_producto
Product detail URL generated from VTEX link data.
Column
precio_antes
Higher visible price, formatted as Colombian pesos.
Column
precio_descuento
Current or discounted price, formatted as Colombian pesos.
Column
fecha_hora_captura
Capture timestamp in Bogota time when available.
Sample rows
2 of many
| totalidad | marca | nombre_producto | url_producto | precio_antes | precio_descuento | fecha_hora_captura |
|---|---|---|---|---|---|---|
| 126 Productos | Samsung | Televisor Samsung 50 pulgadas Crystal UHD | $ 2.199.900 | $ 1.899.900 | 2026-06-03 09:15:22 | |
| 126 Productos | LG | Televisor LG Smart TV 43 pulgadas LED | $ 1.599.900 | $ 1.349.900 | 2026-06-03 09:15:22 |
Headers included - rows are rendered from the VTEX search result batches before export
Treat this as a listing export from the search URLs you configure, not a guaranteed full catalog feed for every Olimpica department.
Frequently asked questions
Public ecommerce pages can still be governed by Olimpica terms, robots directives, intellectual property rules, anti-bot controls, and Colombian privacy or consumer law. Use modest volumes, do not bypass access controls, keep a documented business purpose, and get legal advice before redistributing or reselling scraped catalog data.
Before you scale
Practical limits and maintenance notes
Guardrails for reliable Olimpica scraping
Pacing
Avoid aggressive repeated runs
Keep the bundled waits in place, run one workflow at a time, and stop when the site presents verification, throttling, or unusually slow responses.
Layout
Retest after storefront changes
VTEX search responses, product URL formats, price fields, and cookie controls can change. If the CSV is empty or prices look wrong, run a short test and update the workflow before reporting.
Policy
Review source rules before commercial reuse
Review Olimpica terms, ecommerce terms, privacy notices, robots guidance, and client-approved data policies before using scraped product data in commercial reports.
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
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