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Olympic Shop Data Scraper

The Olympic Shop data scraper turns Olympic Shop and Fanatics merchandise listings into a clean CSV export. Import the template, run it in the local desktop app, and collect product prices, titles, image URLs, and product references without building a product-card parser from scratch.

Output

CSV

Columns

4

Pages

Auto next

Source

Olympic Shop

Template

Free import

Best fit

Who uses Olympic Shop product exports

Retail analysts

Catalog snapshots

Favorable to scraping

Capture visible product titles, prices, and image references from Olympic merchandise pages, then compare assortment changes in Excel, Sheets, or BI tools.

Brand and licensing teams

Merch checks

Favorable to scraping

Review official Olympics collections, event-specific ranges, and Fanatics-hosted product pages when you need a repeatable record of what was visible on a listing page.

Agencies and data teams

Approved research

Nuanced outcome

Use a local Olympic shop data extractor for one-off reporting, while documenting source URLs, allowed reuse, and pacing before scaling recurring jobs.

Workflow

How the Olympic Shop scraper works

Navigate to a product listing

The bundled workflow starts from an Olympic Shop listing URL. Add more category, collection, or localized listing URLs in the Navigate block when your research scope expands.

Wait for product images

Page-load waits and visible-image checks make the scraper wait for merchandise cards before extraction begins. This helps avoid blank rows on slower storefront pages.

Annotate rows before export

A JavaScript step identifies product images, extracts product references from image URLs, reads nearby titles and prices, and stores those values as attributes for Structured Export.

Continue through pagination

After each export, UScraper removes blocking modals if present, checks for a valid next-page control, clicks it, waits again, and loops until pagination ends.

How to use

From import to first product CSV

1

Download and import the JSON

Use the page CTA to download the hosted template, then import it into UScraper.

2

Review the starting URL

The default workflow targets an Olympic Shop listing. Replace or expand the Navigate URLs with approved category or collection pages.

3

Confirm the export path

Structured Export writes olympic_shop_data_scraper_final.csv; choose the folder where your team stores product research.

4

Run a small test

Start with one listing page. Check that titles, prices, photo URLs, and product references are populated before running a full pagination pass.

5

Open the output

Review the CSV in Excel, Google Sheets, Power Query, or your internal reporting workflow.


Output preview

What the CSV export includes

olympic_shop_data_scraper_final.csv
CSV - UTF-8 - Append

Column

prix

Visible product price near the listing card.

Column

titre

Product title or description from image alt text or nearby card copy.

Column

photo

Product image URL captured from src, currentSrc, data-src, or srcset.

Column

reference_produit

Product reference inferred from the image URL pattern.

Sample rows

3 of many

prixtitrephotoreference_produit
34,99 EURParis 2024 Olympic Games Mascot Graphic T-Shirt201234567
$42.00Olympic Collection Heritage Cap209876543
59,99 EURTeam France Olympic Hoodie205551111
Headers included - each paginated listing page appends below previous rows

Treat this as a controlled listing export from the URLs you configure, not a guaranteed full inventory feed for every Olympic Shop product.

Frequently asked questions

Olympic Shop pages may be public, but scraping is still affected by robots directives, site terms, copyright, trademark rules, rate limits, and local law. Review the Olympic Shop terms and customer help pages, keep request volume modest, avoid bypassing access controls, and get legal advice before redistributing catalog data.

Before you scale

Practical limits and maintenance notes

Operational guardrails

Rate limits

Keep listing runs modest

Do not run large batches repeatedly from the same network. Keep waits in place, avoid parallel runs, and pause whenever the storefront asks for verification.

Layout drift

Retest after storefront changes

Product cards, price labels, image URL patterns, and modal behavior can change. If rows become empty or prices shift, run a short test and update the workflow before reporting.

Compliance

Review site policies before reuse

Public merchandise listings can still be restricted by terms of use, trademark rules, and content licenses. Keep a documented purpose and avoid republishing catalog data without permission.

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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