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BUYMA Product Listing Scraper

The BUYMA Product Listing Scraper turns BUYMA keyword result pages into a structured CSV export. Import the template, run the bundled Chanel and ISSEY MIYAKE sample URLs, then adapt the input list to scrape BUYMA product listings with product names, links, images, prices, shipping text, tags, brand names, and shopper names from a local desktop app workflow.

Output

CSV file

Columns

8

Inputs

Result URLs

Waits

Load + element

Template

Free

At a glance

BUYMA product data extractor for keyword result pages

This template is built for BUYMA search and brand result pages, not deep product-detail pages. The automation starts with Navigate, opens each configured result URL, waits for the page to finish loading, hides visible cookie or consent overlays when they block rows, waits for listing cards, then runs Structured Export against repeated product blocks.

The bundled workflow uses a bounded navigate.urls[] loop for Chanel and ISSEY MIYAKE. That is intentional: BUYMA can expose very large result sets, and an unrestricted click-next loop can run into UScraper's iteration safety limit. To collect more pages, add specific BUYMA result-page URLs to the Navigate block and keep each run reviewable.

Scrape BUYMA listing cards

Capture visible product names, price text, shipping labels, tags, brand hints, shopper names, product URLs, and image URLs from keyword results.

Export BUYMA to CSV

Keep marketplace fields in predictable columns for Excel, Sheets, Airtable, BI imports, enrichment scripts, or manual review.

Control batch size

Add the exact BUYMA search, brand, or page URLs you want instead of relying on an open-ended pagination crawler.

Run locally

The browser session and exported CSV stay under your configured desktop app workflow and save folder.

Who uses it

BUYMA listing CSV use cases

Marketplace analysts

Assortment snapshots

Favorable to scraping

Compare which brands, product names, price ranges, shipping labels, and shopper profiles appear across BUYMA keyword result pages.

Luxury ecommerce teams

Competitive research

Favorable to scraping

Export BUYMA products for a focused brand query, then review product URLs, images, tags, and price text alongside internal catalog notes.


Automation flow

How the BUYMA scraper works

Navigate, wait, clean overlays, export, continue. The workflow opens each BUYMA result URL, waits for page load, removes blocking cookie or consent panels when possible, waits for product cards, exports structured fields, then advances to the next configured URL.

How to use

Run the BUYMA product scraper in five steps

1

Download and import

Download the hosted JSON template from this page, then import it into UScraper.

2

Add BUYMA result URLs

Replace the sample keyword URLs with the BUYMA brand, search, or paged result URLs you want to collect.

3

Review waits and browser state

Keep the page-load and element waits in place. If BUYMA presents CAPTCHA or anti-bot checks, run in browser mode and solve them manually.

4

Confirm the export path

Check the Structured Export file name, save location, headers, and append mode before a larger batch.

5

Run and open the CSV

Start with a small URL set, compare rows against the browser, then open buyma-product-listing-scraper.csv in your spreadsheet tool.

Output preview

What the BUYMA to CSV export includes

buyma-product-listing-scraper.csv
CSV - UTF-8 - Append

Column

product_name

Product title from the listing card, with image alt text as a fallback.

Column

product_url

Absolute BUYMA item URL for traceability and manual review.

Column

image_url

Primary product image URL when exposed on the listing card.

Column

price

Visible yen price text captured from the product row.

Column

shipping_cost

Shipping label such as included, free shipping, or visible shipping-cost text.

Column

tags

Badges and listing labels such as tax-included, fast delivery, sale, or used when present.

Column

brand_name

Brand inferred from card links, visible text, or known brand patterns.

Column

shopper_name

Personal shopper or buyer profile name when BUYMA exposes it in the card.

Sample rows

2 of many

product_nameproduct_urlimage_urlpriceshipping_costtagsbrand_nameshopper_name
CHANEL classic flap style shoulder bagJPY 890,000Shipping includedNo customs burden, speed deliveryCHANELTokyo Luxury Shopper
ISSEY MIYAKE pleated tote bagJPY 42,800Free shippingSale, in stockISSEY MIYAKEOsaka Select
Headers included - rows append across configured BUYMA keyword and brand result URLs

Frequently asked questions

BUYMA pages may be publicly visible, but automated collection can still be limited by BUYMA terms, robots rules, marketplace policies, copyright, database rights, privacy law, or local regulations. Keep runs modest, do not bypass access controls, and get legal review before using scraped data commercially.

Before you scale

Limits and maintenance notes

Guardrails for reliable BUYMA product exports

Pacing

Avoid aggressive batches

Large unattended runs can trigger throttling, verification pages, incomplete rendering, or empty exports. Add URLs gradually and keep waits in place.

Layout

Listing markup can change

BUYMA product cards, class names, and badge text may shift. When core fields go blank, update the Structured Export columns before using the dataset.

Policy

Review BUYMA rules before reuse

Treat the CSV as research input. Review BUYMA terms, robots guidance, API options, and applicable law before redistributing, selling, or combining scraped marketplace data with other datasets.

Install the local desktop app from the UScraper download page, import the hosted JSON template, and use this workflow whenever you need a repeatable way to export BUYMA products from listing pages to CSV.

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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Available on Windows 10+ and macOS 12+ · Need help? [email protected]