Luxury ecommerce analysts
Assortment checks
Capture a repeatable CSV snapshot of visible Farfetch product names, brands, prices, and materials for category reviews or internal merchandising notes.
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This Farfetch scraper turns Farfetch product image inputs into a structured CSV export for ecommerce research. The bundled workflow visits sample Farfetch CDN image URLs, waits for the image document to render, captures the live product_img, and appends product fields such as brand, product name, price, delivery estimate, highlights, composition, and washing instructions into farfetch_scraper_products.csv.
CSV file
9
Multi-URL
Load + 1s
Free
What it does
This workflow is built from a Farfetch product-info template pattern, but the attached sample inputs are Farfetch CDN image documents rather than full product detail pages. UScraper navigates through each URL in sequence, waits for the page and the visible img element, pauses briefly, then runs Structured Export against the document body.
Because image documents do not expose every retail field in page markup, the template uses a known-data fallback keyed by the supplied image URLs. That gives you a realistic Farfetch product data export shape while keeping the graph simple to inspect: Navigate, wait, confirm the image, export structured columns, and continue the loop.
Export Farfetch product fields to CSV
Keep product image URL, brand, name, price, delivery, highlights, composition, and care fields in stable spreadsheet columns.
Process several Farfetch inputs
The Navigate block accepts multiple URLs and the Loop Continue block moves through them one by one.
Keep the run local
The browser automation and CSV output stay inside your desktop session and configured save folder.
Use it as a product scraper base
Adapt the URL list and field mappings when you move from image documents to full Farfetch product pages.
Who uses it
Luxury ecommerce analysts
Assortment checks
Capture a repeatable CSV snapshot of visible Farfetch product names, brands, prices, and materials for category reviews or internal merchandising notes.
Pricing researchers
Manual QA replacement
Replace copy-paste checks with a structured Farfetch to CSV workflow, then compare exported prices and delivery estimates against your catalog notes.
Data operations teams
Template adaptation
Start from a small, auditable graph before extending the same pattern to full product detail pages, wider URL lists, or downstream enrichment.
How to use
Download and import
Download the free JSON template from this page, then import it into UScraper.
Review the input URLs
Open the Navigate block and inspect the three sample Farfetch CDN image URLs before adding or replacing inputs.
Keep the wait sequence
Leave the page-load wait, img element wait, and one-second sleep in place so the image source is available before export.
Confirm the export folder
Check the Structured Export save location and decide whether append mode should add rows to an existing CSV or a fresh file.
Run and open the CSV
Start the workflow, let Loop Continue advance through each input, then open farfetch_scraper_products.csv.
The automation flow stays readable: Navigate to a queued URL, wait for the document and image, scroll or settle only when needed, export structured columns, then loop to the next input. For full product pages, keep that same pattern and update only the field capture logic you actually need.
Output preview
farfetch_scraper_products.csvColumn
product_img
Live image URL captured from the rendered Farfetch image document.
Column
season
Season field when available in the configured mapping.
Column
brand
Designer or brand name.
Column
product_name
Product title exported into a stable column.
Column
price
Displayed product price from the sample mapping.
Column
estimated_delivery
Delivery window when included.
Column
highlights
Long-form product highlights and feature text.
Column
composition
Material composition such as gold, diamond, cotton, or leather.
Column
washing_instructions
Care or washing guidance when available.
Sample rows
2 of many
| product_img | season | brand | product_name | price | estimated_delivery | highlights | composition | washing_instructions |
|---|---|---|---|---|---|---|---|---|
| Pragnell | 18kt yellow gold Skimming diamond ring | $5,410 | Apr 17 - Apr 24 | 18kt yellow gold polished finish 0.50ct brilliant cut diamond | Diamond 100%, 18kt Yellow Gold 100% | |||
| Pragnell | 18kt yellow gold Skimming diamond necklace | $4,587 | Apr 17 - Apr 24 | 0.50ct brilliant cut diamond, FG/VS1-2 clarity, rolo chain | Diamond 100%, 18kt Yellow Gold 100% |
Farfetch content may be covered by Farfetch terms, robots directives, copyright, database rights, brand restrictions, privacy law, and local regulations even when a product page or image URL is publicly reachable. Use modest volume, do not bypass access controls, avoid collecting personal data, and get legal review before commercial reuse or redistribution.
Before you scale
Guardrails for reliable Farfetch product exports
Keep batch sizes modest
Large unattended runs can trigger throttling, incomplete image loads, or access checks. Increase delays before adding many more URLs.
Product page layouts may change
The sample image capture is simple, but full product pages can change markup, lazy loading, and price formatting. Empty fields usually mean the export mapping needs review.
Review terms before commercial reuse
Read Farfetch robots rules, terms, and privacy policy before using scraped product data in reports, resale feeds, or public datasets.
Browse more workflows in the UScraper template library, install the local desktop app from the download page, and use this template whenever you need a repeatable way to export Farfetch products without rebuilding a spreadsheet by hand.
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