The fashion industry forms an intricate network where emerging designers, smaller manufacturing units, and family-run boutiques are interdependent. They depend on each other for production, marketing, and delivering products to consumers.

So, when many boutiques faced closure, Farfetch took a step back to assess its role. It restructured its operations to provide comprehensive help to both established brands and smaller businesses.

This approach encompassed two key strategies: First, showcasing boutique content through marketing and editorial campaigns. And second, introducing reduced fees for retailers featured on its platform.

It extended its aid in stock distribution and relaxed specific service-level obligations to further bolster its support.

As part of its daily functioning, Farfetch depends on up-to-the-minute search demand and auction insights data. It uses it to compare and align evolving market requirements with tangible revenue and expenditure results.

Farfetch utilizes a value-focused bidding approach rather than sticking to predetermined advertising budgets. This is because later could result in loss of potential customers to competitors after depleting the budget.

This strategy empowers the company to tap into profitable demand within each market. Also, it allows for automatic budget escalation in response to sudden demand surges in specific locations.

The primary controlling factor in this approach is the return on ad spend (ROAS) target. If the algorithm determines that a potential sale lacks profitability or incurs high costs, it refrains from participating in the auction.

This approach signifies Farfetch's commitment to immediate revenue growth and to ensuring sustained future profitability.

What Is Data Scraping?

Data Extraction helps in extracting valuable data from websites using software or scripts. It helps to access web pages to gather specific data. The system saves the data in a structured format for further analysis or use.

Data scraping automates the process of data collection. It enables users to gather large amounts of data from many websites with speed & ease.

Users can use web scraping for various purposes.

  • market research
  • data analysis
  • content aggregation
  • Price comparison, etc.

What Is a Farfetch Scarper?


This special tool called the "Farfetch Product Extractor" gathers all the vital information about products from a website called It examines different categories of products and gets details like prices and descriptions.

Imagine a scenario where a diligent robot browses through, meticulously cataloging each product's information in individual files. Each piece of product data is thoughtfully stored on its own line, creating a neat and organized record.

Moreover, for those who have an insatiable curiosity, the robot has kindly provided links to each product. This means that if you're eager to delve deeper into the details, all you need to do is click on these links and embark on an exciting journey of exploration.

What Information Can We Extract Using Farfetch Scraper?

Here's the information we'll collect:

  • Product Available
  • product brand
  • Product Category
  • Product Color
  • Currency
  • Product's Description
  • item's first image
  • item's second image
  • model-bust
  • model-bust-chest
  • model-fitting-information
  • model-height
  • model-hips
  • model-is-wearing
  • model-length
  • model-shoulder
  • model-sleeve-length
  • model-waist
  • name
  • price
  • price-high
  • price-low
  • sizes
  • SKU
  • URL

Why Use a Scraper?


Farfetch is a famous app to find fancy clothes and cool accessories online. If you run a business in fashion or selling things, getting info from the Farfetch dataset can be helpful. It has the capability to provide you with information such as product pricing, inventory availability, and customer preferences.

This data can help you make clever selections for your business. Like, deciding what to sell and how much to charge.

The Farfetch dataset has a lot of info online. So, if you use scraping tools, you can learn about:

  • What is trendy in fashion
  • What people like to buy, and
  • What they will want in the future.

Using web scraping is vital because saves time and helps us stay up-to-date. With all the big data available, using a Farfetch scraper API is important to remain competitive.

Also, it helps us keep up with the dynamic fashion world.

What Is the Cost Involved In Using A Farfetch Scraper?

This ready-made web tool uses different types of bots to gather product data. When you use the Farfetch Product Extractor, you need to pay 1 credit, 100 credits, or 10 credits for every request you make.

This tool gathers information from, beginning with the category pages.

Thus, it is simple and free. Give it a try.

To begin, you can either make a free trial account. Or log in if you have already made one before.

1. Choose "Start for Free"
2. Turn on the Ready-to-Use Tool
3. Put in Your First URLs. Add a list of website links to start scraping.

How to Extract Product Data with Online Farfetch Scraper?

Picking the Right Tool:

Before you start, find a good tool for collecting data from Farfetch. Look for tools that are easy to use. And let you change things around. Also, it can handle different kinds of data. Make sure the tool follows the rules and respects the website's terms so you don't get into trouble.

What to Collect:

Figure out what kind of info you want from the products. It could be things like: names, categories, prices if they're available, sizes, colors, and more. Knowing what info you need will help you set up the tool better.

Checking How the Website Works:

To get objective data, you need to comprehend the layout of the Farfetch website. Take a look at the code that creates the website.

It enables you to locate the data hidden in the code and assists you in setting up the tool accurately.

Getting Ready to Collect:

Most tools let you tell them what to do using special codes called selectors or expressions. These codes help the tool know where to look and what to pick. For example, you can tell it to find the product name by using the right tag and code.

Handling Lots of Pages:

Sometimes, websites show things on different pages. If Farfetch API does this, your tool needs to know how to move from one page to the next and keep getting info.

Grabbing the Info and Keeping It Safe:

Once your tool is set up and know what to look for, start it up! It will visit each product page, and get the data you want. Then, save it in a table or a file.

Solving Problems:

Scraping isn't always easy. Sometimes websites change or try to stop tools like yours. Keep an eye on how well your tool is doing. Be ready to change things if the website looks different.

Making Sense of the Data:

Once you've got lots of info, check it out! Look for patterns and cool things. It helps you make intelligent choices for your business. It helps in setting prices and knowing what people like. It helps maintain a lead in the online shopping world.

What Does the Result Look Like After Scraping Data Using Farfetch?

The information you receive is divided into four lines. Each line is about one specific page and tells you things like the:

Designer_Style_Id, Name, Picture, Price, Description, Outer, Highlights, Depth, Handle, Height, Strap, and Width.


Web scraping is like a secret key to finding useful information online. Farfetch's website has a lot of this valuable data.

With the know-how of using Farfetch dataset to gather online data, you can discover vital things. It can help your business grow.

But remember, it's vital to scrape fairly. Also, make wise choices as you go on this exciting adventure.