Ideas · Farfetch

10 things to build with Farfetch data.

Farfetch data is good for watching designer prices, discounts and size availability across boutiques. Each idea below names the operations it calls, so you can quote it and run it.

Operations
4
Price
from $0.0009 per record
Free to start
$0.10

Updated 21 October 2026

The ideas

A designer price drop alert

For shoppers watching a piece. It reads the product each day and sends a note when the discount grows. Uses products and history.

A size back-in-stock alert

For shoppers waiting on a size. It reads per-size availability and flags when the size returns. Uses products.

A sale page monitor

For deal newsletters. It reads a sale listing page and lists items that are new since the last run. Uses listing.

A brand pricing report

For brands and wholesale teams. It searches the brand name and reports prices and discounts across boutiques. Uses search.

A boutique map for a designer

For brand teams. It reads the seller boutique on each of the designer's products to see who carries what. Uses search and products.

A markdown timing dataset

For analysts and buyers. It reads a category listing on a schedule and keeps the stored discount series, which is free. Uses listing and history.

A resale pricing reference

For resellers. It compares a piece's current price and full price with what they plan to ask. Uses search.

A personal shopper agent

For shoppers. An agent searches for a described item and keeps only pieces in their size and budget. Uses search and products.

A designer sale share report

For fashion analysts. It reads designer listing pages and compares how much of each is discounted. Uses listing.

Each idea and what it calls

Show all 10 rows
A designer price drop alertproducts, historyUp to 10 productsproducts: $0.0009 per record
A size back-in-stock alertproductsUp to 10 productsproducts: $0.0009 per record
A sale page monitorlistingUp to 100 productslisting: $0.0009 per record
A brand pricing reportsearchUp to 100 productssearch: $0.0009 per record
A boutique map for a designersearch, productsUp to 100 productssearch: $0.0009 per record
A markdown timing datasetlisting, historyUp to 100 productslisting: $0.0009 per record
A resale pricing referencesearchUp to 100 productssearch: $0.0009 per record
A personal shopper agentsearch, productsUp to 100 productssearch: $0.0009 per record
A category assortment trackerlistingUp to 100 productslisting: $0.0009 per record
A designer sale share reportlistingUp to 100 productslisting: $0.0009 per record

How to start

  1. Sign up. An agent registers itself with one POST and starts with $0.10 of free credit; a person can sign up on the site instead.
  2. Quote the first call for free: send the products request with "estimateOnly": true and read the price before anything is spent.
  3. Run the same call with "maxUsd" set as a ceiling, and keep the rows it returns.
  4. Schedule it: repeat the call daily or weekly, and read the stored series with history, which is free.

Operations used

Questions people ask.

Can I read any listing page?

Yes. listing takes any designer, category or sale listing page URL and returns its products in page order.

Do I need a Farfetch account to build these?

No. The API reads public data and never asks for your login, password or cookie.

What does a run cost?

Farfetch records are priced from $0.0009 per record. A call can carry a minimum, so send it first with "estimateOnly": true. The quote is free and is the most the call can cost.

Can an AI agent build and run these on its own?

Yes. It signs itself up with one call and gets $0.10 free, quotes each call before it spends, and pays from a prepaid balance. "maxUsd" caps every call, and only a person can add money.

Try it in a minute. $0.10 free.

The playground runs any endpoint by hand: pick a platform and what you want from it, fill a short form named in plain words (or press Use sample input), see the free quote on the Run button, run it, then read the answer as a table or JSON and download it as CSV or JSON. The same call is written out as cURL, Python and Node while you type.

Try in playground

Quickstart · Every price · All platforms

Why people pick API for Agents

  • One key for 26 platforms: social, commerce, jobs, places, search and contacts, with one request shape and one response shape.
  • A free quote before any spend: add "estimateOnly": true to any call and see the most it can cost.
  • Pay per record in US dollars. No subscription, nothing expires, top-ups from $5.
  • $0.10 free to try, no card. An AI agent can sign itself up in one request; a person claims it later.
  • Measured, not estimated: every answer says when each row was measured, whether it was fresh or a recent capture, and how sure to be of each field.
  • Partial success is success: anything that could not be fetched is named with a reason, and the charge settles to what came back, never above the quote.
  • Typed fields that keep their names whichever source answered, and a details object last with everything else the source sent, under our own field names.
  • Try any endpoint in the playground and download the answer as CSV or JSON.

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