JD Sports Scraper - Trainers, Clothing, Prices & Stock

Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by JD Sports Fashion plc or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. "JD Sports" is referenced only to describe the publicly available website this Actor collects data from.

Scrape products from JD Sports (jdsports.co.uk) by keyword and get clean, structured data: brand, product name, price, colour, category, gender, sale/discount status, image and product URL.

Fast and fully paginated. No login, no API key.

What it does

• Searches JD Sports by keyword (nike air max, adidas hoodie, running shoes, ...).
• Returns each product with brand, price (numeric + formatted), colour, category, gender, in-stock and sale/discount flags, image and the direct product URL.
• Pulls the full result set for a keyword (paginated), up to your Max products.

Example output

{
  "type": "product",
  "styleId": "830140",
  "name": "Nike Air Max 90",
  "brand": "Nike",
  "price": 135,
  "priceFormatted": "£135.00",
  "currency": "GBP",
  "colour": "White",
  "category": "Footwear",
  "gender": "Mens",
  "onSale": false,
  "inStock": true,
  "image": "https://i8.amplience.net/i/jpl/jd_791003_plc",
  "url": "https://www.jdsports.co.uk/product/white-nike-air-max-90/830140/"
}

Input

Field	Description
Search keywords	Product keywords or brands (one search each).
Max products	Cap across all searches.
Proxy	Not needed for the search itself; used only to refresh search keys if they change.

Use cases

• Price & assortment monitoring - track prices, colours and sale status across JD's catalogue.
• Competitor & brand analysis - pull a brand's full JD lineup with pricing.
• Sneaker / streetwear datasets - build a structured product feed for resale or trend analysis.

Notes

Data comes from JD Sports' public search index, so runs are fast and need no proxy. One record per product colourway. discountPercent and sport appear only when applicable (on-sale items / sports-categorised products).

Run it from an agent (MCP / API)

Agent-ready: typed input schema, structured JSON output. An agent can pull JD Sports products for a keyword in one step. Pass searchQueries and read the product records back.

Agent-ready: autonomous payments (x402 & Skyfire)

This actor is agent-ready — AI agents can discover it, run it, and pay for it autonomously, with no Apify account and no human in the loop. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic-payment standards:

• x402 — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the Apify MCP server — no account, no API key.
• Skyfire — agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

How much does it cost to scrape JD Sports?

This Actor uses Apify's pay-per-event pricing: you are charged only for the results it delivers, with no monthly rental and no start fee. The events it can charge are:

• Product - One JD Sports product (brand, name, price, colour, category, image, URL)

The current price of each event is shown on the Pricing tab of this page. Set a maximum total charge on the run if you want a hard cap on spend, and use the input limits to control how much the Actor fetches.

Automate & schedule

Run this Actor on autopilot and pull results into your own stack:

• Apify API - start runs, fetch datasets and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python - official SDKs.
• Schedules - run it hourly, daily or weekly and keep your dataset current.
• Webhooks - trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });

const run = await client.actor('scrapesage/jdsports-scraper').call({
    // your input - see the Input section above
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} records`);

Integrate with any app

Connect the dataset to thousands of apps - no code required:

• Make - multi-step automation scenarios.
• Zapier - push new records straight into your CRM or spreadsheet.
• Slack - get notified when a scheduled run finds something new.
• Google Drive / Sheets - auto-export every run to a spreadsheet.
• Airbyte - pipe results into your data warehouse.
• GitHub - trigger runs from commits or releases.

More scrapers from scrapesage

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• Taobao & Tmall Scraper - Products, Prices, Sellers & Reviews
• Kompass Scraper - Global B2B Company & Supplier Leads
• Faire Scraper - Wholesale Brands, Supplier Leads & Products
• AliExpress Scraper - Products, Prices, Orders & Supplier Leads
• GetYourGuide Scraper - Tours, Activities, Prices & Reviews

FAQ

Login or key? No. Which JD? jdsports.co.uk (UK), prices in GBP. Legal? It reads publicly listed catalogue data; use it in line with JD Sports' terms and applicable law.

Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by JD Sports Fashion plc or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

"JD Sports" and any related marks are the property of their respective owners and are used here only in a descriptive, nominative sense - to identify the publicly accessible website from which this Actor collects data. This Actor is not an official JD Sports product, is not authorised or certified by JD Sports Fashion plc, and does not distribute JD Sports software. It collects only publicly available information; you are responsible for ensuring your use of that data complies with applicable laws, regulations and the terms of the source website.

Need help?

Open an issue on the Actor's Issues tab, or visit the Apify help center. Feature requests are welcome - this Actor is actively maintained.