# JD Sports Scraper - Trainers, Clothing, Prices & Stock (`scrapesage/jdsports-scraper`) Actor

Scrape products from JD Sports (jdsports.co.uk) by keyword: brand, product name, price, colour, category, gender, sale/discount status, image and product URL. Fast, fully paginated via the site search index. No login, no key. Export JSON, CSV, Excel. Independent tool, not affiliated with JD Sports.

- **URL**: https://apify.com/scrapesage/jdsports-scraper.md
- **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community)
- **Categories:** E-commerce, Automation
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.65 / 1,000 products

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 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

```json
{
  "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](https://docs.apify.com/platform/actors/publishing/monetize/pay-per-event) pricing and [limited permissions](https://docs.apify.com/platform/actors/development/permissions), so it qualifies for Apify's agentic-payment standards:

- **[x402](https://docs.apify.com/platform/integrations/x402)** — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) — no account, no API key.
- **[Skyfire](https://docs.apify.com/platform/integrations/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](https://docs.apify.com/api/v2)** - start runs, fetch datasets and manage schedules over REST.
- **[apify-client for JavaScript](https://docs.apify.com/api/client/js/)** and **[apify-client for Python](https://docs.apify.com/api/client/python/)** - official SDKs.
- **[Schedules](https://docs.apify.com/platform/schedules)** - run it hourly, daily or weekly and keep your dataset current.
- **[Webhooks](https://docs.apify.com/platform/integrations/webhooks)** - trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.

```js
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](https://docs.apify.com/platform/integrations/make)** - multi-step automation scenarios.
- **[Zapier](https://docs.apify.com/platform/integrations/zapier)** - push new records straight into your CRM or spreadsheet.
- **[Slack](https://docs.apify.com/platform/integrations/slack)** - get notified when a scheduled run finds something new.
- **[Google Drive / Sheets](https://docs.apify.com/platform/integrations/drive)** - auto-export every run to a spreadsheet.
- **[Airbyte](https://docs.apify.com/platform/integrations/airbyte)** - pipe results into your data warehouse.
- **[GitHub](https://docs.apify.com/platform/integrations/github)** - trigger runs from commits or releases.

### More scrapers from scrapesage

Related Actors in the same category:

- **[Taobao & Tmall Scraper](https://apify.com/scrapesage/taobao-scraper)** - Products, Prices, Sellers & Reviews
- **[Kompass Scraper](https://apify.com/scrapesage/kompass-scraper)** - Global B2B Company & Supplier Leads
- **[Faire Scraper](https://apify.com/scrapesage/faire-scraper)** - Wholesale Brands, Supplier Leads & Products
- **[AliExpress Scraper](https://apify.com/scrapesage/aliexpress-scraper)** - Products, Prices, Orders & Supplier Leads
- **[GetYourGuide Scraper](https://apify.com/scrapesage/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](https://help.apify.com/). Feature requests are welcome - this Actor is actively maintained.

# Actor input Schema

## `searchQueries` (type: `array`):

Product keywords to search, e.g. <code>nike air max</code>, <code>adidas hoodie</code>, <code>running shoes</code>. One search per keyword.

## `maxResults` (type: `integer`):

Maximum number of products to return (across all searches).

## `proxyConfiguration` (type: `object`):

Proxies to use. The product search runs against a public index and needs no proxy; proxies are only used to refresh search keys if they ever change.

## Actor input object example

```json
{
  "searchQueries": [
    "nike air max"
  ],
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

All scraped JD Sports product records as JSON items in the default dataset.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQueries": [
        "nike air max"
    ],
    "maxResults": 100,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesage/jdsports-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchQueries": ["nike air max"],
    "maxResults": 100,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("scrapesage/jdsports-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQueries": [
    "nike air max"
  ],
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call scrapesage/jdsports-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesage/jdsports-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/g5i6kFaDrZgYWgE49/builds/bY1sA1pIkffmXl33Z/openapi.json