# 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.

- **URL**: https://apify.com/scrapesage/jdsports-scraper.md
- **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community)
- **Categories:** E-commerce, Automation
- **Stats:** 2 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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## JD Sports Scraper - Trainers, Clothing, Prices & Stock

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.

### 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.

# 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/3lOGXFgOeeMUiWyCg/openapi.json