# John Lewis Products Details Crawler (`alkausari_mujahid/john-lewis-products-details-crawler`) Actor
Extract full product details from John Lewis — prices, specs, images, descriptions, and weight-based cost addition — Automatically calls the John Lewis Listings Crawler to discover all variant URLs, then scrapes each one at speed using CheerioCrawler. Connect to Google Sheets or Make and Shopify.
- **URL**: https://apify.com/alkausari\_mujahid/john-lewis-products-details-crawler.md
- **Developed by:** [Alkausari M](https://apify.com/alkausari_mujahid) (community)
- **Categories:** E-commerce, Automation, Integrations
- **Stats:** 3 total users, 3 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $5.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
## John Lewis Products Details Crawler/Scraper
Extract complete product details from any John Lewis listing or brand page — prices, specs, images, descriptions, size variants, and shipping cost estimates — delivered as **JSON or CSV**, ready to connect to Google Sheets or Make.
---
### Who Is This For?
- **Retailers & resellers** who need full product data to build listings on other platforms
- **Price monitoring tools** tracking current and previous prices across John Lewis ranges
- **E-commerce teams** building product feeds with specs, images, and category data
- **Dropshippers** who need weight-based shipping cost estimates alongside product prices
No coding required. Paste your listing URLs, add your Apify token, and get a complete dataset back.
---
### How It Works — Why Two Scrapers?
John Lewis listing pages load their product grids dynamically using JavaScript, which means a standard scraper cannot see the products without rendering the page in a real browser. To handle this efficiently, this Actor is split into two steps:
````
Step 1 — John Lewis Listings Crawler (Playwright)
↓ Renders listing pages in a real browser
↓ Collects every product and colour variant URL
Step 2 — John Lewis Products Details Crawler (CheerioCrawler) ← you are here
↓ Receives the variant URLs from Step 1
↓ Extracts full product details from each page at high speed
↓ Saves structured results to dataset
````
**You only need to configure this Actor.** It automatically calls the John Lewis Listings Crawler internally using your Apify token and Actor ID, collects all variant URLs, then scrapes each product detail page for you — all in a single run.
This split design means the detail extraction step uses the lightweight and fast **CheerioCrawler** (no browser overhead) while the dynamic listing discovery is handled correctly by Playwright where it's actually needed.
---
### Input
```json
{
"actorID": "your-listings-actor-id",
"apifyToken": "your-apify-token",
"listingsUrls": [
{ "url": "https://www.johnlewis.com/brand/flexlux/_/N-pze9" }
],
"lastPageNum": 5,
"maxRequestsPerCrawl": 100,
"pricePerKG": 9,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"]
}
}
````
| Field | Type | Required | Description |
|---|---|---|---|
| `actorID` | String | ✅ | The Apify Actor ID of the **John Lewis Listings Crawler** |
| `apifyToken` | String | ✅ | Your Apify API token — used to call the Listings Crawler internally |
| `listingsUrls` | Array | ✅ | One or more John Lewis category, brand, or search page URLs |
| `lastPageNum` | Number | ✅ | How many listing pages to crawl per URL |
| `maxRequestsPerCrawl` | Number | ❌ | Cap on total product detail pages to scrape |
| `pricePerKG` | Number | ❌ | Your shipping rate in £ per kg — used to calculate `weightPrice` and `finalPrice` |
| `proxyConfiguration` | Object | ✅ | Proxy settings — Apify Residential proxy strongly recommended |
**Tip:** You can add multiple brand or category URLs to `listingsUrls` to pull data from several ranges in one run.
***
### Output
Each row in the dataset is one fully detailed product variant:
```json
{
"type": "product",
"brand": "Apple",
"color": "Midnight",
"size": null,
"name": "2026 Apple MacBook Air 13.6\", M5 Processor, 16GB RAM, 512GB SSD",
"stockStatus": "In Stock",
"previousPrice": null,
"currentPrice": "£999.00",
"promotions": null,
"reviewsCount": "2 Reviews",
"reviewsStars": "5.00 out of 5",
"breadcrumbs": ["Homepage", "Electricals", "Laptops & MacBooks"],
"categoryPath": "Homepage > Electricals > Laptops & MacBooks",
"mainCategory": "Electricals",
"subCategory": "Laptops & MacBooks",
"images": [
{ "mediaContentType": "IMAGE", "originalSource": "https://media.johnlewiscontent.com/..." }
],
"mainImage": "https://media.johnlewiscontent.com/...",
"url": "https://www.johnlewis.com/.../midnight/p115096196",
"productId": "115096196",
"productCode": "86014610",
"description": "MacBook Air with the M5 chip...",
"descriptionHtml": "MacBook Air with the M5 chip...
",
"specifications": {
"processor_type": "Apple M5",
"memory_ram": "16GB",
"screen_size_measured_diagonally": "13.60\"",
"weight": "1.23 kg",
"operating_system": "macOS",
"guarantee": "2 year guarantee included"
},
"weight": { "unit": "kg", "value": 1.23 },
"weightPrice": "£11.07",
"finalPrice": 1010.07,
"scrapedAt": "2026-04-11T16:47:23.363Z"
}
```
#### Full list of extracted fields
| Field | Description |
|---|---|
| `name` | Full product title |
| `brand` | Brand name |
| `color` | Colour variant |
| `size` | Size variant (if applicable) |
| `currentPrice` | Current selling price |
| `previousPrice` | Original price if on sale |
| `promotions` | Any active promotions |
| `stockStatus` | In Stock / Out of Stock |
| `reviewsCount` | Number of customer reviews |
| `reviewsStars` | Average star rating |
| `breadcrumbs` | Full category path as an array |
| `categoryPath` | Category path as a readable string |
| `mainCategory` | Top-level category |
| `subCategory` | Sub-category |
| `images` | All product images and video thumbnails |
| `mainImage` | Primary product image URL |
| `description` | Full description as plain text |
| `descriptionHtml` | Full description as HTML |
| `specifications` | All product specs as a key/value map |
| `productId` | John Lewis product ID |
| `productCode` | John Lewis product code |
| `weight` | Product weight with unit |
| `weightPrice` | Shipping cost estimate (`weight × pricePerKG`) |
| `finalPrice` | `currentPrice + weightPrice` combined |
| `url` | Full product variant URL |
| `scrapedAt` | Timestamp of when the record was scraped |
Results can be downloaded as **JSON** or **CSV** from the Apify dataset viewer.
***
### Integrations
- **Google Sheets** — send results automatically to a spreadsheet using the Apify Google Sheets integration
- **Make (Integromat)** — trigger workflows the moment a run completes to push data to any tool in your stack
- **Zapier** — connect to thousands of apps via the Apify Zapier integration
- **Direct download** — export as JSON or CSV from the Apify console at any time
***
### Notes
- Residential proxies are strongly recommended — John Lewis actively blocks datacenter IPs
- `weightPrice` and `finalPrice` are only calculated when `pricePerKG` is provided and the product page includes weight data
- This Actor requires the **John Lewis Listings Crawler** to be published and accessible in your Apify account
- Product specification field names reflect John Lewis's own attribute keys and may vary across categories
# Actor input Schema
## `listingsUrls` (type: `array`):
URLs to start with.
## `lastPageNum` (type: `integer`):
Last Page Number to Crawl
## `pricePerKG` (type: `integer`):
Enter a number that you want to set as price per kg. It will be applied to products weight if exist.
## `maxRequestsPerCrawl` (type: `integer`):
Maximum number of requests that can be made by this crawler.
## `apifyToken` (type: `string`):
The APIFY Key of the account where the scraper is based
## `actorID` (type: `string`):
The ID of the actor which this script to call
## `proxyConfiguration` (type: `object`):
Proxy settings to use during crawling.
## Actor input object example
```json
{
"lastPageNum": 1,
"pricePerKG": 5,
"maxRequestsPerCrawl": 100,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"proxyUrls": []
}
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"proxyUrls": []
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("alkausari_mujahid/john-lewis-products-details-crawler").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "proxyConfiguration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
"proxyUrls": [],
} }
# Run the Actor and wait for it to finish
run = client.actor("alkausari_mujahid/john-lewis-products-details-crawler").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"proxyUrls": []
}
}' |
apify call alkausari_mujahid/john-lewis-products-details-crawler --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=alkausari_mujahid/john-lewis-products-details-crawler",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "John Lewis Products Details Crawler",
"description": "Extract full product details from John Lewis — prices, specs, images, descriptions, and weight-based cost addition — Automatically calls the John Lewis Listings Crawler to discover all variant URLs, then scrapes each one at speed using CheerioCrawler. Connect to Google Sheets or Make and Shopify.",
"version": "0.0",
"x-build-id": "Gprbns3g34bKbuD0v"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/alkausari_mujahid~john-lewis-products-details-crawler/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-alkausari_mujahid-john-lewis-products-details-crawler",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/alkausari_mujahid~john-lewis-products-details-crawler/runs": {
"post": {
"operationId": "runs-sync-alkausari_mujahid-john-lewis-products-details-crawler",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/alkausari_mujahid~john-lewis-products-details-crawler/run-sync": {
"post": {
"operationId": "run-sync-alkausari_mujahid-john-lewis-products-details-crawler",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"listingsUrls": {
"title": "JL Products Listings URLs",
"type": "array",
"description": "URLs to start with.",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
},
"lastPageNum": {
"title": "Last Page Number to Crawl",
"type": "integer",
"description": "Last Page Number to Crawl",
"default": 1
},
"pricePerKG": {
"title": "Price per KG",
"type": "integer",
"description": "Enter a number that you want to set as price per kg. It will be applied to products weight if exist.",
"default": 5
},
"maxRequestsPerCrawl": {
"title": "Max Requests per Crawl",
"type": "integer",
"description": "Maximum number of requests that can be made by this crawler.",
"default": 100
},
"apifyToken": {
"title": "APIFY Token",
"type": "string",
"description": "The APIFY Key of the account where the scraper is based"
},
"actorID": {
"title": "Actor ID",
"type": "string",
"description": "The ID of the actor which this script to call"
},
"proxyConfiguration": {
"title": "Proxy Configuration",
"type": "object",
"description": "Proxy settings to use during crawling.",
"default": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"proxyUrls": []
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```