# John Lewis Products Listings Crawler (`alkausari_mujahid/john-lewis-products-listings-crawler`) Actor Crawl any John Lewis listing page and extract every product and colour variant URL — ready to download as JSON or CSV. Pairs perfectly with the John Lewis Product Details Crawler to build a complete product dataset. No coding needed — integrate with Google Sheets or Make in one click. - **URL**: https://apify.com/alkausari\_mujahid/john-lewis-products-listings-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 $10.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Listings Crawler/Scraper Crawl any John Lewis listing or brand page and extract every product URL — including all colour and variant links — ready to feed into your workflow or pair with the **John Lewis Product Details Crawler** for complete product data. --- ### Who Is This For? - **Retailers & resellers** who want to monitor John Lewis product ranges - **Price comparison tools** that need a full catalogue of product URLs - **E-commerce teams** building product feeds from John Lewis listings - **Dropshippers** who want to keep their inventory in sync with stock and variants No coding knowledge required. If you can paste a URL, you can run this Actor. --- ### What It Does 1. You paste one or more John Lewis **category, brand, or search listing URLs** 2. The Actor pages through the results up to your chosen page limit 3. Every product and **every colour/variant URL** is collected and saved 4. Results are delivered as a clean dataset — downloadable as **JSON or CSV** 5. Connect to **Google Sheets** or **Make (formerly Integromat)** to automate the next step --- ### Input ```json { "startUrls": [ { "url": "https://www.johnlewis.com/brand/flexlux/_/N-pze9" } ], "lastPageNum": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` | Field | Type | Required | Description | |---|---|---|---| | `startUrls` | Array | ✅ | One or more John Lewis listing, brand, or search page URLs | | `lastPageNum` | Number | ✅ | How many pages to crawl per URL (e.g. `5` = first 5 pages) | | `proxyConfiguration` | Object | ✅ | Proxy settings — Apify Residential proxy recommended for best results | **Tip:** You can add multiple brand or category URLs to `startUrls` to crawl several ranges in a single run. *** ### Output Each row in the dataset represents one product variant URL: ```json [ { "url": "https://www.johnlewis.com/flexlux-volden-relax-recliner-chair/copparo-sandy-biege/p113091750", "label": "product" }, { "url": "https://www.johnlewis.com/flexlux-volden-relax-recliner-chair/copparo-deep-forest-grey/p113091750", "label": "product" }, { "url": "https://www.johnlewis.com/flexlux-volden-relax-recliner-chair/dakota-modern-cognac-brown/p113091750", "label": "product" } ] ``` | Field | Description | |---|---| | `url` | Full product variant URL including colour/variant slug | | `label` | Always `"product"` — useful for filtering in downstream tools | Results can be downloaded as **JSON** or **CSV** directly from the Apify dataset viewer. *** ### Pair It With the John Lewis Product Details Crawler This Actor is the **first step** in a two-Actor pipeline: ``` John Lewis Listings Crawler ──► John Lewis Product Details Crawler (collects all variant URLs) (extracts full product data, sizes, prices & descriptions) ``` Feed the output URLs from this Actor directly into the **John Lewis Product Details Crawler** to get complete product information — titles, prices, size variants, descriptions, images, and more — for every URL collected. *** ### Integrations Once your dataset is ready you can connect it to your existing tools without any coding: - **Google Sheets** — use the Apify Google Sheets integration to send results directly to a spreadsheet for review or further processing - **Make (Integromat)** — trigger automated workflows the moment a run finishes, such as updating a database, sending a Slack notification, or pushing data to an eBay listing tool - **Zapier** — connect to thousands of apps using the Apify Zapier integration - **Direct download** — export as JSON or CSV from the Apify dataset page at any time *** ### Notes - Residential proxies are strongly recommended to avoid blocks on John Lewis pages - Set `lastPageNum` carefully — large ranges with many variants can produce thousands of URLs per run - This Actor collects URLs only; it does not extract product details — use the companion **John Lewis Product Details Crawler** for that # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## `lastPageNum` (type: `integer`): Last Page Number to Crawl ## `proxyConfiguration` (type: `object`): Proxy settings to use during crawling. ## Actor input object example ```json { "lastPageNum": 1, "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-listings-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-listings-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-listings-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-listings-crawler", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "John Lewis Products Listings Crawler", "description": "Crawl any John Lewis listing page and extract every product and colour variant URL — ready to download as JSON or CSV.\nPairs perfectly with the John Lewis Product Details Crawler to build a complete product dataset.\n\nNo coding needed — integrate with Google Sheets or Make in one click.", "version": "0.0", "x-build-id": "KXzvLgTRvqqobPWJC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/alkausari_mujahid~john-lewis-products-listings-crawler/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-alkausari_mujahid-john-lewis-products-listings-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/alkausari_mujahid~john-lewis-products-listings-crawler/runs": { "post": { "operationId": "runs-sync-alkausari_mujahid-john-lewis-products-listings-crawler", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/alkausari_mujahid~john-lewis-products-listings-crawler/run-sync": { "post": { "operationId": "run-sync-alkausari_mujahid-john-lewis-products-listings-crawler", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Start 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 }, "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 } } } } } } } } } } ```