# Marks & Spencer Product Scraper (`dromb/marksandspencer-scraper`) Actor Scrape products, categories, and reviews from Marks & Spencer UK. - **URL**: https://apify.com/dromb/marksandspencer-scraper.md - **Developed by:** [Dmitriy Gyrbu](https://apify.com/dromb) (community) - **Categories:** Automation, Developer tools, E-commerce - **Stats:** 2 total users, 1 monthly users, 33.3% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.40 / 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 ## Marks & Spencer Product Scraper This unofficial actor extracts product listings, item details, filters, and navigation categories from Marks & Spencer UK. It is useful for price monitoring, retail research, product discovery, and catalog enrichment workflows. This actor is not affiliated with, endorsed by, or sponsored by Marks & Spencer. ### Quick Start ```json { "operation": "search", "query": "dress", "maxItems": 5 } ```` ### Supported Operations | Operation | Purpose | Required Input | Example | | --- | --- | --- | --- | | `search` | Search product listings by keyword. | `query` | `{"operation":"search","query":"dress","maxItems":5}` | | `category` | Browse one category listing. | `slug` or `url` | `{"operation":"category","slug":"l/home-and-furniture/lighting","maxItems":5}` | | `item` | Extract one product detail page. | `slug` or `url` | `{"operation":"item","url":"https://www.marksandspencer.com/velvet-lamp-shade/p/hbp60555148","includeReviews":true}` | | `filters` | Return filter/facet groups for a search or category context. | `query`, `slug`, or `url` | `{"operation":"filters","query":"dress"}` | | `categories` | Return top-level M\&S navigation categories. | None | `{"operation":"categories"}` | The actor also accepts old nested compatibility inputs such as `search_params`, `category_params`, and `item_params`. New clients should use the top-level fields shown above. ### Input Fields `operation` selects the workflow. `query` is used by `search` and search-based `filters`. `slug` and `url` identify category and item pages. `category_id` is accepted when a category can be resolved from navigation, but a `slug` or `url` is more reliable. `maxItems` controls listing result size and defaults to 5 in the Apify UI. `page` is 1-based. `sort` accepts values discovered from the filters output. `includeReviews` and `reviewLimit` apply to item pages when review data is present in the page payload. `proxy_configuration` accepts `direct`, `apify`, `custom`, or `auto`. Direct requests are fastest; Apify proxy is useful when direct access is blocked. ### Output For `search` and `category`, the actor pushes one metadata row followed by individual product rows. Metadata rows include `_type`, `operation`, `query` or category fields, totals, filters, category filters, sort options, and the M\&S Next.js `build_id` observed during the run. Product rows commonly include `_type`, `operation`, `id`, `product_external_id`, `slug`, `name`, `brand`, `source_url`, `price`, `discount_price`, `current_price`, `currency`, `image`, `images`, `category`, `breadcrumbs`, `in_stock`, `rating`, `review_count`, `variants`, and `promotions`. `filters` returns a structured row with filter groups, category filters, and sort options. `categories` returns a structured row containing navigation results, an ID-to-URL index, and candidate category URLs. ### Limitations M\&S pages are rendered from server-side Next.js data. If a page no longer exposes the expected payload, the operation can fail or return fewer fields. Review data is only returned when it is present in the page payload. Category IDs are not always resolvable without a fresh navigation or filter discovery step, so URL and slug inputs are recommended for category operations. ### Troubleshooting Use the default search first to confirm access. If category filtering fails with `category_id`, retry with the category `slug` or full `url`. If item extraction fails, use a product URL from a fresh search or category result. If direct access is blocked, rerun with `proxy_configuration` set to `apify`. ### Privacy And Publication This actor is intended to remain private until the owner publishes it manually. No publication or visibility changes are required for normal testing. # Actor input Schema ## `operation` (type: `string`): Operation to run. Use search for the default product search, category for category listings, item for a single product, filters for facets, or categories for navigation. ## `query` (type: `string`): Keyword to search for. Required for search and for filters when not using a category. ## `category_id` (type: `string`): M\&S category ID discovered from category filters or navigation. Slug or URL is usually more reliable. ## `slug` (type: `string`): Relative category or product path. Use for category, item, or category-based filters. ## `url` (type: `string`): Full M\&S category or product URL. Use for category, item, or category-based filters. ## `maxItems` (type: `integer`): Maximum number of product rows to retrieve for search or category. ## `page` (type: `integer`): 1-based page number to fetch. ## `sort` (type: `string`): Sort value from the filters endpoint. ## `includeReviews` (type: `boolean`): Whether to include review data for item operation when review data is available in the page payload. ## `reviewLimit` (type: `integer`): Maximum number of reviews to return for item operation. ## `proxy_configuration` (type: `string`): Proxy strategy. 'direct' is fastest; 'apify' is most robust. ## Actor input object example ```json { "operation": "search", "query": "dress", "maxItems": 5, "page": 1, "includeReviews": true, "reviewLimit": 20, "proxy_configuration": "direct" } ``` # Actor output Schema ## `results` (type: `string`): Dataset items returned by the selected operation. ## `summary` (type: `string`): Run summary JSON stored under the OUTPUT key when available. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("dromb/marksandspencer-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("dromb/marksandspencer-scraper").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 '{}' | apify call dromb/marksandspencer-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dromb/marksandspencer-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Marks & Spencer Product Scraper", "description": "Scrape products, categories, and reviews from Marks & Spencer UK.", "version": "0.1", "x-build-id": "WhiShMGXKulNaN6on" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dromb~marksandspencer-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dromb-marksandspencer-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dromb~marksandspencer-scraper/runs": { "post": { "operationId": "runs-sync-dromb-marksandspencer-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dromb~marksandspencer-scraper/run-sync": { "post": { "operationId": "run-sync-dromb-marksandspencer-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "operation" ], "properties": { "operation": { "title": "Operation", "enum": [ "search", "category", "item", "categories", "filters" ], "type": "string", "description": "Operation to run. Use search for the default product search, category for category listings, item for a single product, filters for facets, or categories for navigation.", "default": "search" }, "query": { "title": "Search Query", "type": "string", "description": "Keyword to search for. Required for search and for filters when not using a category.", "default": "dress" }, "category_id": { "title": "Category ID", "type": "string", "description": "M&S category ID discovered from category filters or navigation. Slug or URL is usually more reliable." }, "slug": { "title": "Slug", "type": "string", "description": "Relative category or product path. Use for category, item, or category-based filters." }, "url": { "title": "URL", "type": "string", "description": "Full M&S category or product URL. Use for category, item, or category-based filters." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of product rows to retrieve for search or category.", "default": 5 }, "page": { "title": "Page", "minimum": 1, "type": "integer", "description": "1-based page number to fetch.", "default": 1 }, "sort": { "title": "Sort", "type": "string", "description": "Sort value from the filters endpoint." }, "includeReviews": { "title": "Include Reviews", "type": "boolean", "description": "Whether to include review data for item operation when review data is available in the page payload.", "default": true }, "reviewLimit": { "title": "Review Limit", "minimum": 0, "maximum": 100, "type": "integer", "description": "Maximum number of reviews to return for item operation.", "default": 20 }, "proxy_configuration": { "title": "Proxy Configuration", "enum": [ "direct", "apify", "custom", "auto" ], "type": "string", "description": "Proxy strategy. 'direct' is fastest; 'apify' is most robust.", "default": "direct" } } }, "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 } } } } } } } } } } ```