# Harrods Parser Spider (`getdataforme/harrods-parser-spider`) Actor Harrods Parser Spider is a web scraping tool that extracts product details from Harrods' website, including names, prices, images, and descriptions.... - **URL**: https://apify.com/getdataforme/harrods-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 --- ## Harrods Parser Spider ### Introduction Harrods Parser Spider is a powerful web scraping tool designed to extract detailed product information from the Harrods website. It efficiently gathers data such as product names, prices, images, and descriptions, providing valuable insights for various business applications. ### Features - **Comprehensive Data Extraction**: Captures essential product details including name, price, currency, image URLs, and descriptions. - **High-Quality Output**: Ensures reliable and accurate data suitable for analysis and reporting. - **Flexible Configuration**: Allows customization of input URLs and item limits to suit specific needs. - **Efficient Performance**: Optimized for speed and resource management during scraping operations. - **User-Friendly Setup**: Simple configuration process with clear instructions for easy deployment. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------| | `Urls` | array | Yes | The URLs for the spider to scrape. Must be valid HTTP/HTTPS links. | `["https://www.harrods.com/en-us/p/christian-louboutin-cassia-lace-up-satin-pumps-100-000000000007722569"]` | | `item_limit`| integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "Urls": [ "https://www.harrods.com/en-us/p/christian-louboutin-cassia-lace-up-satin-pumps-100-000000000007722569" ], "item_limit": 10 } ```` #### Output JSON ```json [ { "product_name": "Christian Louboutin Cassia Lace-Up Satin Pumps 100", "product_price": "1,195 USD", "product_currency": "USD", "product_image": "https://hrd-live.cdn.scayle.cloud/images/7f907ab596f1c8d3ac6c31cdcbc8d982.jpg?quality=75", "product_images": [ "https://hrd-live.cdn.scayle.cloud/images/7f907ab596f1c8d3ac6c31cdcbc8d982.jpg?quality=75", "https://hrd-live.cdn.scayle.cloud/images/4cfe5eea19bfb2d5a4a73b4f9d155232.jpg?quality=75", "https://hrd-live.cdn.scayle.cloud/images/25ff92a4bf57d6829951995eb2d71d77.jpg?quality=75", "https://hrd-live.cdn.scayle.cloud/images/820d3bb9504a0f122bb7e6c87de97c76.jpg?quality=75", "https://hrd-live.cdn.scayle.cloud/images/98aa72ce19e9dba12a307acbed5e699f.jpg?quality=75" ], "product_url": "https://www.harrods.com/en-us/p/christian-louboutin-cassia-lace-up-satin-pumps-100-000000000007722569", "description": "A resurgence of Ballet-inspired pieces was seen across the runways of the early 2020’s and has remained a key trend ever since. Christian Louboutin’s introduction into the world of Balletcore is an expert example of how to capture the essence of the mode while staying true to the Maison's inherent style codes. A pointe shoe toe box and ankle wraps take this stiletto heel to graceful new heights – literally.", "product_id": "000000000007722569", "product_code": "000000000007722569", "actor_id": "kiVz40Z8rTzUldtvj", "run_id": "vDhMaEmXkSfmNa9fI" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather competitive product data for market insights. - **Competitive Intelligence**: Monitor competitor pricing and offerings. - **Price Monitoring**: Track price changes over time to identify trends. - **Content Aggregation**: Compile product information for content creation. - **Academic Research**: Collect data for studies on consumer behavior or fashion trends. - **Business Automation**: Integrate with systems for automated inventory updates. ### Installation and Usage 1. Search for "Harrods Parser Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters as needed. 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The output is a JSON array of product objects, each containing: - `product_name`: The name of the product. - `product_price`: The price of the product. - `product_currency`: Currency code for the price. - `product_image`: URL to the main product image. - `product_images`: Array of URLs to additional images. - `product_url`: Original product page URL. - `description`: Detailed product description. - `product_id` and `product_code`: Unique identifiers for the product. - `actor_id` and `run_id`: Identifiers for the actor run. ### Error Handling The Harrods Parser Spider is designed to handle common web scraping errors gracefully. If an error occurs, such as a network issue or invalid URL, it will log the error details in the Apify console. Users can review these logs to identify and resolve issues. For persistent problems, contacting support is recommended. ### Rate Limiting and Best Practices To ensure optimal performance and avoid being blocked by Harrods' servers: - **Respect Rate Limits**: Configure the spider to adhere to polite scraping practices. - **Use Delays**: Implement delays between requests to mimic human browsing behavior. - **Monitor Logs**: Regularly check logs for any rate-limiting warnings or errors. ### Limitations and Considerations - The actor is specifically designed for Harrods.com, so it may not work with other websites without modifications. - Ensure compliance with Harrods' terms of service regarding data scraping. - Be aware that website structures can change, potentially affecting the spider's performance. Regular updates to the spider may be necessary. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Contact Us](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "Urls": [ "https://www.harrods.com/en-us/p/christian-louboutin-cassia-lace-up-satin-pumps-100-000000000007722569" ], "item_limit": 10 } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from 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 '' 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("getdataforme/harrods-parser-spider").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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("getdataforme/harrods-parser-spider").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call getdataforme/harrods-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/harrods-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Harrods Parser Spider", "description": "Harrods Parser Spider is a web scraping tool that extracts product details from Harrods' website, including names, prices, images, and descriptions....", "version": "0.0", "x-build-id": "HuT6W40pnlxSafc2Z" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~harrods-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-harrods-parser-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~harrods-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-harrods-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~harrods-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-harrods-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://www.harrods.com/en-us/p/christian-louboutin-cassia-lace-up-satin-pumps-100-000000000007722569" ], "items": { "type": "string" } }, "item_limit": { "title": "Item limit", "minimum": 0, "type": "integer", "description": "Maximum items to scrape per actor run. Set to 0 for no limit.", "default": 10 } } }, "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 } } } } } } } } } } ```