# Lauramercier Actor (`getdataforme/my-lauramercier-actor`) Actor Scrape product details from Laura Mercier's official website with the Lauramercier Scraper Apify Actor. Extract key data like product names, prices, descriptions, images, and SKUs from any product page. Effortlessly gather data for e-commerce analysis and inventory management. Start scraping today! - **URL**: https://apify.com/getdataforme/my-lauramercier-actor.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** E-commerce - **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $15.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 Here's the documentation for the *Lauramercier Scraper* Apify actor: --- ## **Lauramercier Scraper** **Scrape Lauramercier Data from Web Pages** This Apify actor is designed to scrape product data from the Laura Mercier website, extracting details like product name, price, image, description, and SKU from the specified pages. #### **How it Works** Simply run the **Lauramercier Scraper** actor to extract detailed information from specified product pages on the Laura Mercier website. You can input a list of URLs, and the actor will return structured data about each product. #### **Input Schema** The input for this actor consists of a list of URLs of the Laura Mercier product pages you want to scrape. Below is the JSON format for the input: ```json { "title": "Scrape Lauramercier data from web pages", "type": "object", "schemaVersion": 1, "properties": { "urls": { "title": "List of URLs of the Lauramercier pages", "type": "array", "description": "A list of URLs of the web pages you want to scrape data from.", "editor": "stringList", "prefill": [ "https://www.lauramercier.com/products/caviar-stick-eye-shadow?variant=45133280215279" ] } }, "required": ["urls"] } ```` #### **Output Result** Once the scraper runs successfully, the result will be a list of products, with each product containing the following fields: - `product_name`: Name of the product. - `product_price`: Price of the product. - `product_image`: URL of the product image. - `product_url`: URL of the product page. - `description`: A detailed description of the product. - `sku`: The product SKU. #### **Sample Output:** ```json [ { "product_name": "Almond Coconut Serum Body Cream", "product_price": "76.0 USD", "product_image": "https://www.lauramercier.com/cdn/shop/products/LM_SP23_BB_Silo_BodyCreme_AlmondCoconut_3000x3000_R300.png?v=1681833865&width=1024", "product_url": "https://www.lauramercier.com/products/almond-coconut-serum-body-cream", "description": "Laura’s fragrance inspiration combines two of her favorite notes to create a unique interpretation all her own. Inspired by the aroma of Almond and Coconut, Laura Mercier created this seductive, warm and comforting blend of aromas. Discover succulent notes of Coconut, Almond and Vanilla, combined with Heliotrope and Musk for a rich, sensual and alluring experience.", "sku": "42304467101" }, { "product_name": "Caviar Stick Eye Shadow", "product_price": "33.0 USD", "product_image": "https://www.lauramercier.com/cdn/shop/files/LM_SP24_CSEC_Silo_Open_Amethyst_3000x3000_R150_5634833a-8fa6-4400-ac0c-2b71fad3fcb5.png?v=1715952900&width=1024", "product_url": "https://www.lauramercier.com/products/caviar-stick-eye-shadow", "description": "24-hour life-proof formula delivers an effortless, easy-to-blend application with the perfect amount of playtime. Creamy color glides onto lids, providing rich payoff for a range of chic, customizable eye looks.", "sku": "45000028203" } ] ``` #### **Running the Actor** To run the **Lauramercier Scraper**, provide a list of URLs from the Laura Mercier website where you want to scrape product data. The actor will process these pages and return structured data for each product. #### **Support** For any customizations, questions, or issues, please contact support at or report an issue [here](https://getdataforme.com/contact/). *** This documentation explains how to use the **Lauramercier Scraper** actor, provides an example input and output, and includes support contact details. Let me know if you'd like any changes! # Actor input Schema ## `urls` (type: `array`): A list of URLs of the web pages you want to scrape data from. ## Actor input object example ```json { "urls": [ "https://www.lauramercier.com/products/caviar-stick-eye-shadow?variant=45133280215279" ] } ``` # 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 = { "urls": [ "https://www.lauramercier.com/products/caviar-stick-eye-shadow?variant=45133280215279" ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/my-lauramercier-actor").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 = { "urls": ["https://www.lauramercier.com/products/caviar-stick-eye-shadow?variant=45133280215279"] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/my-lauramercier-actor").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 '{ "urls": [ "https://www.lauramercier.com/products/caviar-stick-eye-shadow?variant=45133280215279" ] }' | apify call getdataforme/my-lauramercier-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/my-lauramercier-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Lauramercier Actor", "description": "Scrape product details from Laura Mercier's official website with the Lauramercier Scraper Apify Actor. Extract key data like product names, prices, descriptions, images, and SKUs from any product page. Effortlessly gather data for e-commerce analysis and inventory management. Start scraping today!", "version": "0.0", "x-build-id": "Q2CnJ2ma3Fm4XuxbM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~my-lauramercier-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-my-lauramercier-actor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~my-lauramercier-actor/runs": { "post": { "operationId": "runs-sync-getdataforme-my-lauramercier-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~my-lauramercier-actor/run-sync": { "post": { "operationId": "run-sync-getdataforme-my-lauramercier-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "List of URLs of the Lauramercier pages", "type": "array", "description": "A list of URLs of the web pages you want to scrape data from.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```