# Sephora Product Scraper (`moving_beacon-owner1/sephora-product-scraper`) Actor Scrape Sephora products by keyword, including name, brand, price, rating, reviews, image, and product URL. Optionally fetch detailed information such as description, ingredients, usage instructions, size, and loves count. - **URL**: https://apify.com/moving\_beacon-owner1/sephora-product-scraper.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.99 / 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Sephora Product Scraper Scrape **Sephora** products by keyword — name, brand, price, sale price, rating, review count, image, and URL. Optional full-detail enrichment adds description, ingredients, usage, size, and loves count. ### Input | Field | Type | Default | Notes | |-------|------|---------|-------| | `searchQueries` | string[] | `["serum"]` | Keywords to search. One row per product found. | | `maxItemsPerQuery` | integer | `120` | Cap products per query (0 = all). | | `pageSize` | integer | `60` | Results per request (Sephora max is 60). | | `fetchProductDetails` | boolean | `false` | Extra request per product for description, ingredients, SKUs, etc. Slower. | | `country` | string | `US` | Storefront country. | | `proxyConfiguration` | object | US Apify proxy | Recommended (see below). | #### Example input ```json { "searchQueries": ["vitamin c serum", "foundation", "Dior"], "maxItemsPerQuery": 120, "pageSize": 60, "fetchProductDetails": false, "country": "US", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyCountry": "US" } } ```` ### Output ```json { "query": "vitamin c serum", "product_id": "P472500", "name": "C-Firma Fresh Day Serum", "brand": "Drunk Elephant", "price": "$78.00", "sale_price": null, "sku_id": "2360853", "rating": 4.3, "reviews": 1420, "image": "https://www.sephora.com/productimages/sku/...-135.jpg", "url": "https://www.sephora.com/product/..." } ``` With `fetchProductDetails: true`, rows also include `description`, `ingredients`, `how_to_use`, `size`, `sku_count`, and `loves_count`. ### Proxy Sephora doesn't hard-block, but it **rate-limits by IP** and serves pricing by region. Use a **US Apify proxy** (the default) for accurate US prices and to avoid throttling on larger runs. Residential is most reliable; datacenter usually works for light use. # Actor input Schema ## `searchQueries` (type: `array`): Keywords to search on Sephora (e.g. 'vitamin c serum', 'foundation', 'Dior'). One dataset row per product found. ## `maxItemsPerQuery` (type: `integer`): Stop after this many products per query (0 = all available). ## `pageSize` (type: `integer`): Page size sent to Sephora's search API (max 60). ## `fetchProductDetails` (type: `boolean`): For each product, make an extra request for full details (description, ingredients, all SKUs, images). Slower and heavier, but richer data. ## `country` (type: `string`): Storefront country for pricing/availability. ## `proxyConfiguration` (type: `object`): Recommended. Sephora rate-limits by IP; a US Apify proxy gives accurate US pricing and avoids throttling. Residential is most reliable but datacenter usually works. ## Actor input object example ```json { "searchQueries": [ "vitamin c serum", "moisturizer" ], "maxItemsPerQuery": 120, "pageSize": 60, "fetchProductDetails": false, "country": "US", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyCountry": "US" } } ``` # 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 = { "searchQueries": [ "vitamin c serum", "moisturizer" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/sephora-product-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 = { "searchQueries": [ "vitamin c serum", "moisturizer", ], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/sephora-product-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 '{ "searchQueries": [ "vitamin c serum", "moisturizer" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyCountry": "US" } }' | apify call moving_beacon-owner1/sephora-product-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/sephora-product-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Sephora Product Scraper", "description": "Scrape Sephora products by keyword, including name, brand, price, rating, reviews, image, and product URL. Optionally fetch detailed information such as description, ingredients, usage instructions, size, and loves count.", "version": "0.0", "x-build-id": "eOSbGS6SwMmCiBUWT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~sephora-product-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-sephora-product-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~sephora-product-scraper/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-sephora-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~sephora-product-scraper/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-sephora-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQueries" ], "properties": { "searchQueries": { "title": "Search queries", "type": "array", "description": "Keywords to search on Sephora (e.g. 'vitamin c serum', 'foundation', 'Dior'). One dataset row per product found.", "default": [ "serum" ], "items": { "type": "string" } }, "maxItemsPerQuery": { "title": "Max products per query", "minimum": 0, "type": "integer", "description": "Stop after this many products per query (0 = all available).", "default": 120 }, "pageSize": { "title": "Products per request", "minimum": 1, "maximum": 60, "type": "integer", "description": "Page size sent to Sephora's search API (max 60).", "default": 60 }, "fetchProductDetails": { "title": "Fetch full product details", "type": "boolean", "description": "For each product, make an extra request for full details (description, ingredients, all SKUs, images). Slower and heavier, but richer data.", "default": false }, "country": { "title": "Country", "enum": [ "US", "CA" ], "type": "string", "description": "Storefront country for pricing/availability.", "default": "US" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Recommended. Sephora rate-limits by IP; a US Apify proxy gives accurate US pricing and avoids throttling. Residential is most reliable but datacenter usually works.", "default": { "useApifyProxy": true, "apifyProxyCountry": "US" } } } }, "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 } } } } } } } } } } ```