Sephora
Pricing
from $5.00 / 1,000 product-pages
Scrape products from Sephora US, Canada and UK websites. Includes reviews, Q&As and ingredients. Fast and efficient.
Pricing
from $5.00 / 1,000 product-pages
Rating
0.0
(0)
Developer
datasaurus
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
20 hours ago
Last modified
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You can access the Sephora programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.1", "x-build-id": "ILgjFB8GfcuODWBPP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/datasaurus~sephora/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-datasaurus-sephora", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/datasaurus~sephora/runs": { "post": { "operationId": "runs-sync-datasaurus-sephora", "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/datasaurus~sephora/run-sync": { "post": { "operationId": "run-sync-datasaurus-sephora", "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": [ "start_urls" ], "properties": { "start_urls": { "title": "Start URLs - main site, category, brand, or product page", "uniqueItems": true, "type": "array", "description": "UK (sephora.co.uk), US (sephora.com), or EU (sephora.fr/de/it — detected and aborted).\nWebsite: https://www.sephora.co.uk/\nCategory: https://www.sephora.co.uk/makeup\nBrand: https://www.sephora.co.uk/brands/fenty-hair\nProduct: https://www.sephora.co.uk/p/benefit-cosmetics-benetint-lip-cheek-stain\nUS category: https://www.sephora.com/shop/foundation\nUS brand: https://www.sephora.com/brand/fenty", "default": [ { "url": "https://www.sephora.co.uk/makeup" } ], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "scrape_product_page": { "title": "Scrape Product Page for full details, ingredients, reviews and Q&A", "type": "boolean", "description": "UK: scrapes each product page for full details, ingredients, reviews and Q&A.\nNote: this is automatically enabled when max_reviews or max_question_answers are greater than 0.", "default": false }, "max_products": { "title": "Max Products - Maximum number of products to scrape per start url", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of products to scrape. Use lower numbers for testing.", "default": 10 }, "max_products_per_category": { "title": "Max Products per Category - applies when scraping whole site. Leave blank to use Max Products as the per-category limit.", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of products to scrape per category when scraping the whole site. Leave blank to use Max Products as the per-category limit." }, "max_reviews": { "title": "Max Reviews per product – set to 0 to turn off", "minimum": 0, "maximum": 100, "type": "integer", "description": "Maximum number of reviews to fetch per product. Set to 0 to turn off review scraping.\nSetting this above 0 automatically enables product page scraping and charges the product-page event per product.", "default": 10 }, "max_question_answers": { "title": "Max Question Answers per product – set to 0 to turn off", "minimum": 0, "maximum": 100, "type": "integer", "description": "Maximum number of question/answer entries to fetch per product. Set to 0 to turn off Q&A scraping.\nSetting this above 0 automatically enables product page scraping and charges the product-page event per product.", "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Sephora from the options below:
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