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Sephora Scraper

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Scrape Sephora product catalogs, search results, brands, prices, ratings, reviews, product details, and store availability. Choose a department, search any keyword, enrich selected products, or target international markets: 🇺🇸 🇫🇷 🇩🇪 🇮🇹 🇸🇬.

Pricing

from $4.99 / 1,000 dataset items

Rating

0.0

(0)

Developer

Fetch Finch

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

E-commerce

Automation

Developer tools

You can access the Sephora Scraper 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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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            ],
            "type": "string",
            "description": "Catalog refreshes product listings and brands. Brands only collects the complete brand directory. Search finds products by keyword. Details enriches the persistent queue. Full runs catalog and details. The default preview searches one page for perfume.",
            "default": "search"
          },
          "emitChangesOnly": {
            "title": "Output changed records only",
            "type": "boolean",
            "description": "Output only product and brand records whose meaningful data changed since the previous run. The run summary is always included. Leave off for a complete snapshot.",
            "default": false
          },
          "cacheStoreName": {
            "title": "Persistent cache name",
            "type": "string",
            "description": "Optional stable name for reusing cache and progress across scheduled runs. Leave blank to keep state isolated to this run."
          },
          "catalogScope": {
            "title": "Catalog scope",
            "enum": [
              "core",
              "all-roots"
            ],
            "type": "string",
            "description": "Core departments avoid curated category overlap. All roots maximizes coverage.",
            "default": "core"
          },
          "searchQueries": {
            "title": "Search terms",
            "maxItems": 5,
            "type": "array",
            "description": "One or more product search terms, for example perfume, vitamin C serum, or Rare Beauty. Used when Run mode is Search.",
            "items": {
              "type": "string",
              "minLength": 1
            },
            "default": [
              "perfume"
            ]
          },
          "maxSearchPages": {
            "title": "Pages per search",
            "minimum": 1,
            "maximum": 50,
            "type": "integer",
            "description": "Maximum result pages to fetch for each search term. Results stop automatically when the search is exhausted.",
            "default": 1
          },
          "maxCatalogPages": {
            "title": "Catalog pages per run",
            "minimum": 1,
            "maximum": 317,
            "type": "integer",
            "description": "Maximum listing pages in this run. Each page contains up to 60 products; the actor resumes from its saved cursor.",
            "default": 1
          },
          "maxDetails": {
            "title": "Product details per run",
            "minimum": 0,
            "maximum": 500,
            "type": "integer",
            "description": "Maximum detail requests from the persistent queue, including explicitly supplied IDs.",
            "default": 0
          },
          "detailProductIds": {
            "title": "Product IDs to enrich",
            "type": "array",
            "description": "Optional explicit US Sephora product IDs such as P442563. They are processed before the persistent queue.",
            "items": {
              "type": "string"
            }
          },
          "enableInternational": {
            "title": "Enable international modes",
            "type": "boolean",
            "description": "Enables only the explicitly configured EU and Asia jobs below.",
            "default": false
          },
          "euLocales": {
            "title": "EU locales",
            "type": "array",
            "description": "Supported locales include fr-FR, de-DE, and it-IT.",
            "default": [
              "fr-FR"
            ],
            "items": {
              "type": "string"
            }
          },
          "euQueries": {
            "title": "EU catalog queries",
            "type": "array",
            "description": "Targeted EU search terms. Full EU crawling is intentionally not enabled by default.",
            "items": {
              "type": "string"
            }
          },
          "euProductIds": {
            "title": "EU product IDs",
            "type": "array",
            "description": "EU product IDs for detail requests, for example 781301.",
            "items": {
              "type": "string"
            }
          },
          "asiaMarkets": {
            "title": "Asia markets",
            "type": "array",
            "description": "Objects with country and language, for example {\"country\":\"SG\",\"language\":\"en-SG\"}."
          },
          "asiaQueries": {
            "title": "Asia catalog queries",
            "type": "array",
            "description": "Objects with country, language, and query for targeted Asia listing jobs."
          },
          "asiaProductIds": {
            "title": "Asia product details",
            "type": "array",
            "description": "Objects with country, language, and id for targeted Asia detail requests."
          },
          "includeReviews": {
            "title": "Include reviews",
            "type": "boolean",
            "description": "Fetch one paginated review page for explicitly selected US products.",
            "default": false
          },
          "reviewProductIds": {
            "title": "Review product IDs",
            "type": "array",
            "description": "US product IDs for review harvesting, such as P442563.",
            "items": {
              "type": "string"
            }
          },
          "reviewPageSize": {
            "title": "Reviews per request",
            "minimum": 1,
            "maximum": 100,
            "type": "integer",
            "description": "Number of reviews requested per product review page.",
            "default": 10
          },
          "includeAvailability": {
            "title": "Include availability",
            "type": "boolean",
            "description": "Fetch product availability for explicit products and locations.",
            "default": false
          },
          "availabilityProductIds": {
            "title": "Availability product IDs",
            "type": "array",
            "description": "US product IDs. The cached catalog SKU is used when available.",
            "items": {
              "type": "string"
            }
          },
          "locations": {
            "title": "Store locations",
            "type": "array",
            "description": "Objects with latitude, longitude, and optional radius in miles."
          }
        }
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              "userId": {
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              "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"
                  }
                }
              },
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                "type": "object",
                "properties": {
                  "inputBodyLen": {
                    "type": "integer",
                    "example": 2000
                  },
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                    "type": "integer",
                    "example": 0
                  },
                  "restartCount": {
                    "type": "integer",
                    "example": 0
                  },
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                    "type": "integer",
                    "example": 0
                  },
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                    "example": 0
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                }
              },
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                    "type": "string",
                    "example": "latest"
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                    "type": "integer",
                    "example": 300
                  },
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                    "example": 1024
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                    "type": "integer",
                    "example": 2048
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              "buildId": {
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              "defaultKeyValueStoreId": {
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                "example": "1.0.0"
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              "usage": {
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                    "example": 0
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                  "DATASET_WRITES": {
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                  },
                  "KEY_VALUE_STORE_READS": {
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                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "integer",
                    "example": 1
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
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                    "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": {
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                    "example": 0
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                  "DATASET_READS": {
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                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
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                    "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": {
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                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
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}

Sephora Product Catalog & Reviews Scraper OpenAPI definition

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 Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Sephora Scraper API in Python

Sephora Scraper API in JavaScript

Sephora Scraper API through CLI

Sephora Scraper API

Sephora Scraper [$2/1K💰] Products, Reviews & Q&A

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scrapesage/sephora-scraper

Scrape beauty products from Sephora by keyword: brand, product name, price, star rating, review count, bestseller/new/exclusive flags, image and product URL. No login, no key. Export JSON, CSV, Excel. Independent tool, not affiliated with Sephora.

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scraped/sephora-reviews-and-questions-scraper

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Sephora Search Scraper

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The ultimate Sephora product scraper. Extract search results for any keyword with real-time pricing, star ratings, reviews, and badges. Perfect for beauty market research and price tracking. Fast, reliable & easy to use! 🚀

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powerai/sephora-products-scraper

Scrape beauty products from Sephora.fr with automatic pagination and comprehensive product data extraction including prices, reviews, and shades.

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khadinakbar/sephora-product-scraper

Extract public Sephora US products from keyword searches or product pages. Returns normalized product identity, price, availability, rating aggregates, ingredients, images, variants, source URLs, and collection time for beauty catalog research.