# Sephora Product Scraper - Prices, Ratings & Reviews (`scrapesage/sephora-scraper`) Actor

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.

- **URL**: https://apify.com/scrapesage/sephora-scraper.md
- **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community)
- **Categories:** E-commerce, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.65 / 1,000 products

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 - Prices, Ratings & Reviews

Scrape beauty products from **Sephora** by keyword and get clean, structured data: **brand, product name, price, star rating, review count, bestseller / new / exclusive flags, image and product URL**.

Fast, and no login or API key.

### What it does

- Searches Sephora by **keyword** (`lipstick`, `mascara`, `vitamin c serum`, a brand like `Dior`, ...).
- Returns each product with **brand**, **name**, **price** (list price / range), **rating** and **review count**, sale status, and merchandising flags (bestseller, new, Sephora-exclusive, online-only).
- Paginates automatically up to your **Max products**.

### Example output

```json
{
  "type": "product",
  "productId": "P467208",
  "brand": "Lancôme",
  "name": "Lash Idôle Lash-Lifting & Volumizing Mascara",
  "sku": "2417145",
  "listPrice": "$16.00 - $30.00",
  "onSale": false,
  "rating": 4.5006,
  "reviews": 10760,
  "isBestseller": true,
  "isNew": false,
  "image": "https://www.sephora.com/productimages/sku/s2417145-main-zoom.jpg",
  "url": "https://www.sephora.com/product/...-P467208"
}
```

### Input

| Field | Description |
|---|---|
| **Search keywords** | Product keywords or brand names (one search each). |
| **Max products** | Cap across all searches. |
| **Proxy** | Default Apify proxy works; US residential IPs are the most reliable. |

### Use cases

- **Price & assortment monitoring** - track prices, ranges and sale status across the catalog.
- **Ratings & review research** - rank products by rating and review volume by category.
- **Competitive / brand analysis** - pull a brand's full lineup with pricing and social proof.
- **Product feeds** - build a structured beauty-product dataset.

### Notes

Data comes from Sephora's public catalog search API (rich product JSON), which is far more reliable than scraping the storefront HTML. `rating` is a 0-5 star average; `listPrice` may be a range when a product has multiple sizes. Use US residential proxies for the highest reliability at scale.

### Run it from an agent (MCP / API)

Agent-ready: typed input schema, structured JSON output. An agent can pull Sephora products for a keyword or brand in one step. Pass `searchQueries` and read the `product` records back.

### FAQ

**Login or key?** No. **Product detail (ingredients, shades)?** This returns catalog/search-level fields (price, rating, reviews, flags, image, URL). **Legal?** It reads publicly listed catalog data; use it in line with Sephora's terms and applicable law.

# Actor input Schema

## `searchQueries` (type: `array`):

Product keywords to search on Sephora, e.g. <code>lipstick</code>, <code>mascara</code>, <code>vitamin c serum</code>, <code>Dior</code>. One search per keyword.

## `maxResults` (type: `integer`):

Maximum number of products to return (across all searches).

## `proxyConfiguration` (type: `object`):

Proxies to use. US residential proxies give the most reliable access to Sephora.

## Actor input object example

```json
{
  "searchQueries": [
    "lipstick"
  ],
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

All scraped Sephora product records as JSON items in the default 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQueries": [
        "lipstick"
    ],
    "maxResults": 100,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesage/sephora-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchQueries": ["lipstick"],
    "maxResults": 100,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("scrapesage/sephora-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": [
    "lipstick"
  ],
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call scrapesage/sephora-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesage/sephora-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ZuWQqqGwRmIDAmOdA/builds/rMywhwn1eCnamNAhT/openapi.json