Sephora Scraper

Extract beauty product listings, shade ranges, pricing, and customer reviews from Sephora product catalog pages. Built on spider-browser .

Get started Docs

target
sephora.com: success rate
99.9%: latency
~4ms

Quick start

Extract data in minutes.

sephora-scraper.ts

import { SpiderBrowser } from "spider-browser";

const spider = new SpiderBrowser({
  apiKey: process.env.SPIDER_API_KEY!,
  stealth: 2,
});

await spider.connect();
const page = spider.page!;
await page.goto("https://www.sephora.com/shop/foundation-makeup");
await page.content();

const data = await page.evaluate(`(() => {
  const items = [];
  document.querySelectorAll("[data-comp='ProductGrid'] [data-comp='ProductTile']").forEach(el => {
    const brand = el.querySelector("[data-at='sku_item_brand']")?.textContent?.trim();
    const name = el.querySelector("[data-at='sku_item_name']")?.textContent?.trim();
    const price = el.querySelector("[data-at='sku_item_price_list']")?.textContent?.trim();
    const rating = el.querySelector("[data-comp='StarRating']")?.getAttribute("aria-label");
    if (name) items.push({ brand, name, price, rating });
  });
  return JSON.stringify({ total: items.length, items: items.slice(0, 10) });
})()`);

console.log(JSON.parse(data));
await spider.close();

ready to run · spider-browser · TypeScript

Fetch API

One endpoint for sephora.com.

Structured JSON from sephora.com with a single POST. AI-resolved selectors, cached on the first call.

POST /fetch/sephora.com/

Product nameBrandPriceRatingReview countShade range

Try it Fetch docs

cURL

curl -X POST https://api.spider.cloud/fetch/sephora.com/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'

Python

import requests

resp = requests.post(
    "https://api.spider.cloud/fetch/sephora.com/",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json={"return_format": "json"},
)
print(resp.json())

Node.js

const resp = await fetch("https://api.spider.cloud/fetch/sephora.com/", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ return_format: "json" }),
});
const data = await resp.json();
console.log(data);

Extraction

Fields you can pull.

Product nameBrandPriceRatingReview countShade rangeSizeIngredients

Pricing

Real-time price data

Monitor product prices, discounts, and availability changes on sephora.com.

Anti-Bot

Protection bypass

Automated CAPTCHA solving and fingerprint rotation to access product pages reliably.

Scale

Bulk extraction

Process thousands of product pages concurrently with smart retry and browser switching.

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Start

Start scraping sephora.com.

Grab an API key and call the endpoint above. The first request resolves the config; every request after hits cache.

Get started free All scrapers