Glossier Beauty Scraper
Extract skincare and makeup product details, shade ranges, and reviews from Glossier product pages.
- target
- glossier.com
- success rate
- 99.9%
- latency
- ~4ms
/fetch/glossier.com/ curl -X POST https://api.spider.cloud/fetch/glossier.com/ \ -H "Authorization: Bearer $SPIDER_API_KEY" \ -H "Content-Type: application/json" \ -d '{}'
{
"url": "https://glossier.com/",
"status": 200,
"data": {
"product_name": "string",
"price": "string",
"shade_range": "string",
"rating": "string",
"review_count": "string",
"description": "string",
"ingredients": "string",
"image_url": "string"
}
} # Glossier Beauty Scraper
**Product name**: string
**Price**: string
**Shade range**: string
**Rating**: string
**Review count**: string
**Description**: string
**Ingredients**: string
**Image URL**: string Extract data in minutes.
Structured JSON from glossier.com with a single POST. Call it with no selectors and the model names the fields, or pass your own CSS to skip the AI.
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.glossier.com/products");
// No selectors, no schema. Spider reads the page and names the fields.
const data = await page.scrape();
console.log(data);
await spider.close(); import { SpiderBrowser } from "spider-browser";
const spider = new SpiderBrowser({
apiKey: process.env.SPIDER_API_KEY!,
});
await spider.connect();
const page = spider.page!;
await page.goto("https://www.glossier.com/products");
await page.content();
const data = await page.evaluate(`(() => {
const items = [];
document.querySelectorAll("[data-testid='product-card']").forEach(el => {
const name = el.querySelector("[data-testid='product-card-name']")?.textContent?.trim();
const price = el.querySelector("[data-testid='product-card-price']")?.textContent?.trim();
const subtitle = el.querySelector("[data-testid='product-card-subtitle']")?.textContent?.trim();
if (name) items.push({ name, price, subtitle });
});
return JSON.stringify({ total: items.length, items: items.slice(0, 10) });
})()`);
console.log(JSON.parse(data));
await spider.close(); curl -X POST https://api.spider.cloud/fetch/glossier.com/ \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{}' import requests
resp = requests.post(
"https://api.spider.cloud/fetch/glossier.com/",
headers={
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json",
},
json={},
)
print(resp.json()) const resp = await fetch("https://api.spider.cloud/fetch/glossier.com/", {
method: "POST",
headers: {
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json",
},
body: JSON.stringify({}),
});
const data = await resp.json();
console.log(data); Fields you can pull.
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Start scraping glossier.com.
Grab an API key and call the endpoint above. The first request resolves the config; every request after hits cache.