Loreal Scraper
Spider read loreal.com in 387 ms without a browser and returned 74 lines of clean markdown, including sections like "Alexis Perakis-Valat", "Stephanie Kramer" and "Matthew DiGirolamo".
#### Alexis Perakis-Valat**Chief Executive Officer, L’Oréal USA#### Stephanie Kramer**Chief Human Resources Officer, L’Oréal USA **#### Matthew DiGirolamo**Chief Corporate Affairs & Engagement Officer, North America**#### Gina Meggo#### Damien Favre**President, L'Oréal Dermatological Beauty, North America**#### Ali Goldstein**President of Acquisitions, L'Oréal USA**#### Christina Fair**President, Consumer Products Division, North America**#### Maxime De Boni**President, Research & Innovation, North America**#### Filip Spacek#### **Susannah Greenberg**** Chief Information Officer, Americas Zone**#### **Marissa Pagnani McGowan****Chief Sustainability Officer, North America**#### Philippe Fau#### Thomas Sarakatsannis**Senior Vice President, General Counsel, Americas Zone**#### Han Wen****Chief Digital & Marketing Officer, L’Oréal USA ****#### Silvia Galfo** President, L'Oréal Luxe USA**#### Rahquel Purcell**Chief Transformation Officer, North America**#### Pankaj Gupta**Chief Operations Officer, North America**The same call, in code.
The capture above came back as markdown. These examples add a key, so you get browser rendering, proxies, and concurrency on loreal.com.
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://loreal.com");
// No selectors, no schema. Spider reads the page and names the fields.
const data = await page.scrape();
console.log(data);
await spider.close();import { Spider } from "@spider-cloud/spider-client";
const spider = new Spider({ apiKey: process.env.SPIDER_API_KEY! });
const result = await spider.scrapeUrl("https://www.loreal.com", {
return_format: "markdown",
});
console.log(result);Ready for volume? Get an API key →
Fields you can pull.
Spider names these from the page. The capture above came back as markdown; the same
call with return_format: "json" returns them as keys.
What loreal.com costs to scrape.
The capture above cost $0.000296 to fetch. Pricing is $1 per GB of pre-transformation bandwidth plus $0.001 per CPU minute, so a page like this one lands at a fraction of a cent. Failed requests are billed at $0.
- Free balance on signup
- No card required to test
- Balance never expires
Run it keyless, no account
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Start scraping loreal.com.
You already have the call. A key raises the rate limit and turns on browser rendering, proxies, and concurrency. Balance never expires, and top-ups go through secure checkout.