Levi's Scraper
Spider read levi.com in 112 ms in a headless browser and returned 45 lines of clean markdown, including sections like "Keep It Loose", "New Loose & Baggy Jeans" and "Varsity Prep".
## Keep It LooseA looser take on prep. Styled by Rosé and SHAI.Shop Rosé’s LooksShop Shai’s Looks#### New Loose & Baggy Jeans###### Baggy Wide Leg Roomy and laid-back with that sought-after baggy fit and wide leg that keeps it comfortable.###### Loose Taper Slouchy where it counts, tapered where it matters. All of the charm of your favorite vintage pair.###### Men’s Jeans Guide From slim to relaxed, find the fit that's right for you.###### Women’s Jeans Guide New shapes. New proportions. New favorites.## Varsity PrepReimagined stripes and bold colors bring playful energy to collegiate layers.## Top Levi’s® Must-HavesSee Men's PicksSee Women's Picks - Open levi.com in a real browser
- Wait for the page to finish rendering
- Scroll to load content that arrives lazily
- Collect the repeated result blocks
.lsco-row
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 levi.com.
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://levi.com/");
// Wait for the page to finish rendering
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)");
await page.waitForSelector(".lsco-row");
// 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!,
stealth: 2,
});
await spider.connect();
const page = spider.page!;
await page.goto("https://www.levi.com/US/en_US/clothing/men/jeans/c/levi_clothing_men_jeans");
const data = await page.extractFields({
heading: "h1",
products: { selector: ".product-tile__name", all: true },
prices: { selector: ".product-tile__price", all: true },
fits: { selector: ".product-tile__fit", all: true },
washes: { selector: ".product-tile__wash-count", all: true },
});
console.log(data);
await spider.close(); 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 levi.com costs to scrape.
The capture above cost $0.000616 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 levi.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.