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AI Studio  add-on for Spider.
levi.com · HTTP 200

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".

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Response levi.com/index.md markdown · 45 lines
## 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
Code · Fields · Cost · Run it keyless, no account
Browser steps we run on levi.com
  1. Open levi.com in a real browser
  2. Wait for the page to finish rendering
  3. Scroll to load content that arrives lazily
  4. 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.

levis-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://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();
ready to run · spider-browser, steps from the live page

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Fields you can pull.

Product namePriceFitWashColorsSizesRatingReview count

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
See the full pricing →

Run it keyless, no account

curl -X POST https://api.spider.cloud/scrape -H "Content-Type: application/json" -d '{"url": "https://levi.com/", "return_format": "markdown"}'

More E-Commerce scrapers.

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.