Lever Scraper
Spider read lever.co in 159 ms without a browser and returned 93 lines of clean markdown, including sections like "Trending Reads of Winning Teams" and "Lever FAQs: Your Questions, Answered".
"Lever combined with the work of our Excellence team, provides a structured data foundation that enables us to take recruiting to the next level of process optimization and strategic decision-making."People Analytics Manager, Emma Sleep GmbH## Trending Reads of Winning Teamscandidate-experience### 7 Job Seeker Statistics Every Recruiter Should Know About in 2026 Seven job seeker statistics from Job Seeker Nation 2026 on candidate experience, AI in hiring, skills-based hiring, and recruiting strategy. Case Study### How Lucidworks Scales Efficient Hiring with Lever A lean recruiting team uses Lever to automate workflows, manage candidate pipelines, and give leadership clearer hiring visibility. hiring-strategy### The Great Pause, Trust, and Why Candidates Are Thinking Twice Learn why candidates are pressing pause on their job search, and how hiring teams can rebuild candidate trust through AI transparency and skills-based hiring.## Lever FAQs: Your Questions, AnsweredLever is a modern applicant tracking system (ATS) and recruiting CRM that helps companies attract, nurture, and hire top talent faster. Built for growing and enterprise teams, Lever combines candidate relationship management, automation, analytics, and collaborative hiring tools in one platform.Lever is built for small, mid-sized and enterprise organizations that need to scale hiring efficiently. It's ideal for talent acquisition teams focused on improving recruiter productivity, candidate experience, and hiring outcomes across multiple departments or locations.How does Lever compare to Greenhouse or Ashby?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 lever.co.
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://jobs.lever.co/netflix");
// 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://jobs.lever.co/netflix");
const data = await page.evaluate(`(() => {
const jobs = [];
document.querySelectorAll(".posting").forEach(el => {
const title = el.querySelector("h5 a")?.textContent?.trim();
const location = el.querySelector("[class*='location'], [class*='categories'] span:nth-child(1)")?.textContent?.trim();
const team = el.querySelector("[class*='team'], [class*='department']")?.textContent?.trim();
const commitment = el.querySelector("[class*='commitment'], [class*='type']")?.textContent?.trim();
const link = el.querySelector("h5 a")?.getAttribute("href");
if (title) jobs.push({ title, location, team, commitment, link });
});
return JSON.stringify({ total: jobs.length, jobs: jobs.slice(0, 15) });
})()`);
console.log(JSON.parse(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 lever.co costs to scrape.
The capture above cost $0.000221 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 lever.co.
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.