CareerBuilder Scraper
Spider read careerbuilder.com in 121 ms without a browser and returned 70 lines of clean markdown, including sections like "Find your next job, FAST", "Resume Tools" and "Quick Apply".
# Find your next job, FAST!Search jobs, keywords, companiesUpload Your Resume - Get noticed by top employers!## Find your next job, FAST!## How CareerBuilder Can Help## Resume ToolsUpload your resume to then see how you well you qualify for any job in your search, with the option to get additional resume feedback and help from our partners.## Quick ApplyApply smarter, not harder. Quick Apply finds jobs you’re likely to love and lets you apply to them all in one click.## Job Email Alerts### Explore trending job searches in the USA### TOP CITIES### TOP JOB TITLES### TOP SEARCHES 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 careerbuilder.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://www.careerbuilder.com/jobs?keywords=project+manager&location=Denver%2C+CO");
// 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.careerbuilder.com/jobs?keywords=project+manager&location=Denver%2C+CO");
await page.content(10000);
const data = await page.evaluate(`(() => {
const jobs = [];
document.querySelectorAll(".data-results-content-parent").forEach(el => {
const title = el.querySelector(".data-results-title")?.textContent?.trim();
const company = el.querySelector(".data-details .data-detais-company")?.textContent?.trim();
const location = el.querySelector(".data-details .data-details-location")?.textContent?.trim();
if (title) jobs.push({ title, company, location });
});
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 careerbuilder.com costs to scrape.
The capture above cost $0.000229 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
More Jobs scrapers.
Google Jobs Scraper
Extract job listings, salaries, company info, and application links from Google Jobs search.
Indeed Scraper
Extract job postings, salary estimates, company reviews, and application data from Indeed. Stealth browsing handles dynamic search results and anti-bot measures across all Indeed domains.
Glassdoor Scraper
Extract company reviews, salary data, interview questions, and job listings from Glassdoor.
Start scraping careerbuilder.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.