Cyberhaven Scraper
Spider read cyberhaven.io in 140 ms without a browser and returned 197 lines of clean markdown, including sections like "Risky insiders mishandle data", "Why the data security landscape has changed with AI" and "Why do existing data security approaches fall short?".
Existing data loss prevention (DLP) tools are operationally complex and fail to prevent data exfiltration across modern endpoints and cloud services.### Risky insiders mishandle dataOrganizations lack the necessary context and control to manage insider threats and accelerate their incident response effectively.## **In the AI era, your data has never been more valuable nor more difficult to protect.** Organizations that harness their unique data will out-innovate their markets. Those who lose control of it will lose trust, revenue, and momentum.More "workers" as AI agents create, transform, and move data at machine speedof alerts from legacy data security tools are false positivesof data exfiltration involves fragments and snippets, not complete filesThe chaotic reality of modern data sprawl## Why the data security landscape has changed with AIDefined Perimeters and Pure-play ToolsA simpler time: discover, classify, and label files to enforce data movement.Cloud, SaaS, & Real-time CollaborationDemocratized data broke the network perimeter, then the file perimeter, creating data fragments that evade controls.AI tools democratize intelligence, creating exponentially more fragments, derivatives, and pathways for data.Static defenses fail in a dynamic world## Why do existing data security approaches fall short?No understanding of the data“We realized our tools could detect patterns, but they
had no understanding of what the data actually was, where it came from, or why
it mattered.”Unfit for how data moves today“Our tools assumed data stayed whole. In reality, AI and collaboration tools shattered it into fragments that could no longer be labeled or tracked.”“Our team spent more time tuning rules and explaining false positives to the business than reducing risk. The tooling created friction instead of clarity.”Head of SecOps, Financial Services FirmOne platform for complete data controlThe 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 cyberhaven.io.
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://cyberhaven.io");
// 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.cyberhaven.io", {
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 cyberhaven.io costs to scrape.
The capture above cost $0.000568 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 cyberhaven.io.
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.