Prometheus Scraper
Spider read prometheus.io in 209 ms without a browser and returned 45 lines of clean markdown, including the section "Monitoring for the cloud native world".
PromCon EU 2026 — Oct 7–8, Munich. CFP open until July 19.DocsDownloadCommunitySupport & TrainingBlog# Open source metrics and monitoring for your systems and servicesMonitor your applications, systems, and services with the leading open source monitoring solution. Instrument, collect, store, and query your metrics for alerting, dashboarding, and other use cases.Get startedDownloadGet startedDownloadDimensional data model Prometheus models time series in a flexible dimensional data model. Time series are identified by a metric name and a set of key-value pairs.Powerful queries The PromQL query language allows you to query, correlate, and transform your time series data in powerful ways for visualizations, alerts, and more.Precise alerting Alerting rules are based on PromQL and make full use of the dimensional data model. A separate Alertmanager component handles notifications and silencing.Simple operation Prometheus servers operate independently and only rely on local storage. Developed in Go, the statically linked binaries are easy to deploy across various environments.Instrumentation libraries Prometheus provides a large number of official and community-contributed metrics instrumentation libraries that cover most major languages.Ubiquitous integrations Prometheus comes with hundreds of official and community-contributed integrations that allow you to easily extract metrics from existing systems.## Monitoring for the cloud native worldDesigned for the cloud native world, Prometheus integrates with Kubernetes and other cloud and container managers to continuously discover and monitor your services. It is the second project to graduate from the CNCF after Kubernetes.> Even though Borgmon remains internal to Google, the idea of treating time-series data as a data source for generating alerts is now accessible to everyone through those open source tools like Prometheus [...]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 prometheus.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://prometheus.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.prometheus.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 prometheus.io costs to scrape.
The capture above cost $0.000225 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 prometheus.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.