Noaa Scraper
Spider read spc.noaa.gov in 493 ms without a browser and returned 243 lines of clean markdown, including sections like "Watches", "Outlooks" and "Fire".
## Watches## MDs## Outlooks## FireSevere Weather Climatology (1994-2024)Any Severe Probabilities: 07Sig Severe Probabilities: 07Damaging Wind Probabilities: 07Severe Hail Probabilities: 07Significant Tornado Probabilities: 07Significant Wind Probabilities: 07Significant Hail Probabilities: 07La tormenta factor de riesgo.#TornadoStrong: A Partnership with FLASHTornado Environment BrowserWildfire Climatology (1992-2020)100 Acres Wildfire Probabilities: 07300 Acres Wildfire Probabilities: 071000 Acres Wildfire Probabilities: 075000 Acres Wildfire Probabilities: 07Squitieri, B.J., A.R. Wade, and I.L. Jirak, 2026: [On a Comprehensive Archive for Derechosacross the Contiguous United States](https://spc.noaa.gov/publications/squitieri/squitieri_wade_jirak_2026.pdf). Published in *Bull. Amer. Meteor. Soc.*. [6300K PDF]Chalmers, Z. A., M. D. Parker, 2026: [Variability in High-Shear, Low-CAPE QLCS Environments in the SoutheasternUnited States](https://spc.noaa.gov/publications/chalmers/chalmers_parker_2026.pdf). Published in *Wea. Forecasting*. [21500K PDF]Lyons, A. D., R. L. Thompson, B. T. Smith, H. G. Weinman, and A. R. Dean, 2026: Convective Mode Classification and Distribution of Contiguous U.S. Tornado Events from 2003 to 2023. Published in *Wea. Forecasting*. [19600K PDF]Harrison, D.R., A. McGovern, C.D. Karstens, A. Bostrom, I.L. Jirak, and P.T. Marsh, 2025: Leveraging Coproduction to Bridge Research and Operations in Operational Meteorology. Published in *Wea. Forecasting*. [6601K PDF]Harrison, D.R., A. McGovern, C.D. Karstens, A. Bostrom, I.L. Jirak, and P.T. Marsh, 2025: An Assessment of How Domain Experts Evaluate Machine Learning in Operational Meteorology. Published in *Wea. Forecasting*. [16916K PDF]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 spc.noaa.gov.
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://spc.noaa.gov");
// 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.spc.noaa.gov", {
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 spc.noaa.gov costs to scrape.
The capture above cost $0.000106 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 spc.noaa.gov.
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.