Keras Scraper
Spider read keras.io in 154 ms without a browser and returned 208 lines of clean markdown, including sections like "LLAMA", "STABLE DIFFUSION" and "MISTRAL".
Google’s family of lightweight language models built from the same research and technology used to create Gemini.#### LLAMAMeta’s flagship open text generation models available in a wide range of sizes and precisions.#### STABLE DIFFUSIONGenerate image content with this state of the art diffusion model from Stability AI.#### MISTRALA generative language from the French company Mistral AI, making frontier models accessible to all.## Code examples### Computer visionTake a look at our examples for doing image classification, object detection, video processing, and more.### Natural Language ProcessingWe also have many guides for doing NLP including text classification, machine translation, and language modeling.### Generative Deep LearningGet started with generative deep learning with our wealth of guides involving state-of-the-art diffusion models, GANs, and transformer models.## Trusted for research and productionKeras is used by CERN, NASA, NIH, and many more scientificorganizations around the world (and yes, Keras is used at the LargeHadron Collider). Keras is used by Waymo to power self-drivingThe 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 keras.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://keras.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.keras.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 keras.io costs to scrape.
The capture above cost $0.000055 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 keras.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.