Gradient Scraper
Spider read gradient.network in 116 ms in a headless browser and returned 86 lines of clean markdown, including sections like "Train", "[Framework]" and "Serve".
closed infrastructure never will.The future will be defined byartificial general intelligence, andopenness will determine who itserves. We are developing openfoundation models, rebuilding thetraining and serving stack thatmakes accessing intelligence asartificial general intelligence, and openness will determine whoit serves. We are developing open foundation models,rebuilding the training and serving stack that makes accessingintelligence as easy as turning on a light.## Train### [Framework]#### Boosting AI research throughput by 10x with distributed RL.Echo-2 decouples centralized learning from distributed rollouts, using async RL with bounded staleness to orchestrate distributed, unreliable GPUs.## Serve#### Serving LLM everywhereParallax is a fully distributed LLM serving framework that turns a heterogenous pool of GPUs and Apple Silicons into an unified platform for efficient inference and training.### [Product]#### Your Sovereign AI OSHost and run your favorite open source models locally with complete control and privacy, for free.Learn moreBuild your own AI lab## Run#### The easiest way to run powerful AI models.The unified gateway to best LLMs at unbeatable prices, with full API compatibility for seamless integration.### [Model]### [Price]## ResearchNov 24, 2025 Distributed ML Turning Latency into Throughput: Speculative Decoding for the Decentralized InferenceOct 1, 2025 Distributed ML Lattica: A Universal Communication Substrate for Open IntelligenceSep 30, 2025 Agents Massgen: When Multiple LLMs Think TogetherSep 30, 2025 Distributed ML Parallax: Your Sovereign AI OS- Open gradient.network in a real browser
- Wait for the page to finish rendering
- Collect the repeated result blocks
.flex-row
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 gradient.network.
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://gradient.network/");
// Wait for the page to finish rendering
await page.waitForSelector(".flex-row");
// 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.gradient.network", {
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 gradient.network costs to scrape.
The capture above cost $0.000335 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 gradient.network.
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.