Ollama Scraper
Spider read ollama.com in 323 ms without a browser and returned 54 lines of clean markdown, including sections like "Build with open models", "Works with the tools you already use" and "Your data stays yours".
# Build with open models,## Works with the tools you already useBring open models into your workflow. Launch agents from the Ollama CLI, or connect editors and frameworks through Ollama's API.## Your data stays yoursYour data is never trained on.Cloud models in the United States, Europe, and Singapore.Run entirely offline for mission critical work.Open model weights and open-source code.## Trending models### glm-5.2Updated1 month ago](https://ollama.com/library/glm-5.2)### deepseek-v4-flashUpdated1 week ago](https://ollama.com/library/deepseek-v4-flash)### kimi-k3Updated1 week ago](https://ollama.com/library/kimi-k3)## Get started with Ollama 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 ollama.com.
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://ollama.com/library");
// No selectors, no schema. Spider reads the page and names the fields.
const data = await page.scrape();
console.log(data);
await spider.close(); 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://ollama.com/library");
await page.content(10000);
const data = await page.evaluate(`(() => {
const models = [];
document.querySelectorAll("[class*='model'], li a[href*='/library/']").forEach(el => {
const name = el.querySelector("h2, [class*='name'], span:first-child")?.textContent?.trim();
const desc = el.querySelector("p, [class*='description']")?.textContent?.trim();
const pulls = el.querySelector("[class*='pulls'], [class*='download']")?.textContent?.trim();
const tags = el.querySelector("[class*='tags'], [class*='size']")?.textContent?.trim();
if (name) models.push({ name, desc, pulls, tags });
});
return JSON.stringify({ total: models.length, models: models.slice(0, 20) });
})()`);
console.log(JSON.parse(data));
await spider.close(); 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 ollama.com 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
More AI & Developer scrapers.
ChatGPT Scraper
Extract shared ChatGPT conversations, prompts, and AI-generated content from public links.
Hugging Face Scraper
Extract ML model cards, dataset info, leaderboard data, and paper metadata from Hugging Face.
GitHub Scraper
Extract trending repositories, star counts, contributor data, and code snippets from GitHub.
Start scraping ollama.com.
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.