Ollama Scraper

Extract local LLM model listings, download counts, parameter sizes, and quantization details from the Ollama library. Built on spider-browser .

Get started Docs

target
ollama.com: success rate
99.9%: latency
~4ms

Quick start

Extract data in minutes.

ollama-scraper.ts

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 to run · spider-browser · TypeScript

Fetch API

One endpoint for ollama.com.

Structured JSON from ollama.com with a single POST. AI-resolved selectors, cached on the first call.

POST /fetch/ollama.com/

Model nameParameter sizeDownloadsTagsQuantizationDescription

Try it Fetch docs

cURL

curl -X POST https://api.spider.cloud/fetch/ollama.com/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'

Python

import requests

resp = requests.post(
    "https://api.spider.cloud/fetch/ollama.com/",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json={"return_format": "json"},
)
print(resp.json())

Node.js

const resp = await fetch("https://api.spider.cloud/fetch/ollama.com/", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ return_format: "json" }),
});
const data = await resp.json();
console.log(data);

Extraction

Fields you can pull.

Model nameParameter sizeDownloadsTagsQuantizationDescriptionLast updatedCapabilities

Rendering

React SPA handling

Full browser rendering for streaming content and dynamic React UI.

Content

Structured parsing

Extract code blocks, documentation, repository data, and metadata.

Waiting

Load completion

Smart network idle detection waits for dynamically loaded content to finish.

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Start

Start scraping ollama.com.

Grab an API key and call the endpoint above. The first request resolves the config; every request after hits cache.

Get started free All scrapers