AI & Developer

Ollama Scraper

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

Get Started Documentation

ollama.com target

99.5% success rate

~4ms latency

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

Structured data endpoint

Extract structured JSON from ollama.com with a single POST request. AI-configured selectors, cached for fast repeat calls.

POST /fetch/ollama.com/

Model nameParameter sizeDownloadsTagsQuantizationDescription

Try it Fetch API 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