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AI & Developer

LlamaIndex Scraper

Extract data connector docs, index types, query engine references, and tutorial guides from the LlamaIndex framework. Powered by spider-browser .

Get Started Documentation
llamaindex.ai target
99.5% success rate
~4ms latency
Quick Start

Extract data in minutes

llamaindex-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://docs.llamaindex.ai/en/stable/");
await page.content(10000);

const data = await page.evaluate(`(() => {
  const title = document.querySelector("h1")?.textContent?.trim();
  const sections = [];
  document.querySelectorAll("article h2, article h3").forEach(h => {
    const heading = h.textContent?.trim();
    const content = h.nextElementSibling?.textContent?.trim();
    if (heading) sections.push({ heading, content: content?.slice(0, 300) });
  });
  const codeBlocks = [...document.querySelectorAll("pre code")].map(c => c.textContent?.trim().slice(0, 200));
  return JSON.stringify({ title, sections: sections.slice(0, 10), codeBlocks: codeBlocks.slice(0, 5) });
})()`);

console.log(JSON.parse(data));
await spider.close();
✓ ready to run | spider-browser | TypeScript
Fetch API

Structured data endpoint

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

POST /fetch/llamaindex.ai/
Component nameDescriptionParametersCode exampleReturn typeCategory
curl
curl -X POST https://api.spider.cloud/fetch/llamaindex.ai/ \
  -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/llamaindex.ai/",
    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/llamaindex.ai/", {
  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

Data you can extract

Component nameDescriptionParametersCode exampleReturn typeCategoryRelated modulesVersion
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.

Related

More AI & Developer scrapers

Start scraping llamaindex.ai

Get your API key and start extracting data in minutes.