LlamaIndex Scraper
Spider read llamaindex.ai in 120 ms without a browser and returned 177 lines of clean markdown, including sections like "Unrivaled performance across complex documents", "Parse" and "Extract".
Turn charts and graphs into structured data your pipelines can use.## Unrivaled performance across complex documentsOverall performance Charts TablesLlamaParse powers enterprise-grade document automation with industry-best parsing, extraction, indexing, and retrieval — optimized for accuracy, configurability, and scalability.### ParseIndustry-leading document parsing for 50+ unstructured file types — including support for embedded images, complex layouts, multi-page tables, and even handwritten notes.### ExtractTurn unstructured content into structured insights using schema-based, LLM-powered extraction agents — no training required### SplitSegment a document into logical sections based on natural-language descriptions.### ClassifyAutomatically categorize documents using natural-language rules.### IndexEnterprise-grade chunking and embedding pipeline. Built to deliver precision and relevance in every retrieval call for best-in-class RAG.npm install @llamaindex/liteparse**Parse Any Document. Locally. Fast.**Open-source document parsing from the team behind LlamaParse. Parsed text from PDFs, Office docs, and images — no cloud, no LLM tokens, no limits.## How leading teams use document intelligenceEnable LLMs to read complex documentsModernize document processing without
custom templates.Build durable agents that automate knowledge work.## Built for every document-heavy industryFrom financial research and due diligence to automated invoice processing, leading banks, hedge funds, and fintechs are transforming workflows with AI.Risk and protection leaders are turning unstructured data into action—streamlining underwriting, audits, and claim proccessing.Leading manufacturers are using AI to extract insights from specs, manuals, and inspection reports—faster and more accurately.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 llamaindex.ai.
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://docs.llamaindex.ai/en/stable/");
// 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://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 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 llamaindex.ai costs to scrape.
The capture above cost $0.000492 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 llamaindex.ai.
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.