LangChain Scraper
Spider read langchain.com in 114 ms without a browser and returned 227 lines of clean markdown, including sections like "Understand exactly what your agent is doing", "Use real-world usage for iterative improvement" and "Ship and scale agents in production".
Observe, evaluate, and deploy agents with LangSmith.LangSmith is framework-agnostic: trace your preferred framework or integrate LangSmith with any agent stack using our Python, TypeScript, Go, or Java SDKs.LangSmith EngineObservabilityEvaluationDeploymentFleet#### Improve agents faster with LangSmith EngineSurface and diagnose undetected issues autonomously to improve agents faster. LangSmith Engine clusters production failures into prioritized issues, finds the root cause in your traces and code, and proposes the fix for your review.#### Understand exactly what your agent is doingAgents can be hard to debug and understand. Long context, branching logic, and many tools make it difficult to pinpoint where things went wrong. Tracing breaks each run into a structured timeline of steps so you can see exactly what happened, in what order, and why.* *Native tracing for popular agent frameworks and OpenTelemetry** *SDKs for Python, TypeScript, Go, and Java** *Message threading for multi-turn chat interactions** *Analytics and AI-driven insights to uncover patterns across traces*#### Use real-world usage for iterative improvementCapture production traces, turn them into test cases, and score agents with a mix of human review and automated evals. Each iteration makes your agent measurably better.* *Reusable LLM-as-judge and multi-turn evals** *Eval calibration with human feedback** *Human feedback annotations*#### Ship and scale agents in productionUnlike traditional web apps, agents work for long durations and need to handle async collaboration with humans and other agents. The agent server provides memory, conversational threads, and durable checkpointing out of the box - on infrastructure that’s fault-tolerant and scales to handle any workload.* *Supports human-in-the-loop interactions, input concurrency, and background agents*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 langchain.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://python.langchain.com/docs/integrations/llms/");
// 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://python.langchain.com/docs/integrations/llms/");
await page.content(10000);
const data = await page.extractFields({
title: "h1",
sections: "article h2",
content: "article p",
codeExamples: "article pre code",
navItems: "nav a[href*='integrations']",
breadcrumb: "nav[aria-label='breadcrumb'] a",
});
console.log(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 langchain.com costs to scrape.
The capture above cost $0.000352 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 langchain.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.