crawlee
$
npx mdskill add TerminalSkills/skills/crawleeBuild scalable web scrapers and crawlers for structured data extraction
- Scrape websites, including JavaScript-rendered pages, at scale
- Uses Crawlee, Playwright/Puppeteer, and Apify for crawling and rendering
- Manages request queues, proxies, retries, and anti-blocking strategies
- Exports structured data through built-in storage and datasets
SKILL.md
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---
name: crawlee
description: >-
Build reliable web scrapers and crawlers with Crawlee — Apify's open-source
framework for structured web scraping. Use when someone asks to "scrape a
website", "build a crawler", "Crawlee", "web scraping at scale", "scrape
JavaScript-rendered pages", "crawl with Playwright/Puppeteer", or "extract
data from websites reliably". Covers HTTP crawling, browser crawling,
request queues, proxy rotation, and data export.
license: Apache-2.0
compatibility: "Node.js 18+. Optional: Playwright or Puppeteer for JS-rendered pages."
metadata:
author: terminal-skills
version: "1.0.0"
category: data-ai
tags: ["scraping", "crawling", "crawlee", "apify", "playwright"]
---
# Crawlee
## Overview
Crawlee is a web scraping and crawling library that handles the hard parts — request queuing, retries, proxy rotation, browser fingerprinting, and rate limiting. Use Cheerio for fast HTML-only scraping or Playwright/Puppeteer for JavaScript-rendered pages. Built-in storage for datasets, request queues, and key-value stores. Scales from single pages to millions of URLs.
## When to Use
- Scraping data from websites (product prices, job listings, articles)
- Crawling entire sites for content or link analysis
- JavaScript-rendered pages (SPAs, React/Vue sites)
- Scraping at scale with proxy rotation and anti-blocking
- Structured data extraction with automatic retries
## Instructions
### Setup
```bash
npm install crawlee playwright
npx playwright install chromium # Only for browser crawling
```
### HTTP Crawling (Fast, No Browser)
```typescript
// scraper.ts — Fast scraping with Cheerio (no browser needed)
import { CheerioCrawler, Dataset } from "crawlee";
const crawler = new CheerioCrawler({
maxConcurrency: 10, // Parallel requests
maxRequestRetries: 3, // Retry failed requests
requestHandlerTimeoutSecs: 30,
async requestHandler({ request, $, enqueueLinks, pushData }) {
// $ is Cheerio — jQuery-like selector API
const title = $("h1").text().trim();
const price = $("[data-testid='price']").text().trim();
const description = $("meta[name='description']").attr("content");
// Save structured data
await pushData({
url: request.url,
title,
price,
description,
scrapedAt: new Date().toISOString(),
});
// Follow pagination links
await enqueueLinks({
selector: "a.next-page",
label: "LISTING",
});
},
// Handle different page types
async failedRequestHandler({ request }) {
console.error(`Failed: ${request.url} after ${request.retryCount} retries`);
},
});
// Start crawling
await crawler.run(["https://example-shop.com/products"]);
// Export data
const dataset = await Dataset.open();
await dataset.exportToCSV("products");
```
### Browser Crawling (JavaScript-Rendered Pages)
```typescript
// browser-scraper.ts — Scrape JS-rendered pages with Playwright
import { PlaywrightCrawler } from "crawlee";
const crawler = new PlaywrightCrawler({
maxConcurrency: 5, // Fewer concurrent — browsers are heavy
headless: true,
launchContext: {
launchOptions: {
args: ["--disable-blink-features=AutomationControlled"],
},
},
async requestHandler({ page, request, pushData, enqueueLinks }) {
// Wait for dynamic content to load
await page.waitForSelector("[data-loaded='true']", { timeout: 10000 });
// Extract data using Playwright selectors
const items = await page.$$eval(".product-card", (cards) =>
cards.map((card) => ({
name: card.querySelector("h3")?.textContent?.trim(),
price: card.querySelector(".price")?.textContent?.trim(),
rating: card.querySelector(".stars")?.getAttribute("data-rating"),
}))
);
for (const item of items) {
await pushData({ ...item, sourceUrl: request.url });
}
// Scroll to load more (infinite scroll)
await page.evaluate(() => window.scrollTo(0, document.body.scrollHeight));
await page.waitForTimeout(2000);
// Click "Load More" if exists
const loadMore = page.locator("button:has-text('Load More')");
if (await loadMore.isVisible()) {
await loadMore.click();
await page.waitForLoadState("networkidle");
}
},
});
await crawler.run(["https://spa-example.com/products"]);
```
### Proxy Rotation
```typescript
// proxy-scraper.ts — Rotate proxies to avoid blocking
import { CheerioCrawler, ProxyConfiguration } from "crawlee";
const proxyConfig = new ProxyConfiguration({
proxyUrls: [
"http://user:pass@proxy1.example.com:8080",
"http://user:pass@proxy2.example.com:8080",
"http://user:pass@proxy3.example.com:8080",
],
});
const crawler = new CheerioCrawler({
proxyConfiguration: proxyConfig,
// Crawlee automatically rotates and retires failing proxies
async requestHandler({ request, $, pushData, proxyInfo }) {
console.log(`Using proxy: ${proxyInfo?.url}`);
// ... scraping logic
},
});
```
## Examples
### Example 1: Scrape product data from an e-commerce site
**User prompt:** "Scrape all product names, prices, and ratings from example-shop.com and export to CSV."
The agent will create a CheerioCrawler with pagination handling, structured data extraction, and CSV export.
### Example 2: Monitor competitor prices
**User prompt:** "Build a daily scraper that checks competitor prices and alerts when they change."
The agent will create a PlaywrightCrawler for JS-rendered pages, store prices in a dataset, compare with previous runs, and send alerts on changes.
## Guidelines
- **Cheerio for static HTML** — 10x faster than browser crawling
- **Playwright for SPAs** — use only when JavaScript rendering is required
- **`enqueueLinks` for crawling** — automatically follows and deduplicates links
- **`pushData` for structured output** — builds a dataset that exports to CSV/JSON
- **Proxy rotation for scale** — Crawlee retires failing proxies automatically
- **Respect robots.txt** — check `robotsTxtUrl` in crawler config
- **Rate limit** — `maxRequestsPerMinute` to avoid overwhelming targets
- **Request labels** — use labels to route different page types to different handlers
- **Error handling** — `failedRequestHandler` catches and logs failed URLs
- **Storage persists** — datasets and queues survive restarts by default
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