Terminal.skills
Skills/crawlee
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crawlee

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.

#scraping#crawling#crawlee#apify#playwright
terminal-skillsv1.0.0
Works with:claude-codeopenai-codexgemini-clicursor
Source

Usage

$
✓ Installed crawlee v1.0.0

Getting Started

  1. Install the skill using the command above
  2. Open your AI coding agent (Claude Code, Codex, Gemini CLI, or Cursor)
  3. Reference the skill in your prompt
  4. The AI will use the skill's capabilities automatically

Example Prompts

  • "Analyze the sales data in revenue.csv and identify trends"
  • "Create a visualization comparing Q1 vs Q2 performance metrics"

Documentation

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 limitmaxRequestsPerMinute to avoid overwhelming targets
  • Request labels — use labels to route different page types to different handlers
  • Error handlingfailedRequestHandler catches and logs failed URLs
  • Storage persists — datasets and queues survive restarts by default

Information

Version
1.0.0
Author
terminal-skills
Category
Data & AI
License
Apache-2.0