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Web Scraping Patterns

Web Scraping Patterns

Data extraction for Google Antigravity IDE

Web ScrapingCheerioPlaywrightBackend
by Antigravity AI
⭐0Stars
.antigravity
# Web Scraping Patterns for Google Antigravity

Master web scraping in Google Antigravity IDE. This guide covers HTML parsing, browser automation, and rate limiting.

## Cheerio for HTML Parsing

```typescript
import * as cheerio from "cheerio";

async function scrapeArticle(url: string) {
  const response = await fetch(url);
  const html = await response.text();
  const $ = cheerio.load(html);

  return {
    title: $("h1").first().text().trim(),
    content: $("article").text().trim(),
    author: $("meta[name="author"]").attr("content"),
    publishedAt: $("time").attr("datetime"),
    images: $("article img")
      .map((_, el) => $(el).attr("src"))
      .get()
  };
}
```

## Playwright for Dynamic Content

```typescript
import { chromium } from "playwright";

async function scrapeWithBrowser(url: string) {
  const browser = await chromium.launch({ headless: true });
  const page = await browser.newPage();
  
  await page.goto(url, { waitUntil: "networkidle" });
  
  // Wait for dynamic content
  await page.waitForSelector(".product-list");
  
  const products = await page.evaluate(() => {
    return Array.from(document.querySelectorAll(".product")).map(el => ({
      name: el.querySelector(".name")?.textContent,
      price: el.querySelector(".price")?.textContent,
      url: el.querySelector("a")?.href
    }));
  });

  await browser.close();
  return products;
}
```

## Rate Limiting and Politeness

```typescript
import pLimit from "p-limit";

const limit = pLimit(2); // 2 concurrent requests

async function scrapeMultiple(urls: string[]) {
  const results = await Promise.all(
    urls.map(url => limit(async () => {
      await delay(1000); // 1 second between requests
      return scrapeArticle(url);
    }))
  );
  return results;
}

function delay(ms: number) {
  return new Promise(resolve => setTimeout(resolve, ms));
}
```

## Best Practices

1. **Respect robots.txt** - Check allowed paths
2. **Rate limit requests** - Be polite to servers
3. **Handle errors gracefully** - Retry with backoff

Google Antigravity IDE provides scraping scaffolding.

When to Use This Prompt

This Web Scraping prompt is ideal for developers working on:

  • Web Scraping applications requiring modern best practices and optimal performance
  • Projects that need production-ready Web Scraping code with proper error handling
  • Teams looking to standardize their web scraping development workflow
  • Developers wanting to learn industry-standard Web Scraping patterns and techniques

By using this prompt, you can save hours of manual coding and ensure best practices are followed from the start. It's particularly valuable for teams looking to maintain consistency across their web scraping implementations.

How to Use

  1. Copy the prompt - Click the copy button above to copy the entire prompt to your clipboard
  2. Paste into your AI assistant - Use with Claude, ChatGPT, Cursor, or any AI coding tool
  3. Customize as needed - Adjust the prompt based on your specific requirements
  4. Review the output - Always review generated code for security and correctness
💡 Pro Tip: For best results, provide context about your project structure and any specific constraints or preferences you have.

Best Practices

  • ✓ Always review generated code for security vulnerabilities before deploying
  • ✓ Test the Web Scraping code in a development environment first
  • ✓ Customize the prompt output to match your project's coding standards
  • ✓ Keep your AI assistant's context window in mind for complex requirements
  • ✓ Version control your prompts alongside your code for reproducibility

Frequently Asked Questions

Can I use this Web Scraping prompt commercially?

Yes! All prompts on Antigravity AI Directory are free to use for both personal and commercial projects. No attribution required, though it's always appreciated.

Which AI assistants work best with this prompt?

This prompt works excellently with Claude, ChatGPT, Cursor, GitHub Copilot, and other modern AI coding assistants. For best results, use models with large context windows.

How do I customize this prompt for my specific needs?

You can modify the prompt by adding specific requirements, constraints, or preferences. For Web Scraping projects, consider mentioning your framework version, coding style, and any specific libraries you're using.

Related Prompts

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