How can I reduce bandwidth usage when web scraping?
Reducing bandwidth lowers costs and improves scraping performance.
1. Block unnecessary resources:
Most pages load resources you don't need:
- Images: Often 60-80% of page size
- Videos and GIFs: Can be massive
- Fonts: Rarely needed for data extraction
- Analytics scripts: Never needed for scraping
- Ads: Pure waste for scrapers
Implementation:
In Puppeteer/Playwright:
await page.setRequestInterception(true);
page.on('request', (req) => {
const resourceType = req.resourceType();
if (['image', 'stylesheet', 'font'].includes(resourceType)) {
req.abort();
} else {
req.continue();
}
});
2. Use the right tool for the job:
- API endpoints: 1-5 KB per request
- HTTP requests (requests/curl): 10-100 KB
- Headless browser with blocking: 100-500 KB
- Full headless browser: 1-10 MB
Always use the simplest approach that works.
3. Implement smart caching:
- Cache static resources (CSS, JS)
- Store already-scraped pages
- Use conditional requests (If-Modified-Since headers)
- Implement database lookups before re-scraping
4. Compress requests and responses:
Most servers support gzip/brotli compression:
headers = {'Accept-Encoding': 'gzip, deflate, br'}
This can reduce text content by 70-90%.
5. Scrape only what you need:
- Don't load the homepage if you just need product pages
- Use direct URLs when possible
- Skip unnecessary navigation steps
6. Optimize retry logic:
- Implement exponential backoff
- Don't retry on 404s (permanent failures)
- Set reasonable timeout limits
Real-world impact:
A typical optimization workflow reduces bandwidth by 80-95%, turning a $10,000/month project into $500-2,000/month.