How do you prevent memory leaks in long-running web scrapers?
Long-running headless browser scrapers built with Playwright, Selenium, or Puppeteer accumulate memory over time. Browser tabs, event listeners, and unclosed contexts pile up in the process heap until the scraper crashes or the host runs out of RAM. This is especially common in daemon-style scrapers, scheduled crawls, and price monitors that run for hours.
| Cause | What happens | Fix |
|---|---|---|
| Unclosed browser contexts | Memory grows with each new context | Call context.close() after every request |
| Open page handles | Each tab holds its DOM in memory | Call page.close() explicitly after extraction |
| Event listener buildup | Listeners added per page are never removed | Clean up listeners or restart the browser periodically |
| Long browser sessions | No opportunity for garbage collection | Restart the browser process every N requests |
| Cached network responses | In-memory caches grow unbounded | Disable browser cache or flush it periodically |
This matters most for any scraper running longer than a few minutes: price monitoring jobs, scheduled news crawlers, competitive intelligence pipelines, or agentic workflows that browse dozens of sites sequentially.
Firecrawl's infrastructure manages browser lifecycle automatically. Each request runs in a clean, isolated browser session that's disposed after completion, with no contexts to close, no page handles to track, and no browser process to restart. See firecrawl.dev for how managed scraping removes these operational concerns.
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