Web Scraping34 min read

Maintenance and Long-Term Running

Understand how to keep scrapers running for months or years: handling site changes, alerts, backups, and graceful recovery.

David Miller
January 12, 2026
0.3k11

Real scrapers live long. They need care.

Challenges:

  • HTML changes
  • network failures
  • new blocks
  • growing data

Detect site change

if not items:
    logging.warning("No items found, possible site change")

Add alerts (simple)

if errors > 5:
    send_email("Scraper failing!")

Backup data

Always backup DB or files before overwriting.


Graceful retry

import time

for i in range(3):
    try:
        html = fetch(url)
        break
    except Exception:
        time.sleep(5)

Graph: long-term cycle

flowchart LR
  A[Run] --> B[Store]
  B --> C[Monitor]
  C --> D[Fix]
  D --> A

Remember

  • Expect failures
  • Monitor results
  • Maintenance is part of scraping
#Python#Advanced#Maintenance