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