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
December 21, 2025
0.0k0
Real scrapers live long. They need care.
Challenges: - HTML changes - network failures - new blocks - growing data
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Detect site change
```python if not items: logging.warning("No items found, possible site change") ```
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Add alerts (simple)
```python if errors > 5: send_email("Scraper failing!") ```
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Backup data Always backup DB or files before overwriting.
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Graceful retry
```python import time
for i in range(3): try: html = fetch(url) break except Exception: time.sleep(5) ```
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Graph: long-term cycle
```mermaid flowchart LR A[Run] --> B[Store] B --> C[Monitor] C --> D[Fix] D --> A ```
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Remember - Expect failures - Monitor results - Maintenance is part of scraping
#Python#Advanced#Maintenance