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