Scheduling Scrapers
For ongoing data collection, you need to run scrapers on a schedule. This lesson covers various scheduling approaches.
Why Schedule Scrapers?
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Python Schedule Library
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Schedule Examples
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Cron Jobs (Linux/Mac)
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Windows Task Scheduler
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APScheduler for Advanced Scheduling
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Handling Long-Running Scrapers
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Error Handling in Scheduled Jobs
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Cloud Scheduling Options
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Complete Scheduled Scraper
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Key Takeaways
- Use schedule library for simple Python scheduling
- Use cron (Linux/Mac) or Task Scheduler (Windows) for system-level
- APScheduler offers advanced features like job persistence
- Prevent overlapping runs with is_running flags
- Always wrap scheduled jobs in try/except
- Log job starts, completions, and errors
- Consider cloud scheduling for production
- Monitor scheduled jobs to catch failures

