Collecting and processing data reliably: resilient scrapers, government and open-data sources, ETL pipelines and keeping data feeds healthy.
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How I design change detection for scraped data: stable record identity, normalisation, content hashing, field-level diffs and alerts users trust, with Laravel and MySQL examples from a real NYC compliance monitoring platform.
A real-world look at how I designed a resilient web scraping system for Violerts to collect, normalize, and manage data from complex government sources.
Pulling data from a page once is easy. Running a pipeline every day for a year, through layout changes, rate limits and outages, without loading garbage into your database is a different job. These articles cover building data collection that lasts, from government and open-data sources to validation, ETL and monitoring.
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