# Outlier Detection

Outlier detection flags improbable prices, attributes, or behaviors in scraped datasets. Methods include z-scores, isolation forests, clustering distances, and robust percentiles, enabling remediation, fraud detection, and quality assurance.

## Additional resources:

[Web Scraping Services](https://www.promptcloud.com/solutions/web-scraping-services/)