Research and data
Inspect the web with evidence you can follow.
A growing collection of sourced analysis, practical methodology, and free tools for checking the structure and quality of web datasets.
Published analysis
Research-led reading
These articles synthesize cited sources, practical observations, and repeatable checks. Each page states its scope and publication date.
Ethical Web Scraping Principles for Businesses
Use these ethical web scraping principles to set boundaries, protect data quality, and build workflows your team can defend.
Read the analysis →GDPR Compliance Checklist for Data Scrapers
Use this GDPR checklist to document lawful basis, limit personal data, and run scraping workflows with fewer compliance surprises.
Read the analysis →Data Validation Checklist for Scraped Data
Use this checklist to catch duplicates, missing fields, schema drift, and broken exports before scraped data reaches your team.
Read the analysis →HTTP Status Codes Guide for Web Scrapers (2026)
Exhaustive reference covering every HTTP status code (200, 403, 429, 503, and more) with solutions and troubleshooting for web scraping.
Read the analysis →Open utilities
Check the underlying signals yourself.
Use the same kinds of structural checks discussed in our guides. The tools are free to run and return inspectable results.
Method
What readers should expect
We identify the source and date for unstable facts, separate observation from inference, disclose important limitations, and avoid presenting estimates as measurements. When a page is substantially updated, its content and metadata should reflect the change.