Recorder farsroid

Recorder farsroid captures a consistent set of on-page signals for a given URL or domain, enabling audit, benchmarking, and evidence-based optimization. It targets SEOs, content managers, and developers who need auditable page records to track progress and justify changes.
Core signals include title length, meta description length, heading counts, canonical presence, robots directives, word count, internal/external link counts, and the presence of structured data via JSON-LD. The engine retrieves HTML, parses elements, and returns a structured snapshot with a timestamp; users can export JSON or CSV for archival.
Delta and baseline capability allows comparison between snapshots to highlight regressions, improvements, or new issues. Advanced checks detect missing or malformed structured data, inconsistent canonical usage, or AMP indicators. The tool focuses on on-page signals rather than dynamic rendering, ensuring consistent results across crawls.
Typical workflows include pre-optimization audits, ongoing monitoring, and client reporting. By producing compact, machine-readable reports, it supports governance, faster QA, and data-driven decision making for content strategy.