Link Extractor from Text

In the high-stakes world of Search Engine Optimization (SEO) and data mining, the precision of data extraction is paramount. Manual link auditing is error-prone and inefficient. This Link Extractor is engineered to eliminate noise, utilizing RFC-compliant heuristic patterns to identify HTTP/HTTPS resources, FTP endpoints, and email addresses from massive unstructured datasets.

Accuracy matters. A broken link or a missed redirect can cost valuable link equity. This tool does not merely regex-match; it normalizes paths, detects duplicates, and offers granular filtering (by extension, protocol, or domain). It addresses the common pitfall of phantom characters attached to URLs during copy-paste operations, ensuring the output is strictly valid and ready for server-side analysis or reporting.

The core extraction logic relies on a composite Regular Expression pattern designed to capture standard Internet RFC 3986 URIs. The simplified logic flow is represented below:

The extraction efficiency E is calculated as the ratio of unique valid links to the total candidate strings found:

where L represents the set of extracted entities. Deduplication is handled via Set Theory logic:

S_clean = { x ∈ L | ∀ y ∈ S_clean, x ≠ y }