GitHub Text Extractor

The tool retrieves text content from selected files in a GitHub repository and returns either a single concatenated text stream or a per-file mapping. It targets developers, researchers, and content teams that need to review license texts, READMEs, or code comments without cloning the repository. Conceptually, the tool fetches file data via GitHub API, filters for text-based formats, decodes content, and aggregates results according to the chosen mode. It is designed to handle public repos by default and supports private access through authentication. Core value comes from rapid access to clean textual data for auditing, indexing, and downstream processing. Use cases include license verification, documentation extraction, codebase summarization, and data preparation for NLP tasks. The tool emphasizes data integrity by preserving line breaks and file structure where feasible, while skipping binary assets to avoid non-text noise. Its per-file output enables precise traceability to source files, which is essential for compliance and reproducibility. In practice, a user might extract all Markdown and README content from a repository to create a quick documentation snapshot, or pull license headers from multiple files for compliance reporting. The differentiator is the combination of GitHub-aware file selection, encoding handling, and dual output modes that align with developer workflows and data science pipelines.