GitHub Scraper

A developer-focused tool to extract repository metrics and metadata from GitHub for analysis, audits, and competitive research workflows.

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About This Tool

This tool targets public GitHub repositories to collect structured metadata and activity data for analysis and governance. It can fetch repository pages or search results, apply configurable selectors, and extract metrics such as stars, forks, issues, pull requests, last updated timestamps, primary language, license, topics, contributor counts, and release tags. It supports both HTML scraping and API-based extraction, preferring API fields when available and gracefully falling back to HTML parsing when necessary. Data is normalized into consistent fields and timestamps, with provenance metadata to support reproducibility. Outputs are provided in JSON or CSV formats for seamless integration into analytics pipelines, dashboards, or reporting. Use cases include open-source health monitoring, license/language distribution analysis, and competitive research across multiple repositories. Advanced users can customize selectors, enable pagination, or schedule recurring scrapes while respecting rate limits and robots.txt. The tool emphasizes data quality, deduplication by repository URL, and clear traceability of the scrape instance.

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How to Use

Provide inputs (repository URL or search query) to define the target scope.
Configure optional depth, pagination, and field selectors for desired data.
Run the scrape to collect repository metrics and metadata.
Review the structured outputs and validate field consistency.
Export results to JSON or CSV for downstream analysis.

Frequently Asked Questions

Find Quick Answers

What data can be extracted?

The tool can extract stars, forks, open/closed issues, pull requests, last activity date, primary language, license, topics, contributor counts, and presence of a README or release tags. Regular updates capture new data as pages are re-scraped.

Is authentication required?

No authentication is required for public GitHub data. Public access is supported, though some endpoints or pages may have stricter rate limits; for large runs, consider pacing requests and using API-based fields when available.

How are rate limits and page changes handled?

The tool enforces backoff and polite delays, respects robots.txt, and prioritizes API fields when possible. When page structures change, configurable selectors can be updated to maintain data accuracy without code changes.

What formats are outputs available in?

Outputs are provided in JSON or CSV, including per-repo records and a summary. Timestamps and provenance fields are included to support reproducibility and auditing in analysis pipelines.

Need to run multiple calculations?

Create a free account today to unlock unlimited daily runs, access advanced parameters, save your history, and request custom features.

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