#github

6 guides

Scrape GitHub Repository Data

Collect GitHub repository metadata, stars, forks, topics, and README-linked context from the public HTML with Python. Includes defensive selectors, CSV export, and a screenshot.

Scrape GitHub Pull Requests into a Review Queue (Labels, States, Draft Status)

Build a GitHub pull request queue from public HTML: collect PR titles, numbers, labels, comments, authors, timestamps, and draft status so you can triage reviews without the API.

Scrape GitHub Issues (Labels, States, Pagination) Into CSV

Build a practical GitHub Issues scraper in Python: parse issue rows, collect labels + state + dates, follow pagination, and export a triage-ready CSV. Includes screenshot + working code.

Scrape GitHub Repository Data (Stars, Releases, Issues) with Python + ProxiesAPI

Scrape GitHub repo metadata from HTML (not just the API): stars, forks, latest release, open issues, and pull requests. Includes a ProxiesAPI fetch layer, safe parsing, and CSV export + screenshot.

How to Scrape GitHub Trending with Python (and Export to CSV/JSON)

A practical GitHub Trending scraper: fetch the Trending page, extract repo names + language + stars, and export a clean dataset.

How to Scrape GitHub Releases with Python (Versions + Notes + Diffs)

Scrape a GitHub Releases page, extract versions and release notes, and store structured data so you can alert on changes.