GitHub Power Scraper | Data That Works for You!
Parth Desai
Data Scraper
Python
Selenium
When a client approached me with a unique challenge of extracting GitHub repositories without relying on the GitHub API, I knew this project required a robust, tailored solution. They needed a scraper that:
Handled large-scale data scraping without interruptions.
Ensured logs and recovery mechanisms in case of failures during execution.
Verified the integrity of downloaded zip repository files for accuracy.
The Solution:
To address these challenges, I developed a comprehensive three-script solution powered by Selenium, offering unmatched reliability and precision:
Repository Collection Script:
Using Selenium, this script navigates GitHub starting from a provided initial link (search results, user profiles, forks, issues, or commits). It gathers all related repositories into a structured list, ensuring nothing is missed.
Zip File Downloader:
To guarantee flawless downloads, this script mimics a real browser for fetching repository zip files. This ensures downloads are handled exactly like manual browser operations, making them reliable and error-free.
Extractor Script:
The third script extracts all downloaded zip files into a folder, organizing them with a custom name format as specified by the client.
Check the code out on GitHub:
Key Features Delivered:
No GitHub API Dependency: The solution bypasses API limitations, ensuring data can be extracted seamlessly regardless of rate limits or access constraints.
Error Handling & Recovery: Built-in logging tracks progress, and the scripts resume efficiently if interrupted, saving valuable time.
Perfect Download Validation: Selenium’s browser simulation guarantees that every downloaded zip file is intact and usable.
Going Beyond – The PyPI Package:
In addition to the custom solution for the client, I built a Python package available on PyPI for wider use. This package simplifies GitHub scraping into a series of easy-to-call methods or a command-line tool. It offers:
Customizable inputs for repository scraping.
Scalable functionality to adapt to various project sizes.
Hassle-free integration into workflows for developers and researchers.
Check it out on PyPI:
Client Impact:
The custom tool enabled the client to:
Collect hundreds of repositories in minutes without hitting API limits.
Automate a process that would have taken hours manually.
Ensure complete reliability with validated downloads and detailed logs.
This project demonstrated how innovative solutions could address real-world challenges, saving time and ensuring precision.
💬 What the Client Says
excellent job , will work with him again, thank you very much great code , wise man
Need GitHub Data Extraction? Let’s Talk!
Whether it’s for business insights, research, or automation, I specialize in creating custom solutions that simplify complex challenges. Let’s collaborate to turn your GitHub data needs into actionable results!
