Scrape structured data from any public GitHub repository page to capture key repository metadata and activity signals for engineering research, DevRel/OSPO analysis, and competitive benchmarking—then enrich with AI and export to Sheets, Airtable, or Notion.
Built for engineering leaders, DevRel/OSPO analysts, and developer tool PMs, this template extracts structured data from GitHub project pages to evaluate open-source projects at scale. Use it to build curated lists by topic or organization, assess project health (stars, forks, activity, license, languages), compare competitors, or support due diligence for dependencies and partnerships across global ecosystems.
Run it on any public repository URL—or a list of URLs—to compile consistent, tabular data. With Bardeen, you can enrich each record (e.g., classify topics with AI, summarize README content, compute health scores), join with external datasets, deduplicate, and seamlessly export to Google Sheets, Airtable, Notion, and more for dashboards, scoring models, and outreach workflows.
This template is maintained and periodically updated by Bardeen to reflect GitHub UI changes, ensuring reliable, high-quality data for your workflows.
With Bardeen, you can do much more than just web scraping. After extracting data from any website, use Bardeen’s powerful automation tools to validate and enrich your data, run additional scrapers on linked pages, or leverage AI to qualify leads and generate content automatically. Once your data is ready, you can easily export it to CSV, Google Sheets, Airtable, or Notion for further analysis and reporting.
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