Get Github project profile data
This is a Bardeen playbook. It's a pre-built automation template you can run in one-click to perform a repetitive task. Get started with our free Chrome extension.
How does this automation work?
Extracting project data from GitHub profiles has become an essential task for developers, researchers, and data analysts looking to assess open-source contributions, collaborations, or competitors. Bardeen's scraper tool simplifies this process by automating the extraction directly from GitHub project pages, saving you time and ensuring you have the latest information at your fingertips.
Here's how this workflow operates:
- Step 1: Scrape GitHub Project Data - Bardeen's Scraper integration visits the active GitHub project page to collect the necessary data. This is done using a pre-configured scraper template specifically designed for GitHub project pages.
How to run the playbook
You can scrape Github project information in one click. Technical recruiters, in particular, are going to find this playbook very useful.
First, navigate to a Github project page. Then run the playbook from this page.
Finally, save the information into Google Sheets, Airtable or Notion.
Find supplementary integration selections for GitHub integrations, Scraper integrations, or customize the playbook to better align with your personalized workflow.
Learn more about the awesome product development integrations and data sourcing integrations available.
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FAQs
You can create a Bardeen Playbook to scrape data from a website and then send that data as an email attachment.
Unfortunately, Bardeen is not able to download videos to your computer.
Exporting data (ex: scraped data or app data) from Bardeen to Google Sheets is possible with our action to “Add Rows to Google Sheets”.
There isn't a specific AI use case available for automatically recording and summarizing meetings at the moment
Please follow the following steps to edit an action in a Playbook or Autobook.
Cases like this require you to scrape the links to the sections and use the background scraper to get details from every section.