GitHub Contributors Export

Step By Step Guide

The GitHub Contributors Export automation allows you to extract detailed contributor data from public GitHub repositories. This tool is ideal for founders, companies, sales managers, marketers, and growth hackers looking to engage with developers, analyze contributions, or build outreach campaigns. With TexAu, you can automate the process, export data to Google Sheets or CSV, and schedule recurring runs to keep your records up to date. Follow this guide to configure and run the automation seamlessly.

Step 1: Log in to TexAu and Connect Github

• Log in to your TexAu account at v2-prod.texau.com.
• Go to Accounts and connect your LinkedIn account. You can choose one of these methods:
  • Share via Magic Link: Share the link, copy it to your browser, and follow the steps to integrate your Github account securely.
  • Add Account: Sync cookies and browser data with TexAu for seamless integration.

Tip: Use Magic Link for an easy and secure connection.

Step 2: Choose Cloud or Desktop Execution

• Decide how you want to run the automation:
  • Cloud Mode: Automates tasks on TexAu’s servers with built-in proxies. You can add custom proxies via Settings > Preferences > Proxies.
  • Desktop Mode: Runs automation on your local device using your IP address.

Tip: Desktop mode saves cloud runtime credits and gives more control over the process.

Step 3: Search for the Particular Github Automation

• Navigate to the Automation Store on TexAu.
• Use the search bar to find GitHub Contributors Export automation.

Step 4: Select Your Input Source

GitHub Contributors Export helps extract contributor details from a specific GitHub repository. This automation provides insights into the active contributors of a project, enabling analysis of participation and community engagement.

Single Input

• Repo URL: Enter the GitHub repository URL to extract contributor details.
• Extract Limit: Specify the maximum number of contributors to extract (up to 400 per launch).

Google Sheet Integration

• Upload Google Sheet:

  • Select Google Account: Choose the connected Google account to upload your data.
  • Spreadsheet: Click Open Google Drive to select the spreadsheet.
  • Sheet: Enter the sheet name where the data will be stored.

• Optional Settings:

  • Number of Rows to Process: Define the number of rows to process.
  • Number of Rows to Skip: Specify the rows to skip during execution.

  Optional Advanced Feature:

  • Loop Mode: Enable Loop Mode to re-process the Google Sheet from the beginning once all rows are completed. This is useful for tasks that require recurring updates.

  • Watch Row (Optional)

    Watch Row feature automates workflow execution by detecting new Google Sheet entries and triggering workflows without manual intervention.

    Configure Watch Row by selecting a frequency and setting an execution period.

    Watch Row Schedule

    • None
    • Scheduling Intervals (e.g., every 15 minutes, every hour)
    • One-Time Execution
    • Daily Execution
    • Weekly Recurrence (e.g., every Monday and Thursday)
    • Monthly Specific Dates (e.g., 1st and 15th)
    • Custom Fixed Dates (e.g., September 5)

    The default setting is 15 minutes, and it runs for five days unless modified.

    With Watch Row, TexAu ensures workflows execute as soon as new data is detected

Process a CSV File

• Upload CSV File: Import a CSV file containing GitHub repository URLs.
• Adjust Settings:
  • Number of Rows to Process (Optional): Limit the number of rows for processing.
  • Number of Rows to Skip (Optional): Define rows to skip in the uploaded file.
• Provide Input Details:
  • Ensure the correct column contains valid repository URLs for accurate extraction.

Screenshot Suggestion: Show the input source selection screen, highlighting Manual Input, Google Sheets, and CSV options.

Step 5: Schedule the Automation (Optional)

TexAu allows you to schedule automation runs to keep your data updated regularly. Click Schedule and configure a start date and time or set a recurrence frequency:

• None
• At Regular Intervals (e.g., every 8 hours)
• Once
• Every Day
• On Specific Days of the Week (e.g., every Monday and Wednesday)
• On Specific Days of the Month (e.g., the 1st and 15th)
• On Specific Dates (e.g., February 10)

Tip: Regular scheduling is useful for repositories with frequent updates or new contributors.

Screenshot Suggestion: Display the scheduling interface with options for selecting start time and recurrence frequency.

Step 6: Set an Iteration Delay (Optional)

Avoid detection and simulate human-like activity by setting an iteration delay. Choose minimum and maximum time intervals to add randomness between actions. This makes your activity look natural and reduces the chance of being flagged.

• Minimum Delay: Enter the shortest interval (e.g., 10 seconds).
• Maximum Delay: Enter the longest interval (e.g., 20 seconds).

Tip: Random delays keep your automation safe and reliable.

Step 7: Choose Your Output Mode (Optional)

Choose how to save and manage the extracted alumni data. TexAu provides the following options:

• Append (Default): Adds new results to the end of existing data, merging them into a single CSV file.
• Split: Saves new results as separate CSV files for each automation run.
• Overwrite: Replaces previous data with the latest results.
• Duplicate Management: Enable Deduplicate (Default) to remove duplicate rows.

Tip: Google Sheets export makes it easy to collaborate with your team in real time.

Screenshot Suggestion: Show the Output Mode settings with options for Google Sheets, CSV, Append, Split, and Deduplicate.

Step 8: Access the Data from the Data Store

After the automation completes, go to the Data Store section in TexAu to access your extracted data. Locate the GitHub Contributors Export automation and click See Data to view or download the results.

Screenshot Suggestion: Show the Data Store screen with the “See Data” button highlighted.

The GitHub Contributors Export automation helps you efficiently gather contributor data from GitHub repositories. With options for scheduling, customizable input sources, and seamless export to Google Sheets or CSV, this tool empowers sales and marketing professionals to identify potential leads, analyze developer contributions, and build targeted outreach lists effectively.