GitHub Stargazers Export

The GitHub Stargazers Export automation allows you to extract a detailed list of users who have starred a specific GitHub repository. This is an excellent tool for founders, companies, sales managers, marketers, and growth hackers to analyze audience interest, connect with developers, or build outreach campaigns. TexAu enables you to automate the process, export data to Google Sheets or CSV, and schedule recurring runs to ensure your data stays updated. Follow this guide to configure and execute the automation.

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 Stargazers Export automation.

Step 4: Select Your Input Source

The GitHub Stargazers Export allows you to gather a list of all users who have starred a specific GitHub repository. This is particularly useful for understanding audience engagement, identifying potential contributors, or building outreach campaigns. The automation helps export up to 1,000 stargazer profiles per launch.

Single Input

• Repo URL: Enter the GitHub repository URL you want to extract stargazers from.
• Extract Limit (Optional): Specify the maximum number of stargazer profiles to export, with a limit of 1,000 per launch.

Google Sheet Integration

• Upload Google Sheet:

  • Select Google Account: Choose your Google account to access spreadsheets.
  • Spreadsheet: Select your Google Drive spreadsheet containing the Repo URLs.
  • Sheet: Enter the specific sheet name for data processing.

• Optional Settings:

  • Number of Rows to Process: Define the number of rows to process from the sheet.
  • Number of Rows to Skip: Skip rows that are not needed.

  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 ensures real-time workflow automation by detecting new rows in Google Sheets and executing workflows based on changes.

    Customize Watch Row by selecting a frequency and setting a monitoring period.

    Watch Row Schedule

    • None
    • Scheduling Intervals (e.g., every 15 minutes, every hour)
    • One-Time Execution
    • Daily Execution
    • Weekly Recurrence (e.g., every Wednesday and Sunday)
    • Monthly Specific Dates (e.g., 4th and 21st)
    • Custom Fixed Dates (e.g., November 17)

    By default, Watch Row checks every 15 minutes and executes for five days unless modified.

    With Watch Row, TexAu eliminates manual workflow execution.

Process a CSV File

• Upload CSV File: Select a CSV file containing GitHub repository URLs.
• Adjust Settings:
  • Number of Rows to Process (Optional): Limit the number of rows to process.
  • Number of Rows to Skip (Optional): Define rows to skip during processing.
• Provide Input Details:
  • Ensure the CSV file includes valid repository URLs for successful extraction.

Step 5: Schedule the Automation (Optional)

Set a schedule to run the automation at regular intervals and keep your data updated. Click Schedule to configure the start date and time or choose a recurrence frequency:

• None
• At Regular Intervals (e.g., every 12 hours)
• Once
• Every Day
• On Specific Days of the Week (e.g., every Tuesday and Friday)
• On Specific Days of the Month (e.g., the 1st and 15th)
• On Specific Dates (e.g., January 10)

Tip: Scheduling is helpful for monitoring popular repositories over time.

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 view the extracted data. Locate the GitHub Stargazers Export automation and click See Data to access or download the results.

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

The GitHub Stargazers Export automation streamlines the process of identifying users who are interested in specific repositories. With options to schedule recurring runs, use customizable input sources, and export results to Google Sheets or CSV, this tool helps professionals efficiently analyze user interests, build connections, and generate leads.