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: Connect to Github with TexAu

Log in to your TexAu account at v2-prod.texau.com. Connect your GitHub account. Click Add Account and choose GitHub. TexAu provides two convenient connection methods:

• Share via Magic Link: Sends a secure link to your email for a seamless login experience without entering cookies manually.
• Add Account: Connects directly through TexAu’s built-in browser extension for a straightforward setup.

Tip: Share via Magic Link is a secure and fast way to connect your GitHub account without cookie management.

Step 2: Log in to the TexAu App and Locate the Automation

Navigate to the Automation Store and type GitHub Stargazers Export in the search bar. This automation allows you to extract details about users who starred a specific repository, including usernames and profile URLs.

Step 3: Execute Automations on TexAu Desktop or Cloud

• Open the automation setup and select Desktop Mode.
• Click Choose a Desktop to Run this Automation.
• From the platform, select your connected desktop (status will show as "Connected") or choose a different desktop mode or account.
• Click “Use This” after selecting the desktop to run the automation on your local system.
• Alternatively, if you wish to run the automation on the cloud, click Run directly without selecting a desktop.

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.
• Loop Mode: Enable loop mode to reprocess the sheet once the last row is reached.

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.