GitHub Code Search Export

The GitHub Code Search Export automation helps you extract search results for specific code queries from GitHub repositories. This is an invaluable tool for founders, sales managers, marketers, and growth hackers looking to analyze codebases, find relevant projects, or identify potential leads for outreach. With TexAu, you can automate the process, export the data to Google Sheets or CSV, and schedule recurring runs to maintain up-to-date insights. Follow this guide to configure and run 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 select GitHub. TexAu offers 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.

Screenshot Suggestion: Show the GitHub connection options, highlighting both Magic Link and Add Account methods.

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

Go to the Automation Store and type GitHub Code Search Export in the search bar. This automation enables you to search GitHub code repositories based on specific keywords or queries and extract the relevant results.

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

GitHub Code Search Export allows you to extract specific code results directly from GitHub using keywords or search URLs. This automation simplifies finding repositories or code snippets by streamlining the search process and exporting relevant data efficiently. It’s ideal for developers, researchers, or teams looking to analyze or reference GitHub code at scale.

Single Input

• Account: Select the GitHub account to use for code search.
• Search: Enter your keyword or GitHub search URL. Example: https://github.com/search?q=AI&type=code.
• Extract Limit (Optional): Specify the number of results to extract (maximum 100 per launch).

Google Sheet

• Upload Google Sheet:
  • Select Google Account: Choose your connected Google account.
  • Spreadsheet: Click Open Google Drive to select a spreadsheet containing search keywords or URLs.
  • Sheet: Enter the sheet name for processing data.
• Optional Settings:
  • Number of Rows to Process: Specify how many rows to process in the spreadsheet.
  • Number of Rows to Skip: Define rows to skip during the automation.
• Loop Mode: Enable loop mode to reprocess the Google Sheet after reaching the last row.

Process a CSV File

• Upload CSV File: Select a CSV file containing GitHub search URLs or keywords.
• Adjust Settings:
  • Number of Rows to Process (Optional): Limit the rows to process from the file.
  • Number of Rows to Skip (Optional): Define rows to skip during the process.
• Provide Input Details:
  • Ensure the correct column contains valid GitHub search URLs or keywords.

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

Step 5: Schedule the Automation (Optional)

Configure a schedule to run the automation at regular intervals. Click Schedule to choose a start date and time or set a recurrence frequency:

• None
• At Regular Intervals (e.g., every 24 hours)
• Once
• Every Day
• On Specific Days of the Week (e.g., every Tuesday and Thursday)
• On Specific Days of the Month (e.g., the 1st and 15th)
• On Specific Dates (e.g., January 10)

Tip: Scheduling is useful for tracking ongoing changes in codebases or staying updated on new results.

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 the exported results. Locate the GitHub Code Search Export automation and click See Data to view or download the data.

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

The GitHub Code Search Export automation makes it easy to search and analyze GitHub repositories based on specific queries. With options to schedule recurring runs, use customizable input sources, and export results to Google Sheets or CSV, this tool is ideal for professionals looking to streamline code analysis, identify contributors, or generate leads efficiently.