GitHub Profile Scraper

The GitHub Profile Scraper automation enables you to extract detailed information from GitHub user profiles. This tool is valuable for founders, companies, sales managers, marketers, and growth hackers to gather insights about developers, identify potential leads, or build personalized outreach campaigns. With TexAu, you can automate the process, export data to Google Sheets or CSV, and schedule recurring runs for consistent updates. 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 Profile Scraper automation.

Screenshot Suggestion: Show the Run button with options for Cloud and Desktop.

Step 4: Select Your Input Source

GitHub Profile Scraper allows users to extract detailed profile data from GitHub, including repositories, followers, and other user-specific information. This is particularly useful for research, recruitment, or data enrichment for developer outreach.

Single Input

• Profile URL: Paste the GitHub profile handle or URL (e.g., https://github.com/username) to scrape profile information.

Google Sheet

Upload Google Sheet:

• • Select Google Account: Choose your Google account connected to TexAu.
  • Spreadsheet: Click Open Google Drive to select the spreadsheet containing profile URLs.
  • Sheet: Enter the specific sheet name.

• Optional Settings:

  • Number of Rows to Process: Limit the number of rows processed in the sheet.
  • Number of Rows to Skip: Skip rows if needed.

• Watch Row (Optional)

  Watch Row settings by selecting an update frequency and an execution timeframe.

  Watch Row Schedule

  • None
  • Scheduling Intervals (e.g., every 15 minutes, every hour)
  • One-Time Execution
  • Daily Execution
  • Weekly Recurrence (e.g., every Tuesday and Friday)
  • Monthly Specific Dates (e.g., 8th and 24th)
  • Custom Fixed Dates (e.g., September 18)

  By default, Watch Row scans every 15 minutes and runs for five days unless changed.

  With Watch Row, workflows stay dynamic and data-driven.

Process a CSV File

• Upload CSV File: Select a CSV file containing profile URLs.
• Adjust Settings:
  • Number of Rows to Process: Define how many rows to process.
  • Number of Rows to Skip: Set rows to skip as needed.
• Provide Input Details:
  • Ensure the uploaded CSV has a column containing valid GitHub profile URLs.

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 the automation to run at regular intervals, ensuring your data remains up to date. Click Schedule to set a start date and time or select a recurrence frequency:

• None
• At Regular Intervals (e.g., every 12 hours)
• Once
• Every Day
• On Specific Days of the Week (e.g., every Monday and Thursday)
• On Specific Days of the Month (e.g., the 1st and 15th)
• On Specific Dates (e.g., February 20)

Tip: Scheduling is useful for ongoing monitoring of developer profiles or large projects.

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.

Tip: Exporting to Google Sheets is perfect for collaborative work and real-time updates.

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 profile data. Locate the GitHub Profile Scraper automation and click See Data to access or download the results.

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

The GitHub Profile Scraper automation simplifies the process of gathering information from GitHub profiles. With features for scheduling, customizable input sources, and seamless export to Google Sheets or CSV, this tool is essential for professionals looking to efficiently collect, analyze, and utilize GitHub user data.