GitHub Profile Scraper
Simplify GitHub profile analysis with TexAu’s GitHub Profile Scraper. Perfect for founders, marketers, and growth hackers, this automation extracts user details, including usernames, repositories, bio information, and more. With scheduling, bulk input handling, and export options to Google Sheets or CSV, TexAu makes data collection and outreach campaigns seamless and efficient. Optimize your developer insights today!
Tutorial
Overview
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 the TexAu App and Locate the Automation
Log in to your TexAu account at v2-prod.texau.com. Navigate to the Automation Store and type GitHub Profile Scraper in the search bar. This automation allows you to extract data from GitHub profiles, including usernames, email addresses (if public), followers, repositories, and bio information.
Step 2: Connect to GitHub with TexAu
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 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 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.
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.
- 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 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.
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