GitHub Repository Search Export
Simplify GitHub repository analysis with TexAu’s GitHub Repository Search Export tool. Perfect for founders, marketers, and growth hackers, this automation extracts repository details like names, descriptions, stars, and contributors based on specific search queries. With bulk input handling, scheduling, and export options to Google Sheets or CSV, TexAu ensures efficient and scalable GitHub data management. Optimize your outreach and trend tracking today!
Tutorial
Overview
The GitHub Repository Search Export automation allows you to extract detailed data on repositories matching specific search queries from GitHub. This tool is ideal for founders, companies, sales managers, marketers, and growth hackers looking to analyze repositories, track trends, or build outreach campaigns. With TexAu, you can automate the process, export data to Google Sheets or CSV, and schedule recurring runs to keep your records up to date. 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 select 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 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 Repository Search Export in the search bar. This automation helps you find and extract details such as repository names, descriptions, stars, forks, and contributors based on your search criteria.
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 Repository Search Export automation simplifies the process of extracting repository information from GitHub based on specific search criteria. Users can filter by search keywords, categories, and optional extraction limits to retrieve the most relevant repository details effortlessly.
Single Input
- Search: Enter the search keyword or the GitHub search URL to extract repositories.
- Category (Optional): Select a specific category to filter the results further.
- Extract Limit (Optional): Set the maximum number of repositories to extract (Max. 100 results per launch).
Google Sheet Integration
- Upload Google Sheet:
- Select Google Account: Choose the connected Google account.
- Spreadsheet: Click Open Google Drive to select the desired spreadsheet.
- Sheet: Enter the name of the sheet containing input data.
- Optional Settings:
- Number of Rows to Process: Specify the number of rows to process.
- Number of Rows to Skip: Define the number of rows to skip.
- Loop Mode: Enable loop mode to reprocess the Google Sheet data after reaching the last row.
Process a CSV File
- Upload CSV File: Upload a CSV file containing repository search keywords or URLs.
- Adjust Settings:
- Number of Rows to Process (Optional): Limit the rows for processing.
- Number of Rows to Skip (Optional): Define rows to skip.
- Provide Input Details: Ensure the correct column in the CSV contains valid search criteria for GitHub repositories.
Step 5: Schedule the Automation (Optional)
TexAu allows you to schedule the automation to run at regular intervals, ensuring your data remains updated. Click Schedule to configure the start date and time or select a recurrence frequency:
- None
- At Regular Intervals (e.g., every 8 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., March 5)
Tip: Scheduling is useful for monitoring repositories with frequent updates or trends.
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 repository data. Locate the GitHub Repository Search Export 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 Repository Search Export automation simplifies the process of identifying and analyzing repositories on GitHub. With customizable input options, scheduling, and seamless export to Google Sheets or CSV, this tool is essential for professionals looking to monitor trends, analyze projects, or build data-driven outreach campaigns.
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