YouTube Channel Scraper

The YouTube Channel Scraper automation enables you to extract detailed information about a YouTube channel, including channel name, subscriber count, video count, and more. This tool is perfect for marketers, researchers, and growth hackers conducting competitive analysis, trend research, or building datasets for marketing campaigns. Data can be exported to Google Sheets or CSV for seamless organization and analysis. Follow this detailed guide to configure and run 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 search for YouTube Channel Scraper. Click on the automation to open its configuration screen.

Step 2: Connect Your TexAu Account

To enable the automation, ensure your TexAu account is connected. Click Add Account and select one of the following methods:

1. Magic Link: Receive a secure link via email for seamless login without managing cookies.
2. Browser Extension: Use TexAu's built-in extension for a direct connection.

Tip: Use Magic Link for a faster and more secure setup.

Step 3: Select Your Input Source

Define the YouTube channels you want to scrape. TexAu provides the following input options:

1. Manually Enter a Single Input: Enter a single YouTube channel URL directly into the input field.
2. Google Sheets: Use a Google Sheet with multiple channel URLs, one per row. Paste the sheet link or connect your Google account to grant access.
3. CSV File: Upload a CSV file containing channel URLs in a column for bulk processing.

Tip: Use Google Sheets or CSV for managing multiple channels efficiently.

Step 4: Schedule the Automation (Optional)

To scrape channel details at specific times, configure the Schedule settings:

• None: Run the automation immediately.
• At Regular Intervals: Set to repeat every few hours or daily.
• Once: Specify a one-time run at a specific date and time.
• Every Day: Automate scraping daily at a chosen time.
• On Specific Days of the Week: Choose specific days like Monday or Friday.
• On Specific Days of the Month: Select specific dates like the 1st or 15th.
• On Specific Dates: Define exact dates for the automation.

Tip: Scheduling ensures consistent updates for ongoing projects such as competitive analysis.

Step 5: Set an Iteration Delay (Optional)

To simulate natural browsing behavior and reduce the risk of detection, configure an Iteration Delay between scraping requests. Adjust these parameters:

• Minimum Delay: The shortest interval between requests.
• Maximum Delay: The longest interval to introduce randomness.

For instance, set delays between 5–10 seconds to make scraping appear more organic.

Step 6: Choose Your Output Mode (Optional)

Select how to save and organize the extracted channel data:

1. Export Options: Choose Google Sheets for real-time collaboration or CSV for offline access.
2. Output Management:
   • Append: Add new data to the end of an existing file.
   • Split: Create a new file for every automation run.
   • Overwrite: Replace previous data with the latest scraping results.
3. Duplicate Management: Enable Deduplicate to clean duplicate entries for a more organized dataset.

Tip: Exporting directly to Google Sheets is ideal for live collaboration on scraped channel data.

Step 7: Run the Automation on Cloud or Desktop

After configuring the automation, click Run to start the process. Choose between:

• Cloud: Run the automation on TexAu’s servers for a hands-free experience.
• Desktop: Run locally on your device, using your IP address to simulate manual browsing.

Tip: Running the automation in Desktop mode saves cloud runtime credits and provides more control over execution.

Step 8: Access the Data from the Data Store

After the automation completes, access your results in the Data Store:

1. Navigate to Data Store in TexAu.
2. Locate the YouTube Channel Scraper automation.
3. Click See Data to view or download the scraped channel details.

The YouTube Channel Scraper automation simplifies the process of extracting detailed data about YouTube channels, helping marketers, researchers, and growth hackers build datasets for analysis. With features like bulk input, scheduling, and export to Google Sheets or CSV, this tool supports efficient competitive research and content strategy development.