YouTube Channel Videos Scraper

The YouTube Channel Videos Scraper automation allows you to extract information about videos from YouTube channels, including titles, descriptions, upload dates, view counts, and more. This tool is essential for marketers, researchers, and growth hackers looking to analyze content trends or build datasets for video marketing. Data can be exported to Google Sheets or CSV for streamlined organization and tracking. Follow this guide to configure and run the automation effectively.

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 Videos 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 to link your account:

1. Magic Link: Receive a secure link via email for cookie-free login.
2. Browser Extension: Use TexAu's built-in extension for a direct and easy connection.

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

Step 3: Select Your Input Source

Define the input to specify the YouTube channels for which you want to scrape video data. TexAu provides three input options:

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

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

Step 4: Schedule the Automation (Optional)

To automate video scraping 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 selected time.
• On Specific Days of the Week: Choose days such as Tuesday or Friday.
• On Specific Days of the Month: Select specific dates like the 1st or 15th.
• On Specific Dates: Define exact dates for scraping.

Tip: Scheduling helps you regularly update video data without manual effort.

Step 5: Set an Iteration Delay (Optional)

Simulate natural browsing behavior by setting an Iteration Delay between requests. Adjust the following:

• Minimum Delay: Set the shortest interval between each request.
• Maximum Delay: Set the longest interval to add randomness.

For example, set delays between 5–10 seconds to reduce the risk of detection.

Step 6: Choose Your Output Mode (Optional)

Select how you want to save and manage the scraped 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 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 remove duplicate entries for cleaner datasets.

Tip: Exporting directly to Google Sheets is ideal for teams working on live datasets.

Step 7: Run the Automation on Cloud or Desktop

Once all configurations are complete, click Run to start the automation. Choose your preferred mode:

• Cloud: Run on TexAu’s servers for hands-free execution.
• Desktop: Run locally on your device to use your IP address and simulate manual browsing.

Tip: Running the automation in Desktop mode can save cloud runtime credits and offer greater 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 Videos Scraper automation.
3. Click See Data to view or download the extracted video details.

The YouTube Channel Videos Scraper automation simplifies the process of extracting video data from YouTube channels, enabling marketers, researchers, and growth hackers to build detailed datasets for analysis. With bulk input, scheduling, and export options to Google Sheets or CSV, this tool enhances content strategies and market research efforts.