YouTube Video Comment Scraper

The YouTube Video Comment Scraper automation enables you to extract comments from YouTube videos, providing insights into audience opinions, trends, and engagement. This tool is valuable for marketers, researchers, and content creators analyzing user feedback or conducting sentiment analysis. Data can be exported to Google Sheets or CSV for efficient 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 Video Comment Scraper. Click on the automation to open its configuration screen.

Step 2: Connect Your TexAu Account

To enable the scraper, 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 to directly connect your account.

Tip: Use Magic Link for a quick and secure connection.

Step 3: Select Your Input Source

Define the YouTube videos for which you want to scrape comments. TexAu provides the following input options:

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

Tip: Use Google Sheets or CSV for efficiently managing and scraping multiple videos.

Step 4: Schedule the Automation (Optional)

To automate comment 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 particular date and time.
• Every Day: Automate scraping daily at a chosen time.
• On Specific Days of the Week: Choose specific days such as Monday or Friday.
• On Specific Days of the Month: Select specific dates like the 1st or 15th.
• On Specific Dates: Define exact dates for running the automation.

Tip: Scheduling ensures you consistently collect up-to-date comments for ongoing analysis.

Step 5: Set an Iteration Delay (Optional)

To simulate natural browsing and prevent 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 example, delays between 5–10 seconds can make scraping appear more natural.

Step 6: Choose Your Output Mode (Optional)

Decide how to save and manage the extracted 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 results.
3. Duplicate Management: Enable Deduplicate to clean duplicate entries for a more organized dataset.

Tip: Google Sheets is ideal for live data sharing and collaboration.

Step 7: Run the Automation on Cloud or Desktop

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

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

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

Step 8: Access the Data from the Data Store

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

1. Navigate to Data Store in TexAu.
2. Locate the YouTube Video Comment Scraper automation.
3. Click See Data to view or download the extracted comments.

The YouTube Video Comment Scraper automation simplifies the collection of comments from YouTube videos, enabling content creators, marketers, and researchers to analyze audience engagement and sentiment effectively. With features like scheduling, bulk input, and data export to Google Sheets or CSV, this tool supports efficient comment analysis and data-driven strategies.