Get sentiment analysis from Youtube comments and save to Airtable

Steps:

Understanding the sentiment of your audience is crucial for tailoring your content strategy and improving viewer engagement on YouTube. The Bardeen playbook provides an automated solution to scrape comments from YouTube videos, analyze their sentiment, and save the insights directly to an Airtable base. This automated process is designed to save time, provide actionable insights, and help you understand your audience better.

Here is how the workflow processes YouTube comments for sentiment analysis:

• Step 1: Scrape YouTube Comments - Utilize Bardeen's Scraper to collect comments from the currently active YouTube video tab. Specify the maximum number of comments you'd like to analyze to tailor the data to your needs.
• Step 2: Analyze Sentiment with OpenAI - After scraping, the comments are analyzed by OpenAI's sentiment analysis to understand the general sentiment (positive, negative, neutral) expressed in the comments.
• Step 3: Save to Airtable - The sentiment analysis results, along with the comments, are then saved to your Airtable base, allowing for easy organization and review.

The new Bardeen – Find leads no one else does:

With our new Bardeen version, you can easily extract data from any website and discover new leads across the web. After extracting data from a website, use Bardeen’s powerful automation tools to validate and enrich your data, run additional scrapers on linked pages, or leverage AI to qualify leads and generate content automatically. Once your data is ready, you can easily export it to CSV, Google Sheets, Airtable, or Notion for further analysis and reporting.