Get sentiment analysis from Youtube comments and save to Notion
This is a Bardeen playbook. It's a pre-built automation template you can run in one-click to perform a repetitive task. Get started with our free Chrome extension.
How does this automation work?
Understanding public sentiment can be pivotal for marketing and product development strategies. Bardeen's Playbook for sentiment analysis of Youtube comments offers an innovative solution to gather insights from the audience directly. By automating the collection and analysis of comments, businesses can save time and gain valuable data to enhance their user engagement and content strategy.
Here's how this workflow analyzes Youtube comments and saves them to Notion:
- Step 1: Scrape Youtube Comments - Bardeen's Scraper is used to extract comments from the currently open Youtube video tab. You'll be able to specify the maximum number of comments to scrape.
- Step 2: Analyze Sentiment with OpenAI - Utilizing OpenAI's advanced models, the sentiment of each comment is analyzed to determine overall audience reception.
- Step 3: Save to Notion - The results of the sentiment analysis are then saved to a specific Notion database, creating a new page for each entry.
How to run the playbook
Get ready to level up your YouTube game with this automation. Say goodbye to the manual headache of sifting through YouTube comments and struggling to make sense of them. This game-changing solution does all the heavy lifting for you. It scrapes comments from the currently opened YouTube video, runs a sentiment analysis, and saves the results directly to a Notion database.
It can be a real challenge to manually go through each comment, especially when dealing with a flood of engagement. But fret not! This Playbook is here to simplify your life and provide valuable insights in a snap.
Imagine effortlessly capturing the sentiment of YouTube comments with just a few clicks. Whether you're a content creator wanting to understand your audience's reactions, a social media manager looking to gauge engagement, a researcher diving into sentiment analysis, or even a curious viewer exploring the sentiment around a video, this Playbook has got you covered.
Use it to gain deeper insights and uncover trends by analyzing sentiments related to specific topics or themes in YouTube comments. Dive into sentiment analysis to understand how your audience perceives your content or products. You can even save positive sentiment comments as testimonials to showcase the impact of your channel.
This innovative automation seamlessly integrates YouTube, sentiment analysis, and Notion, empowering you to make data-driven decisions and better understand your audience.
Let’s set it up!
Step 1: Create a Notion database
The first step is to create a Notion database with the comment information you want to save.
Bardeen will extract information from the currently opened YouTube video’s comment, run a sentiment analysis and give you information like commenter, comment, sentiment, comment reply link and video URL.
Step 2: Install the extension and run the playbook
You will be redirected to install the browser extension when you run it for the first time. Bardeen will also prompt you to integrate Notion.
Click the “Pin it” button at the top of this page to get this automation saved to your Playbooks. If it’s your first time using Bardeen, you will be redirected to install the extension.
Activate Bardeen (or hit Option + B on Mac or ALT + B on PC on your keyboard) and click to run the playbook. The setup flow will start.
You will be asked to specify a Notion database and choose the maximum number of comments you would like to extract. After you choose the database and arguments, you will get a prompt to map the information to the fields in Notion.
The left side consists of all the fields Bardeen will scrape for you. On the right side, specify the fields in Notion that you want to associate with the information on the left. If you don’t want a piece of information, leave that field empty, and it will be skipped. That’s it!
Click on “Save Input” and checkmark Notion. You can edit Inputs later by hovering over the playbook.
Step 3: Start saving!
Whenever you want to run a sentiment analysis -on your or your competitors' videos, navigate to the video’s comment section, activate Bardeen (or hit Option + B on Mac or ALT + B on a Windows machine on your keyboard) and run this playbook. It will capture all the comments, run a sentiment analysis and save the information to your Notion database.
This automation is fantastic if you want to conduct in-depth research by analyzing the sentiment of YouTube comments related to specific topics or trends. You can also dive into competitor analysis by comparing the sentiment of comments on your videos versus those of your rivals and perform performance analysis by tracking sentiment trends over time to see how your content resonates with your audience.
Additionally, you can use this automation as a powerful tool for sorting through feedback. Quickly identify positive or negative sentiments to gain insights into what your audience loves or areas that need improvement. You can even leverage positive sentiment comments as testimonials to showcase the impact of your content or products.
You can also edit the playbook and add your next action to further customize the automation.
Find more Notion integrations, YouTube integrations, and Notion and YouTube integrations.
You can also find more about how to increase your personal productivity and automate your data sourcing and research process.
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FAQs
You can create a Bardeen Playbook to scrape data from a website and then send that data as an email attachment.
Unfortunately, Bardeen is not able to download videos to your computer.
Exporting data (ex: scraped data or app data) from Bardeen to Google Sheets is possible with our action to “Add Rows to Google Sheets”.
There isn't a specific AI use case available for automatically recording and summarizing meetings at the moment
Please follow the following steps to edit an action in a Playbook or Autobook.
Cases like this require you to scrape the links to the sections and use the background scraper to get details from every section.