Get sentiment analysis of AppSumo product reviews and save to Airtable

This Playbook will get comments from the currently opened AppSumo product reviews page. It will then use OpenAI to run a sentiment analysis and save the results to an Airtable.
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Scrape data on active tab
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Analyze sentiment
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Add data to Airtable
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Steps:

Understanding customer sentiments can be pivotal for businesses, especially when analyzing product reviews. This playbook automates the process of extracting reviews from an AppSumo product page, performing sentiment analysis using OpenAI, and saving the results in Airtable for easy access and organization. Perfect for marketers, product managers, and customer experience teams, this workflow saves hours of manual analysis and helps you quickly gauge public opinion on your products.

Here's how this workflow performs sentiment analysis on AppSumo product reviews and saves the insights:

  • Step 1: Extract Reviews from AppSumo - Utilizing Scraper, we capture customer reviews directly from the product's AppSumo page. Specify the maximum number of reviews you wish to analyze when prompted.
  • Step 2: Analyze Sentiment with OpenAI - The reviews are then analyzed for sentiment by OpenAI, identifying the emotional tone behind the words used in the customer feedback.
  • Step 3: Save Analysis to Airtable - Finally, the sentiment analysis data is stored in an Airtable base, making it easy to organize, sort, and share the results with your team.

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