BrowserAct- Amazon Competitor & Review Sentiment
BrowserAct- Amazon Competitor & Review Sentiment
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About
Manually tracking Amazon reviews for your products and competitors is a time-consuming challenge. This template automates your entire competitive analysis process. It uses BrowserAct to reliably scrape customer reviews and OpenAI for deep sentiment analysis, highlighting key themes, pros, cons, and strategic recommendations.
Key Features: AI-Powered Insights: Get AI-driven analysis of customer sentiment, key differentiators, and trending issues.
Multi-Channel Reporting: Receive a professional PDF report via email, a real-time summary in Slack, and a historical log in Google Sheets.
Fully Scalable: Easily add or remove competitor ASINs in the first module to adapt the analysis without reconfiguring the workflow.
Saves Time: Automate hours of manual research and data compilation.
How It Works: Simply enter your product and competitor ASINs. The workflow uses BrowserAct to scrape reviews, OpenAI performs the analysis, and then the results are automatically distributed to Google Sheets, Slack, and email as a PDF.
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Create custom workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.
Creates a new conditional format rule at the given index. All subsequent rules' indexes are incremented.
Appends a new row to the bottom of the table.
Adds a new sheet.
Adds files to a specified vector store or, if not specified, creates a new vector store based on the configuration.
Analyzes images according to specified instructions.
Appends multiple rows to the bottom of the table.
Updates multiple rows.
Cancels an "in-progress" batch. The batch will be in status "cancelling" for up to 10 minutes, before changing to "cancelled", where it will have partial results (if any) available in the output file.
Clears a specified range of values from a spreadsheet.
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