Scrape Product Reviews → Analyze Sentiment → Generate Report
Extract customer reviews from multiple platforms, analyze emotional sentiment using AI, and create automated competitive intelligence reports.
Workflow Steps
Scrapy
Extract customer reviews
Set up Scrapy spiders to collect reviews from Amazon, Google Reviews, Trustpilot, and other platforms. Configure selectors to capture review text, ratings, dates, and reviewer information. Set up rotating proxies and respect rate limits to avoid blocking.
OpenAI GPT-4
Analyze sentiment and themes
Process each review through GPT-4 with prompts to identify sentiment (positive/negative/neutral), extract key themes (product features, pain points, praise), and categorize feedback types. Use structured output format for consistent data processing.
Google Sheets
Store and organize data
Use Google Sheets API to automatically populate a master spreadsheet with review data, sentiment scores, theme categories, and metadata. Create separate tabs for different products or time periods, and set up conditional formatting to highlight trends.
Google Docs
Generate automated reports
Use Google Docs API with templates to create weekly/monthly reports. Include sentiment trend charts, top themes, competitive comparisons, and actionable insights. Auto-share reports with stakeholders via email or Slack integration.
Workflow Flow
Step 1
Scrapy
Extract customer reviews
Step 2
OpenAI GPT-4
Analyze sentiment and themes
Step 3
Google Sheets
Store and organize data
Step 4
Google Docs
Generate automated reports
Why This Works
Combines web scraping with AI analysis to transform unstructured review data into actionable insights, providing comprehensive market intelligence that would take days to compile manually.
Best For
Product managers tracking customer feedback and competitive intelligence
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