Discussion Link Analysis → Airtable Research Database
Capture discussion links, analyze content with AI for themes and sentiment, then automatically populate a research database with structured insights.
Workflow Steps
Make (formerly Integromat)
Capture links from discussion sources
Set up Make to monitor multiple discussion platforms (Reddit, Discord, forums) for links matching specific criteria or keywords. Configure filters to capture only relevant discussions based on your research needs.
OpenAI GPT-4
Analyze content for themes and sentiment
Send the captured link content to GPT-4 for analysis. Configure prompts to extract key themes, sentiment analysis, credibility assessment, and relevance scoring. Structure the output as JSON for easy database insertion.
Diffbot
Extract structured data from web pages
Use Diffbot's Article API to extract clean, structured content from the links including title, author, publish date, main content, and metadata. This ensures consistent data quality regardless of the source website format.
Airtable
Store insights in organized research base
Automatically create new records in Airtable with the extracted data and AI analysis. Set up fields for themes, sentiment scores, source credibility, key quotes, and follow-up actions. Configure views for easy filtering and analysis.
Workflow Flow
Step 1
Make (formerly Integromat)
Capture links from discussion sources
Step 2
OpenAI GPT-4
Analyze content for themes and sentiment
Step 3
Diffbot
Extract structured data from web pages
Step 4
Airtable
Store insights in organized research base
Why This Works
Combines web scraping, AI analysis, and database automation to transform manual research into systematic knowledge collection, making patterns and trends immediately visible.
Best For
Market researchers and analysts tracking industry conversations
Explore More Recipes by Tool
Comments
No comments yet. Be the first to share your thoughts!