Advanced Multi-Source AI Research with Bright Data, OpenAI, Redis

Description

How it Works
This workflow transforms natural language queries into research reports through a five-stage AI pipeline. When triggered via webhook (typically from Google Sheets using the companion google-apps-script.js (GitHub gist), it first checks Redis cache for instant results.

For new queries, GPT-4o breaks complex questions into focused sub-queries, optimizes them for search, then uses Bright Data's MCP Tool to find the top 5 credible sources (official sites, news, financial reports). URLs are scraped in parallel, bypassing bot detection.

GPT-4o extracts structured data from each source: answers, facts, entities, sentiment, quotes, and dates. GPT-4o-mini validates source credibility and filters unreliable content. Valid results aggregate into a final summary with confidence scores, key insights, and extended analysis.

Results cache for 1 hour and output via webhook, Slack, email, and DataTable—all in 30-90 seconds with 60 requests/minute rate limiting.

Who is this for?
Research teams needing automated multi-source intelligence
Content creators and journalists requiring fact-checked information
Due diligence professionals conducting competitive intelligence
Google Sheets power users wanting AI research in spreadsheets
Teams managing large research volumes needing caching and rate limiting

Setup Steps
Setup time: 30-45 minutes

Requirements:
Bright Data account (Web Scraping API + MCP token)
OpenAI API key (GPT-4o and GPT-4o-mini access)
Redis instance
Slack workspace (optional)
SMTP email provider (optional)
Google account (optional for Sheets integration)

Core Setup:
Get Bright Data Web Scraping API token and MCP token
Get OpenAI API key
Set up Redis instance
Configure critical nodes:
Webhook Entry: Add Header Auth token
Bright Data MCP Tool: Add MCP endpoint with token
Parallel Web Scraping: Add Bright Data API credentials
Redis Nodes: Add connection credentials
All GPT Nodes: Add OpenAI API key (5 nodes)
Slack/Email: Add credentials if using

Google Sheets Integration:
Create Google Sheet
Open Extensions → Apps Script
Paste the companion google-apps-script.js code
Update webhook URL and auth token
Save and authorize

Test: {"prompt": "What is the population of Tokyo?", "source": "Test", "language": "English"}

Customization Guidance
Source Count:** Change from 5 to 3-10 URLs per query
Cache Duration:** Adjust from 1 hour to 24 hours for stable info
Rate Limits:** Modify 60/minute based on usage needs
Character Limits:** Adjust 400-char main answer to 200-1000
AI Models:** Swap GPT-4o for Claude or use GPT-4o-mini for all stages
Geographic Targeting:** Add more regions beyond us/il
Output Channels:** Add Notion, Airtable, Discord, Teams
Temperature:** Lower (0.1-0.2) for facts, higher (0.4-0.6) for analysis

Once configured, this workflow handles all web research, from fact-checking to complex analysis—delivering validated intelligence in seconds with automatic caching.

Built by Daniel Shashko
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