Startup Funding Research Automation with Claude, Perplexity AI, and Airtable

Startup Funding Research Automation with Claude, Perplexity AI, and Airtable How it works This intelligent workflow automatically discovers and analyzes recently funded startups by: Monitoring multiple news sources (TechCrunch and VentureBeat) for funding announcements Using AI to extract key funding details (company name, amount raised, investors) Conducting automated deep research on each company through perplexity deep research or jina deep search. Organizing all findings into a structured Airtable database for easy access and analysis Set up steps (10-15 minutes) Connect your news feed sources (TechCrunch and VentureBeat). Could be extended. These were easy to scrape and this data can be

Help me set up the n8n workflow "Startup Funding Research Automation with Claude, Perplexity AI, and Airtable" (https://n8n.io/workflows/3107). It uses: Airtable, HTTP Request, HTML, Basic LLM Chain, Anthropic Chat Model, Auto-fixing Output Parser, Structured Output Parser, Information Extractor, OpenRouter Chat Model. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.