Gmail Funding Newsletter Lead Scoring n8n Workflow with GPT-5.6

Turn Gmail funding newsletters into prioritized leads—automatically

This Gmail Funding Newsletter Lead Scoring n8n workflow with GPT-5.6 monitors your Gmail label for newly arrived funding newsletter emails, extracts newly funded companies, enriches them via Bright Data, scores fit against your buyer profile, and emails you a single digest of the best prospects.

What this workflow does

• Watches your inbox: Triggers every 15 minutes when an unread email arrives under the specified Gmail label.
• Extracts funding details with OpenAI: Cleans the newsletter text and uses OpenAI (GPT-5.6) to extract structured funding rounds and company information.
• De-duplicates & caps results: Loads previously seen companies from an n8n Data Table, filters out repeats and small rounds, and keeps only a capped list of new companies.
• Enriches company identity: Uses Bright Data search (avoiding publisher results) to find the most likely official website.
• Reads the homepage: Uses Bright Data Web Unlocker to fetch and normalize the company homepage content for analysis.
• Scores fit with GPT-5.6: Sends funding data, search snippets, and homepage text to GPT-5.6 to generate a 0–100 fit score, a call angle, and a “why now” rationale.
• Stores & sends a digest: Routes results by tier and upserts them into the Data Table, then builds a single HTML digest of “hot” companies (plus a brief watch list) and emails it via Gmail.

Use cases

• SaaS operators who want fast lead triage from funding announcements.
• Automation engineers building an n8n lead scoring pipeline using Gmail + GPT.
• Teams who need an enrichment + prioritization digest instead of manually scanning newsletters.

Technical details

• Scheduling & logic: if, switch, set, code, no op
• Email trigger & delivery: gmail
• AI extraction & scoring: OpenAI (GPT-5.6)
• Enrichment: Bright Data search + Bright Data Web Unlocker
• Storage: n8n Data Table (dedupe, tiering, upserts)