DNB Company Search & Extract with Bright Data & OpenAI 4o mini

This workflow streamlines gathering structured business intelligence from Dun & Bradstreet (D&B) by automating search, scraping, and extraction. It starts with user inputs for search query and webhook URL, uses Bright Data's MCP for Google searches to find D&B company pages, scrapes content into markdown, and leverages OpenAI 4o mini to parse it into clean JSON with details like company name, size, address, industry, and more. Results are notified via webhook and saved locally.

Benefits include eliminating manual browsing and data entry, saving hours per search, ensuring consistent structured output, and enabling scalable B2B intelligence pipelines. It's reliable with community nodes on self-hosted n8n, handling complex scraping ethically via Bright Data proxies.

Ideal for market researchers, B2B sales teams, business analysts, investment pros, and AI devs building financial graphs. Use cases: lead generation from company lists, competitor analysis, supplier vetting, or enriching CRM data with D&B insights.

Preconditions: Self-hosted n8n with Bright Data and OpenAI credentials; knowledge of Model Context Protocol for advanced setups.