Extract company data from DNB: Google scraping and AI…

This automation template enables fast extraction and structuring of company data from Dun & Bradstreet (DNB), ideal for professionals who need to gather public business information efficiently and without manual effort.

## Who it´s for
- Analysts collecting company data from public sources
- Market intelligence managers needing quick access to company profiles
- Automation developers using web scraping and AI to process online content

## What the automation does
- Triggered manually with a company name input
- Constructs a Google search query to find the company’s DNB profile
- Uses Bright Data MCP to scrape the page and extract content as Markdown
- Leverages OpenAI 4o mini via LangChain to parse and structure key details (name, industry, address, contacts, etc.)
- Saves structured output as a JSON file locally
- Sends the data via webhook (e.g., to CRM or internal system)

## What´s included
- Ready-to-use n8n workflow
- Trigger and handler logic based on manual execution
- Integrations with Bright Data MCP, Google Search, OpenAI, HTTP API, and local file system
- Basic text guide for launch and adaptation

## Requirements for setup
- n8n account
- Bright Data MCP access
- OpenAI API key
- Webhook endpoint (e.g., Webhook.site or internal service)
- Local filesystem access for JSON output

## Benefits and outcomes
- Saves time on manual company research
- Standardized JSON output for seamless integration
- Scalable for bulk company data collection
- High extraction accuracy through combined scraping and LLM processing
- Automated data forwarding via webhook

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via в чате.