Automated LinkedIn and Email Data Extraction Workflow

This n8n workflow is designed to automate the process of gathering LinkedIn URLs, contact details, and workplace context from Google search results and integrating the data into a structured Google Sheet. It helps streamline prospecting, lead generation, or research activities by automating data collection from multiple sources.

The workflow begins with a trigger to receive chat messages, which then prompts the generation of Boolean search strings via OpenAI’s language model. These strings are used to perform Google searches through HTTP requests. The search results are parsed to extract LinkedIn URLs, first names, last names, emails, and workplace context.

Data is organized and added into a Google Sheet, with specific columns created for LinkedIn URLs, first names, last names, emails, and company context. The workflow also incorporates steps for pagination, allowing it to retrieve and process results across multiple search result pages seamlessly.

Additional nodes, including Hunter.io integration, enhance the contact information extraction by verifying and supplementing email addresses. Conditional logic ensures the workflow continues fetching data until desired results are reached. This system can be used for outreach campaigns, market research, or networking by continuously updating relevant contact databases with accurate, fresh data.