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Find & Qualify Funded Leads with BrowserAct & Gemini

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Last update 3 days ago

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Find & Qualify Funded Leads with BrowserAct & Gemini

This n8n template helps you find new investment leads by automatically scraping articles for funding announcements and analyzing them with an AI Agent.

This workflow is ideal for venture capitalists, sales teams, or market researchers who need to automatically track and compile lists of recently funded companies.


How it works

  • The workflow is triggered manually but can be set to a Cron node to run on a schedule.
  • A Google Sheet node loads a list of keywords (e.g., "Series A," "Series B") and geographic locations to search for.
  • The workflow loops through each keyword, initiating BrowserAct web scraping tasks to collect relevant articles.
  • A second set of BrowserAct nodes patiently monitors the scraping jobs, waiting for them to complete before proceeding.
  • Once all articles are collected, they are merged and fed into an AI Agent node, powered by Google Gemini.
  • The AI Agent processes the articles to identify companies that recently received funding, extracting the Company Name, the Field of Investment, and the source URL.
  • A Code node transforms the AI's JSON output into a clean, itemized format.
  • An If node filters out any entries where no company was found, ensuring data quality.
  • The qualified leads are automatically added or updated in a Google Sheet, matching by "Company" to prevent duplicates.
  • Finally, a Slack message is sent to a channel to notify your team that the lead list has been updated.

Requirements

  • BrowserAct API account for web scraping
  • BrowserAct n8n Community Node -> (n8n Nodes BrowserAct)
  • BrowserAct "Funding Announcement to Lead List (TechCrunch)" Template (or a similar scraping workflow)
  • Gemini account for the AI Agent
  • Google Sheets credentials for input and output
  • Slack credentials for sending notifications

Need Help?


Workflow Guidance and Showcase