Capture leads on WhatsApp and save them to Sheets
An n8n WhatsApp agent asks leads for their name and email and automatically saves them to Google Sheets, shown in a demo.
Hermes spawned sub-agents per area to scrape Northwest London plumbers lacking websites, filtered them, and returned three qualified leads with pitch angles.
Hermes spawned sub-agents per area to scrape Northwest London plumbers lacking websites, filtered them, and returned three qualified leads with pitch angles.
In a live demo, the prompt asked Hermes to scrape the web for Northwest London plumbers with no website and return three qualified leads for an AI-built website pitch. Hermes spawned a sub-agent for each area to scrape. It then ran a disqualification pass, keeping leads with real addresses, a clear profile and a natural pitch angle.
It returned three leads, each with a tailored pitch angle. One example was Oliver Plumbers Limited. It also added legal caveats and a pre-outreach checklist that nobody had asked for.
No website found in search doesn't mean none exists, since a business might only have a WhatsApp profile. Verify each lead before outreach. The demo ran on a $0.24/hour CPU instance.
Find [type of local business, e.g. plumbers] in [area] that have no website. Split the area into sub-areas and search each one, then filter out duplicates and businesses that look closed. Return [number] qualified leads with name, phone, source link, and a suggested pitch angle for [my service]. Don't contact anyone; show me the list before any outreach.
An n8n WhatsApp agent asks leads for their name and email and automatically saves them to Google Sheets, shown in a demo.
An n8n agent handles customer WhatsApp messages, searches info, checks the calendar, logs to Sheets or Notion, and replies by WhatsApp and email.
A Lindy agent researches YouTube ideas and scripts, and another emails a brief on discovery-call contacts 10 minutes before meetings; complex content stayed on Make.