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.
n8n agents notify automation agencies when a business receives bad reviews so they can call first and offer a damage-control tool.
n8n agents notify automation agencies when a business receives bad reviews so they can call first and offer a damage-control tool.
An n8n AI Agent node sits behind a hosted chat interface. The user names a country. The agent calls Bright Data tools to snapshot Google Maps review data, then retrieves it. It filters for well-rated businesses with reviews of 3 stars or lower and no owner reply, then summarizes the top 5 and sends results by email or Slack on request.
It works as a demo submitted to a challenge, and the author has no plans to commercialize it. The sales-script generation tool is currently disabled. The source states no lead or conversion numbers.
Bright Data snapshots avoided looping Google Places and Reviews calls per place_id, which the author says gets you blocked quickly; read each node's docs before building.
Build an n8n workflow that checks Google reviews for [type of local business, e.g. dentists in my city] every day and flags any business that just got a review of [1 or 2 stars]. For each one, have an AI step summarize the complaint and draft a short call script offering [my damage-control tool or service], then email me the business name, phone number, review text and script. Test it on a few businesses and show me the results; do not contact any business yourself.
An n8n WhatsApp agent asks leads for their name and email and automatically saves them to Google Sheets, shown in a demo.
Score every demo request against your ICP, update HubSpot and ping the right rep in Slack within a minute of the form submit.
Every new Zendesk ticket gets a category, priority and sentiment tag plus a draft reply in an internal note before an agent opens it.