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.
Multi-agent n8n workflow finds company URLs, scrapes prospect websites and summarizes opportunities that sales teams can use to tailor outreach.
Multi-agent n8n workflow finds company URLs, scrapes prospect websites and summarizes opportunities that sales teams can use to tailor outreach.
A chat trigger starts an n8n workflow. A first agent on o4-mini picks relevant company URLs. Bright Data's Web Unblocker node fetches each page's HTML, and a Code node cleans it. Other agents on gpt-5 summarize page by page, a Merge node combines the summaries, and a final prompt synthesizes the opportunities.
It produces a list of business opportunities per prospect site for tailoring outreach. The source gives no numbers or accuracy results. A single all-in-one prompt gave irrelevant, poorly synthesized output.
Split the work into separate prompts (URL extraction, per-page summary, final synthesis) and use a cheaper model for URL filtering. A single prompt performed poorly.
Build an n8n workflow that takes a list of [industry or search terms] and finds company website URLs, scrapes each homepage and about page, and has an AI step summarize what the company does and 2-3 opportunities where [my product or service] could help. Save each result as a row in a Google Sheet with the company, URL, summary and a suggested outreach angle. Stop after one test run of [5] companies and show me the sheet; do not send any outreach.
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.