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.
A recruiting agency owner uses Claude to find leads; a commenter uses it to clean messy data and draft personalized outreach that gets replies.
A recruiting agency owner uses Claude to find leads; a commenter uses it to clean messy data and draft personalized outreach that gets replies.
The poster wired Claude to MCP connections for Crustdata, FullEnrich, Lemlist, HubSpot, and GitHub, then gave it plain-English criteria like US companies with 100–500 employees, 15+ recent openings, fresh funding, and a recruiting manager to contact. Claude pulled company and hiring signals, found and verified contacts, assembled hiring and news briefs, and drafted outreach angles; in comments, another recruiter said they use Claude to clean rough lists, enrich and organize them into sheets/CRMs, and polish personalized messages before sending.
The source says it saved the poster time and commenters said personalized Claude-assisted outreach gets replies, but it gives no hard performance numbers. Commenters also warned the signals can be late or noisy, so the workflow may find companies already in-market rather than those about to hire.
One commenter’s main practical tip was to pay for Claude Pro so usage limits do not interrupt the workflow.
I run a recruiting agency placing [type of role] in [industry/region]. Clean up my messy contact list at [path/to/file] by fixing names, removing duplicates, and standardizing company and title fields. Then draft a short, personalized outreach message for each [candidate/client] based on their details, and save the cleaned file and drafts without sending anything.
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.