This n8n workflow streamlines the process of capturing, parsing, searching, deduplicating, and storing leads from Telegram messages, both voice and text. It is ideal for growth hackers, SDR teams, and founders seeking a hands-free solution for lead generation. The workflow begins by triggering on Telegram messages, utilizing OpenAI’s Whisper and GPT models to transcribe and interpret voice or text inputs. It then constructs a search URL for Apollo.io, scraping up to 500 contacts, filtering only verified emails, and comparing against existing leads stored in a database to avoid duplicates. New, verified leads are then added to a Supabase (or alternative) database, and a notification is sent via Telegram confirming the number of leads added, all with minimal manual intervention.
Automated Lead Collection from Telegram Voice and Text Messages
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @apify/n8n-nodes-apify.apify, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.outputParserStructured, code, compareDatasets, filter, limit, noOp, postgres, set, stickyNote, supabase, switch, telegram, telegramTrigger |
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