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Founder of an education consultancy · HR / Education · 1 day

Structured Contact Database from a Telegram Chat in 15 Minutes

AI processing of 1115 messages from a 7000+ member HR chat – ready-made table for outreach

761
Contacts extracted
15 min
Instead of ~5 hours manually
7
Fields per contact

Problem

A professional HR community in Telegram – 7000+ members. Hundreds of people posted introductions: who they are, where they work, what they do. The client needed these contacts for outreach, but extracting them manually from a stream of free-text messages meant hours of tedious copy-paste work – with inevitable duplicates and gaps.

Solution

AI-powered processing of the chat export:

  • Export chat history from Telegram as JSON
  • AI extraction – each message analyzed for name, position, company, city, and profile link
  • Filtering – automatic removal of non-relevant messages (chat rules, ads, questions without introductions)
  • Ready-made CSV – one-click import into Google Sheets or any CRM

Result

  • 761 verified contacts from 1115 messages
  • 7 fields: name, position, company, city, username, date, link
  • 15 minutes instead of ~5 hours of manual work
  • CSV ready for import into any CRM

Technologies

PythonClaude APICSV

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