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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