How to find customers on Telegram from messages
High-intent demand often already exists inside chats: people ask for prices, look for providers, compare options and request recommendations. The challenge is catching those messages before they get buried among everything else.
Connect relevant chats and comments, use keywords as a fast first pass and AI to verify meaning and intent. Keep the message, context, source link and available author data as the result.
1. Start with real demand, not a giant keyword list
Describe what a good customer request actually looks like: someone asking for a price, looking for a provider, comparing options or planning a purchase.
The same intent can be phrased many different ways, so this definition matters more than collecting every possible keyword.
- ✓ where these users usually write
- ✓ what they ask before buying
- ✓ which messages should always be excluded
2. Use keywords first, then AI
There is no need to send every message to AI. A fast keyword pass removes obvious noise, while AI checks the meaning and intent only of messages that pass the first step.
This keeps semantic filtering while reducing unnecessary model requests.
3. Keep context, not just text
A lead is useful only when it is easy to verify and act on. Keep the date, source, original message link and available author data together with the text.
In tgcparser X the workflow can stay active in real time and evaluate new messages automatically.
Quick answers
Can I search using keywords only?
Yes, but a keyword first pass combined with AI meaning verification is more precise for varied phrasing.
Can I search history as well as new messages?
Yes. You can select a historical period and then continue with new messages when needed.
Can the result include a link to the source message?
Yes, when the source and message type allow a direct link, it can be kept with the result.
Try tgcparser X for 24 hours
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Full functionality · 24 hours · 990 ₽ · no auto-renewal