One neuro-prompt instead of a thousand keywords
Telegram Target Parser locates chats by AI prompt, Telegram Content Parser tracks them in real time. The output is a CSV with ID, username, phone, date, and message link.
- Who
- Affiliate team
- Industry
- Performance · CPA · Affiliate
- Setup
- 10 minutes per prompt
- Result
- 1 prompt · 200+ leads / week
1 prompt · 200+ leads / weekWhat they fought
«Telegram leads are hot — but hand-hunting them is hours of scroll, keyword filters miss half of it, and competitors chase the same base.»
How Telegram Content Parser solved it
Step 1. Neuro-prompt over keywords
Describe in words: «find chats discussing X, looking for Y, complaining about Z». AI expands that into dozens of semantic variations.
Step 2. Chat & channel discovery
Telegram Target Parser returns relevant open and closed sources, with activity and audience metrics.
Step 3. Real-time monitoring
Telegram Content Parser listens to those sources 24/7 and captures every message that hits your prompt.
Step 4. CSV export
ID, username, phone (if public), date, text, source link — straight into a CSV for CRM/Bitrix/AmoCRM.
Step 5. Enrichment and outreach
Use the contacts for calls, broadcasts, retargeting. Since the prompt is intent-based, it's already a segmented audience.
«Now the competition can only watch and smoke»
- 01
- 200+
- 02
- 24/7
- 03
- 1 CSV
weekly leads from one prompt
real-time monitoring
ready for CRM import
Read the original channel post
t.me/ru_tgcparser/84
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Read case studyLaunch autopilot in 5 minutes
Free start. Up to 5 channels with no limits. Support replies in Telegram within 15 minutes.
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