Telegram Channel Comment Scraper: Extracting Real-Time Leads & AI Sentiment Filtering

Why Channel Commenters Are Gold Leads

Unlike dormant members sitting quietly in dead group rosters, channel commenters are:

1. Actively Engaged: Opening the app and participating in niche discussions daily.
2. High-Intent Buyers: Asking pricing questions, complaining about competitors, and seeking recommendations.
3. 100% Public Data: Reading discussion threads emits zero spam flags and carries zero risk for your scraping accounts.

AI Sentiment Filtering Pipeline

[Scraped Raw Comments] ──> [NLP Embedding Classifier] ──> [Intent Classification]
                                                               ├── Commercial Intent (High Priority)
                                                               ├── Competitor Dissatisfaction (High Priority)
                                                               ├── General Discussion (Medium Priority)
                                                               └── Spam / Bot Noise (Auto-Discard)

Step-by-Step Implementation with Telegram Geeks

1. Provide target competitor channel URLs or usernames.
2. Configure active keyword triggers (e.g. "price", "how to buy", "alternative", "dm me").
3. Telegram Geeks extracts the author user_id, username, exact comment text, and timestamp.
4. Auto-export qualified prospects directly into active Mass DM or Persona Warmup campaigns.