How to Scrape Telegram Comments and Find Hot Leads
In 2026, scraping generic member lists yields diminishing returns: up to 70% of subscribers are inactive lurkers or dead bots. Commenters under channel posts represent the engaged core who actively ask questions, discuss pricing, and seek solutions right now.
1. Why commenters convert 3x better than channel members
In a 50,000-subscriber channel, only 1–3% actively comment. That small core drives the buying decisions. When someone asks 'How much does this cost?' or 'Does anyone have a good alternative?', their purchase intent is incomparably higher than that of silent readers.
2. How comments scraping works in TGParse
Every Telegram channel with comments enabled has an associated discussion group. TGParse automatically identifies this linked group, inspects your chosen number of recent posts (e.g., 20–50 posts), and extracts all commenting users with their handles, names, and original comments.
3. AI filtering: separating real buyers from noise
Popular comment threads often attract bots, stickers, and off-topic chat. Using TGParse's semantic AI filter, you can set a plain-English instruction: 'Keep only users who ask about pricing, vendor recommendations, or complain about existing tools'. AI discards irrelevant chatter without burning unused checks.
4. Reaching out safely without bans
The biggest mistake in cold outreach is sending generic pitches. Instead, leverage context: 'Hey! Saw your comment about [Topic] under the post in [Channel]...'. Reply rates for this approach routinely exceed 35–45%. Furthermore, sending via TGParse's warmed-up pool protects your personal Telegram profile from restrictions.
Pre-launch checklist
The takeaway
Comments scraping is the fastest pipeline to prospects with proven commercial intent. You gain not just an email or handle, but an immediate conversation starter. Try scraping your first Telegram commenters with TGParse for free.