Monster-Lead
Comment parsing in Telegram channels
Telegram comment parsing — find leads under channel posts. People already read the content and wrote themselves: dialog conversion is higher than from cold chats. Add channels in Radar, set comment keywords — leads land in CRM with post context.
Telegram comment parsing is a public Monster-Lead Telegram module. It connects to Radar, Terminal, CRM and the rest of the platform.
How to use: open Telegram comment parsing in the Monster-Lead cabinet after signup, connect a session in Terminal and a proxy if needed. The module ties into Lead CRM so leads and chats are not lost in DMs.
Who it is for: media buyers, agencies and sales teams that need Telegram lead gen and automation without scattered scripts. Free includes a 14-day starting path.
Start free
14 days on Free: connect a session, set Radar keys, catch intent in Telegram chats. Support channel: t.me/monsterlead.
Lead search in Telegram comments — not cold chats
Under a popular post there are hundreds of comments. Manually scrolling and copying usernames does not scale. The system scans discussions, applies keyword filters and stores the post + comment text. Managers write with context, not a generic hello.
Comment keywords in Radar + multi-channel
Add intent phrases: «looking for course», «budget», «need mentor». Radar watches discussions under posts. Dozens of competitor channels in parallel — one feed and CRM. Telegram keyword monitoring without manual scrolling.
Full context in the lead card
Channel, post excerpt, comment text, @username, links. Source «Comments». TG Replies can ping managers on hot comments.
Comment feed in cabinet
Live feed: author, keyword tag, channel, time. Click — full card with links.
Radar integration
Comment-type keywords in Radar. One setup for chats and comments.
Channel Checker first
Verify channels have open comments before monitoring — no wasted sessions.
CRM + TG Replies
Lead in CRM with source Comments. Optional Telegram ping via TG Replies template.
200 comments under a post — manual hell
Manager scrolls, copies usernames, loses context. By comment #50 the lead already wrote to a competitor.
No post context in CRM
Only @username without knowing which post or what they wrote — generic outreach fails.
Competitors ignore comments
Teams focus on chats only. Comments under niche leader posts are an open lead-generation channel.
Auto-collection 24/7
New posts scanned, matching comments become leads — no manual Telegram channel monitoring.
Keyword filter in comment text
Only comments with your intent triggers: price, course, exchange, job — no noise.
FAQ
What is Telegram comment parsing?
Auto-collecting people who comment under channel posts by keywords — with post, text and links saved to CRM.
How is this different from neuro-commenting?
Neuro-commenting posts AI comments. Comments module collects people who already wrote — inbound leads.
Do I need Radar?
Yes. Add channels and comment keywords in Radar. Leads appear in Comments feed and CRM.
What if comments are closed?
Channel Checker shows channels without discussions. Do not monitor them — zero leads.
How to choose channels?
Priority: competitors → news → expert → communities → blogs. Start with open comments.
Which words work better?
Intent phrases: «looking for», «need», «recommend», «where to buy» — not lone «rate» or «price».
Can I monitor competitors?
Yes. Under competitor posts people often look for alternatives — a strong signal.
Can I search 500 channels at once?
Scale depends on plan and sessions. Start with dozens of verified channels, then expand.
What is Telegram comment parsing?
Collect leads from comments under Telegram channel posts. Keyword filters and CRM export.
How do I open Telegram comment parsing in Monster-Lead?
Module page: /en/tools/parsing-kommentariev-telegram. Full catalog is /en/tools, pricing is /en/pricing, articles are /en/news.
Start free
14 days on Free: connect a session, set Radar keys, catch intent in Telegram chats. Support channel: t.me/monsterlead.