Real-time and history
Track new messages as they appear or collect history for a selected period.
Telegram chat parser · tgcparser X
Collect messages, leads and audiences from Telegram chats
tgcparser X combines real-time monitoring and history, lead discovery, audience collection and AI filtering in independent projects without manually reading hundreds of chats.
Real-time + historyTelegram + MAX + CSV/TXTKeywords → AI
tgcparser
Workflows: message search, AI monitoring and audiences
01 — problem
When valuable messages disappear in the feed
Busy Telegram chats generate thousands of messages every day. Manually searching for requests, contacts and useful content takes hours and leads to missed opportunities.
Audience collection
Collect available participant data or active message authors for a specific workflow.
Lead discovery
Find messages that express purchase intent, pricing questions, service needs or active search.
Keywords → AI
Run a fast keyword pass first, then send only matching candidates to AI for semantic validation.
Multiple projects
Separate lead discovery, monitoring, content and other jobs into independent projects with their own settings.
Publishing and export
Deliver results to Telegram and MAX or save structured data to TXT/CSV.
02 — process
How Telegram chat parsing works in tgcparser X
01
Add sources
Provide accessible chats, channels and topics to monitor.
02
Choose a workflow
Lead discovery, AI monitoring, AI content, AI summaries, AI analysis or audience collection.
03
Configure filtering
Set the period, keywords, exclusions and AI filtering. Keywords and AI can work as a cascade.
04
Get results
Send matching data to Telegram/MAX or save it to TXT/CSV for further work.
03 — interface
Control tgcparser X directly inside Telegram
The current tgcparser X interface below shows publication filtering, projects and accounts, plus AI content processing.
01
Publication filtering
Keywords and AI filtering are enabled at the same time
02
Projects and accounts
The selected project, multiple projects and connected Telegram/MAX accounts
03
AI content processing
Adaptation, headlines, CTA, style and custom prompts directly in Telegram
04 — use cases
Common use cases
01Finding requests and potential customers
02Monitoring new messages and mentions
03Collecting audiences by activity and messages
04Saving Telegram history
05AI filtering and classification
06Preparing data for analytics and sales
FAQ
Telegram chat parsing FAQ
Can it collect messages from private chats?+
Yes, when the connected Telegram account already has access to the chat.
Does it only work with new messages?+
No. You can use real-time monitoring or collect history for a selected period.
Can keywords and AI work together?+
Yes. tgcparser X can run a fast keyword pass first and send only matching candidates to AI for semantic validation.
Can several jobs run at the same time?+
Yes. Independent projects can use their own sources, destinations, filters and settings.
What can be exported?+
Message text, date and time, author, username, links, source data and other available fields can be saved to TXT and CSV.
Do I need programming skills?+
No. Core management is handled through the Telegram control bot.
Configure the workflow once — let tgcparser X handle the stream
Create a project, connect sources and define filtering. tgcparser X then collects, validates and delivers the result automatically.
Try for 24 hours