Message monitoring
Collect historical and new messages from selected chats and channels.
Telegram analytics
Analyze messages, topics and activity across Telegram
tgcparser collects available data from chats and channels, structures it and helps track topics, mentions and public user activity over time.
Chats and channelsMention monitoringChatGPT analysis
tgcparser
Chats and channels
01 — problem
Telegram contains many signals but little structure
Messages disappear quickly, discussions are scattered across sources and manual analysis provides only a fragmented view. Automated collection turns message streams into analysis-ready data.
Mentions and topics
Track brands, products, competitors and configured keywords.
User activity
Analyze available public activity and interaction sources.
Data filtering
Segment results by date, source, keyword, exclusion and other parameters.
ChatGPT analysis
Classify messages, identify topics, sentiment and key insights.
Reports and exports
Publish results to Telegram and MAX, or save data as TXT and CSV.
02 — process
How Telegram analytics works
01
Choose sources
Add chats and channels you want to research.
02
Define metrics
Set topics, keywords, periods and grouping rules.
03
Collect data
tgcparser processes history and continues monitoring new messages.
04
Use the insights
Deliver reports through Telegram, MAX, TXT and CSV for further analysis.
03 — interface
Data and settings are available in Telegram
Source monitoring, filters and results are managed through the bot without a complex analytics platform.
01
Data collection
Historical and new messages from selected sources
02
Analysis setup
Topics, keywords, exclusions and periods
03
Structured output
Reports, publishing and saved data
04 — use cases
Common use cases
01Brand mention monitoring
02Competitor discussion analysis
03Demand and customer pain research
04Industry news monitoring
05Channel content analysis
06Preparing data for external BI tools
Need raw messages and participants?
The Telegram chat parser explains history collection, new-message monitoring and available user data in detail.
FAQ
Telegram analytics FAQ
Which sources can be analyzed?+
Public and accessible private Telegram chats and channels available to the connected account.
Can it analyze older messages?+
Yes. Select a date range and collect available history.
Can it monitor new mentions?+
Yes. After setup, the system can monitor new messages in real time.
Which ChatGPT analysis types are supported?+
Topic classification, summaries, entity extraction, sentiment analysis and custom prompt-based processing.
Can data be used in external analytics?+
Yes. Results can be saved as TXT and CSV for further processing.
Where can reports be delivered?+
Results can be published to Telegram channels, Telegram chats and MAX, and also saved to a computer.
Turn Telegram streams into structured data
Configure sources and metrics, then let tgcparser collect and prepare information for analysis automatically.
Try in Telegram