Active Chat Users Parser in Deskgram 2 helps you collect users who already write in Telegram chats. This module is useful when live discussion matters more than broad membership and you want a base built around real chat activity.
Deskgram 2 Hub · Website · Telegram Bot · Web Preview
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| Parameter | What is inside |
|---|---|
| Main task | Collect users who actively write in Telegram chats |
| Key blocks | Chat list, filters, statistics, logs, results |
| Useful for | Live-discussion niches, warm audience preparation, outreach |
| Natural next steps | Direct Messaging, Invite Tool, segmentation |
| Related parser route | Comment Audience Parser |
- collect users from active Telegram chat discussions;
- work with selected chat sources instead of broad random collection;
- filter and structure the result;
- show execution progress and logs;
- prepare a practical base for messaging and growth workflows.
- Select chats where the audience is actively discussing the topic.
- Add those chats to the module.
- Configure limits and filters.
- Launch the task and review the collected base.
- Use the result for communication, invite, or segmentation.
- Direct Messaging if the active base is moving into one-to-one contact.
- Invite Tool if those users should help grow groups or channels.
- Audience Parser if you also need a broader collection route.
- Comment Audience Parser if you want to combine chat activity with comment activity.
- Task Manager if you need the full chain visible in one control layer.
You begin with chats where live discussion already reflects the topic well. Chat quality matters because it shapes how relevant the base becomes.
Filters help reduce noise and keep the final audience more practical for the next workflow.
The collected base can move into direct outreach, invite scenarios, or further segmentation depending on the goal.
- when the niche is discussion-heavy and chat activity matters;
- when you want users who already participate, not just passive members;
- when response quality matters more than the widest possible base;
- when the funnel starts from live community behavior.
| Broad collection | Active Chat Users Parser in Deskgram 2 |
|---|---|
| Engagement signals are weaker | Writing in chats shows real activity |
| It is harder to understand conversation context | Chat participation gives clearer behavioral clues |
| The base can become too broad | Source chats make targeting more focused |
| Later outreach can be less precise | The result is stronger for discussion-driven funnels |
| If your goal is | Better fit |
|---|---|
| Collect users active in live chats | Active Chat Users Parser |
| Collect users active under channel posts | Comment Audience Parser |
| Build the warmest multi-signal base | Combine both collection routes |
| Focus on discussion-heavy niches and communities | Active Chat Users Parser |
When the main signal is live discussion inside chats, not just membership or post-level comments.
Usually into Direct Messaging, Invite Tool, or a segmented follow-up workflow.
The quality of the source chats, the level of real activity inside them, and how clearly you know the next step after collection.
- Deskgram 2 Hub
- Audience Parser
- Comment Audience Parser
- Direct Messaging
- Invite Tool
- Account Manager
- Task Manager
Yes. It is especially useful when live chat behavior is the strongest signal.
Yes. Using both routes usually creates a stronger warm audience layer.