Collecting Active Chat Participants with Deskgram 2

Many useful Telegram chats hide their member lists. The Active Chat Users Parser solves this by collecting people who actually write messages and participate in discussion instead of returning inactive members or anti-spam bots.

How the module is organized

• The left panel contains the donor chat list and execution logs.
• The right panel contains Main, Filters, and Export settings.

Step-by-step setup

1. Prepare donor chats

Load chats with steady real discussion. Active communities provide more useful audience data than large but silent groups.

2. Select a collection mode

In Main, choose how activity is detected:

• By message count: examine the latest N messages and collect their authors.
• By time period: collect users who wrote during a selected interval.
• By keywords: collect only participants whose messages contain selected terms.

Additional controls include chats per account, basic bot protection, and leaving donor chats after collection.

3. Filter the audience

Use Filters to improve relevance: keep profiles with photos, Premium, or active Stories when those attributes matter for your analysis or consent-based outreach.

4. Export the result

Choose the fields needed for later analysis, such as usernames, names, IDs, phone values where available, and Premium status. Collecting the useful fields now makes later segmentation easier.

Where this module fits

Unlike a general member parser, this module focuses on people who actively participate in discussions. The result is useful for community analysis, segment research, and permitted follow-up flows.

See also the basic audience parser guide.