Telegram User Parser — How to Collect Audience from Competitor Chats

Collecting a Telegram audience from competitor chats is an effective way to quickly find targeted users for messaging campaigns and promoting your project.

In this article, we will show how to parse Telegram users from public chats using GramGPT.io with filters and database export.

Setting Up a Telegram User Parser for Chats

Go to the GramGPT.io Telegram software dashboard. In the account manager, you need to add your account — simply enter your phone number and confirmation code, or import accounts via data and session.

After adding the account, go to “Parsing” → “User Parsing”. It is important to note that this parsing system works only for chats where the member list is public. If users are hidden and only administrators are visible, only they will be parsed.

If you need to parse chats where users are hidden but actively sending messages, this is also possible via the Message Parser.

Add accounts for parsing. In most cases, one account is enough.

Next, insert the link to the Telegram chat from which you want to extract users. You can add multiple chats.

Filters for Parsing Telegram Users from Chats

Next, depending on your goals, configure the filters — both basic and profile-based:

• Skip bots
• Skip deleted accounts
• Skip blocked / scam accounts
• Only active users
• Only with username
• Only with profile photo
• Only Premium users

If you are parsing a chat with hundreds of thousands of users, I recommend enabling AI protection to reduce the risk of account restrictions during the process.

Starting the Parsing Process and Exporting Results

After completing all settings, click “Start” and wait while the software parses all the users you need.

Once finished, scroll down to see the full list of parsed users. You can copy their profile links into a text file or export the database in any convenient format.

Conclusion

The Telegram user parser from GramGPT.io allows you to quickly collect a targeted audience from public chats with flexible activity and profile-based filters.

In this article, we covered adding accounts, configuring basic and profile filters, launching the parsing process, and exporting a ready-to-use Telegram user database.