Telegram Chat & Group Parsing — How to Build a Database

Parsing Telegram chats and groups is an effective way to find a target audience for business promotion, launching campaigns, and rapidly growing your own channels.

In this article, we will show you how to collect a Telegram chat database using GramGpt.io — an intelligent AI-powered parser.

Telegram GramGPT Combiner — The First AI-Powered Telegram Parser

We use Telegram GPT Combiner (GramGpt.io) — the first Telegram automation tool powered by artificial intelligence. This Telegram parser allows you to efficiently collect chat and channel databases for further audience engagement and marketing activities.

Adding Accounts to the Manager

Go to the “Account Manager” and add one or multiple accounts for operation. Then navigate to the “Data Parsing” section → “Parser Group” and assign your account to start working.

Setting Up the Telegram Chat Parser

Here you can use ready-made parsing templates or configure them manually. The Telegram parser by GramGpt offers flexible settings for various use cases.

Selecting Keywords for Chat Parsing

Choose keywords for parsing. For example: “crypto”, “cryptocurrency”. Artificial intelligence will suggest additional relevant keywords you can use.

Next — add keyword extensions. For example, you can configure it to search for “crypto news”, “2025”, “2026”, and other keyword variations.

This way, the Telegram group parser will iterate through: “crypto”, then “crypto news”, “crypto 2025”, “crypto 2026”, then “cryptocurrency news” and other variations to collect a large number of relevant chats.

Configuring Search Parameters

Next, select only active chats or all chats if needed. I usually set the result limit to maximum.

You can enable fast mode — delays will be ignored. However, to avoid account restrictions, I recommend setting at least minimal delays.

Then choose the participant range — for example, from 4,000 to 100,000 members.

Selecting Rating for Campaign Targeting

The higher the rating, the more active and higher quality the chat is, making it better suited for outreach and campaigns.

I usually select a rating starting from six, but you can test different values depending on your strategy.

Launching Telegram Parsing and Analyzing Results

After configuring everything, click “Start”. The search process begins. In the logs, you can see how the system performs the parsing.

The first relevant groups start appearing automatically in the results list.

You can open each group with a single click. You’ll notice they match the exact parameters you specified.

The Telegram chat parser may find many smaller groups, but those below your selected filters won’t be added to the final list.

We now have a base list of ten groups — all with 4,000+ members. You can open each group individually or export them as a TXT file. With one click, you get a complete list of all discovered Telegram chat links.

Advanced Export for Audience Collection

You can also click “Export” and choose any preferred format.

For example, select JSON.

You will then see much more detailed data:

Channel name
Channel link
Username
Number of subscribers
Chat language
Spam rating score
Description and additional metadata

Conclusion: How to Effectively Find an Audience on Telegram

Parsing Telegram channels with GramGpt is a powerful way to collect and analyze Telegram audiences.

By using the Telegram parser from GramGpt.io, you can efficiently build a high-quality chat database for your marketing goals and significantly expand your target audience reach.