Manually collecting links to Telegram channels and chats takes hours. Buying a ready-made list also often ends in disappointment: some links no longer work, others lead to abandoned communities, and the list itself has already been used by dozens of buyers. Time and budget have been spent, but there is still no suitable selection for work.
If you search for communities using the same general queries every time, the results quickly burn out: overlaps increase, the audience responds worse to repeated offers, and effectiveness declines. For work, you need a fresh selection for a specific task — with the right topic, language, audience size, and open comments.
GramGPT.io provides access to more than 2 million Telegram channels and chats. Links are checked for availability, and communities can be filtered by topic, language, type, and other parameters. Below, we will explain how the Telegram parser works, what collection methods are available, and which option to choose for your task.
What a Telegram Channel and Chat Parser Is and Why It Is Needed
A Telegram channel and chat parser is a tool that helps find and collect links to the required Telegram communities — channels, chats, and groups — according to specified parameters. Instead of a random set, we get a ready-made selection filtered by topic, language, activity, audience size, open comments, and other criteria.
Such a Telegram parser is used to find thematic communities and collect an audience before further work through other Telegram promotion tools. For example, you can find American crypto channels with open comments, Russian-language fitness communities, or chats in other languages.
The main thing here is not the number of links by itself. Building a Telegram database starts with criteria. We need platforms that:
- work and open via the link;
- belong to the required topic;
- match the required language and assumed audience geography;
- have a suitable number of subscribers or members;
- allow comments or messages if this is important for the task;
- do not duplicate lists that have already been collected and used.
At the same time, the channel language does not always indicate which country its audience comes from. For example, an English-language project may be aimed not only at the USA. Therefore, a good Telegram channel parser should not simply export links, but help filter platforms using the required criteria, save collection history, and regularly update the results.
Two Main Mistakes When Building a Telegram Database
Before launching Telegram parsing, it is useful to understand why a selection quickly loses value. Most often, the problem is not the number of results, but the source of the list and an overly templated approach.
Mistake 1. Buying Ready-Made Databases and Not Checking Relevance
Buying ready-made databases on third-party sites looks like a quick solution, but in practice it is one of the weakest options. The same database may already have been bought by hundreds of people, and it may have been collected several years ago. During that time, some communities have closed, links have stopped working, and administrators have enabled restrictions.
As a result, we pay for a list that has already been used many times and has gradually lost its relevance and value.
It is better to build a fresh selection according to your own criteria: change parameters, exclude previously used results, and avoid overlapping with the same lists every time.
Mistake 2. Limiting Yourself to One Query in GramGPT.io Telegram Search
Telegram search allows you to quickly find hundreds and thousands of communities — it is a working tool. The problem begins when everything is built too mechanically: many people enter something like “crypto”, get the obvious results, and save the same options that other users find.
For the first few days, such a list may produce results, but then it quickly burns out: overlaps increase, the same channels appear in different lists, and effectiveness declines.
Therefore, it is better to broaden the approach:
- use different keyword combinations;
- search for similar channels;
- regularly launch new Telegram channel parsing.
This way, the list is gradually supplemented with new options and is not limited to the results of a single query.
How to Build a Database of Channels and Chats in Telegram Combine GramGPT.io
To avoid collecting everything manually and depending on the same queries, Telegram Combine offers three methods: a ready-made verified database, similar channels, and Telegram parsing of channels, groups, and chats by keywords.
Option 1. Collecting Channels from a Ready-Made Verified Database
The fastest and easiest method is to use the Telegram channel and chat parser based on the ready-made verified GramGPT database. It contains more than 2 million channels and chats: links are checked for availability, while results can be filtered by topic, language, type, availability of comments, and other parameters.
Set the conditions and receive a suitable selection within seconds. This fast Telegram parsing is convenient when there is a budget, an accurate list is needed for a quick start, and there is no time to collect it manually.
Suppose we need Russian-language channels about health and fitness with open comments and an audience of at least 1,000 subscribers.
Configure the filters in order:
- select the “health and fitness” topic;
- specify the Russian language;
- enable open comments;
- set a minimum threshold of 1,000 subscribers;
- if necessary, add a word that must appear in the name or description;
- exclude results from previous collections;
- specify the required number and launch the search.
If 500 results are available under the specified conditions, we receive all 500. If fewer are found, the available number is exported and a smaller volume is charged. In our case, 500 channels cost only 1 dollar — this is the price of a fresh and relevant selection collected according to the specified parameters.
After export, it is worth manually opening several communities and checking the quality: whether publications are being posted, whether there are views, whether comments are open, and whether people are communicating. This takes only a few minutes but immediately shows how accurately the filters matched the task.
Using the same approach, you can collect, for example, an English-language crypto selection with open comments and an audience of at least 1,000 subscribers.
If the available options run out, click “Load more” and receive the next batch under the same conditions.
Option 2. Similar Channel Parser: How to Find Many Telegram Channels
The second method is a conditionally free Telegram parser for similar channels. It is suitable when you already have one or several appropriate starting platforms and are ready to spend a little more time gradually expanding the list without paying for each individual channel.
The logic is simple: in the “Search Parser”, select the “Similar Telegram Channels” section and add a link to a suitable channel as the source.
Such Telegram channel parsing starts with one initial link, after which we set the required filters:
- the required language, for example English;
- active channels only;
- open comments only;
- the ability to comment without having to join the chat;
- at least 1,000 subscribers;
- launch the search.
Similar channel search works through Telegram recommendations: after joining a channel, the “Similar Channels” section becomes available at the bottom.
Important: Telegram Premium significantly expands the results. A regular account shows up to 10 recommendations, while Premium shows up to 100. Therefore, a Premium account provides a much broader starting list for further collection.
After the first launch, copy the results and use them as new starting points. Remove the original @channel and repeat the cycle. Each new run can add related communities, so the list gradually expands and Telegram channel parsing is not limited to a single launch.
In this mode, the TG parser works by subscription — $10 per month: you pay for the tool itself, after which you can add accounts and launch independent collections without separate payment for each channel found.
Option 3. Parsing Telegram Channels, Chats, and Groups from Search
Here we will examine two search methods: separately for channels and separately for chats and groups.
Searching Telegram Channels by Keywords
The third method is Telegram search by keywords. It is suitable if there is no starting channel for similar recommendations or if you need to independently cover a new topic. The Telegram channel parser helps find communities for the required niche and gradually build your own selection.
For example, for the crypto niche, generate several keywords using an AI prompt and supplement them with the ending “news”.
Instead of one word “crypto”, we get several combinations, for example:
- “crypto news”;
- “cryptocurrency news”;
- other closely related queries on the topic.
Each combination is sent to Telegram search and produces its own part of the results.
The language of the keywords and the language in the settings must match:
- for Russian-language channels, use queries in Russian;
- for English-language channels, use keywords in English and select the same language in the filters.
This way, the Telegram channel and chat parser allows you to automate community collection for different topics, languages, and niches without being limited to one familiar query.
Searching Telegram Chats and Groups by Keywords
If you specifically need group communities, go to a separate tab.
The Telegram chat parser works on a similar principle:
- set the language;
- select the topic in the AI prompt;
- specify activity in the filters;
- set the minimum number of members;
- add thematic keywords.
After launch, the Telegram group parser finds suitable communities, and the results can be checked and saved.
The main difference from channels is that Telegram has no search for similar chats. Therefore, the main method for independent collection is the Telegram chat parser by keywords in GramGPT. Such Telegram chat parsing helps find thematic groups where members communicate with one another and where you can interact with the audience.
Parsing History and Exporting Results
All launches are saved in the parsing history. You can return to a specific collection, open its results, and retrieve the required data again.
The history provides copying of the entire list and export in the available format. A newly completed launch is displayed separately, so it is convenient to immediately check it and pass it on for further work.
Saved lists help avoid duplicates. During a new collection from the verified database, you can exclude previous exports and receive new options instead of already used ones.
Which Telegram Database Collection Method to Choose
Everything here depends on the budget, time, and the type of selection you need to obtain. For convenience, let us compare the three main methods:
| Method | When It Fits | What to Consider |
|---|---|---|
| Ready-made verified database | You need an accurate selection of channels or chats as quickly as possible. | The fastest option, but the links found are paid for separately. |
| Similar channel parser | You already have suitable sources and need to gradually expand the list. | Requires more time. There is no need to pay separately for each channel found, while Telegram Premium expands the recommendations. |
| Keyword search | You need to independently collect channels, chats, or groups for a new topic, language, or niche. | The result depends on the queries and filters. For chats and groups, this is the main method of independent search. |
In practice, the approaches can be combined: start with the ready-made database, expand the results through similar channels, and then add new communities through keyword search. This way, the selection does not depend on one source and remains relevant for longer.
Conclusion: How to Keep the Database Up to Date
Use the collection method that best suits your task, budget, and time. With proper configuration, the Telegram channel and chat parser significantly simplifies the work and helps regularly obtain up-to-date data.
GramGPT.io combines the main search methods in one service: AI-based tools and different parsing scenarios help quickly find new channels, chats, and groups, filter them by the required parameters, and save the results for further promotion and automation.