Scraping Telegram channels, groups, and chats: top bots and solutions

Types of Telegram scrapers

There are different solutions available for scraping Telegram. Each scraper type fits specific tasks, data volumes, and the user’s technical skill level.

Cloud-based scraping services

A cloud scraper is a service that runs in a browser without installation. These tools allow you to start scraping Telegram quickly without complex setup.

Pros:

• simple launch;

• does not require a powerful device;

• automatic updates;

• often includes built-in Telegram bot features.

Cons:

• scraping volume limitations;

• dependence on the scraper server;

• often a paid subscription.

Cloud services are suitable for marketers who need to scrape Telegram channels and groups quickly without technical knowledge.

Desktop scraper apps

A desktop scraper is installed on a computer and provides more control over Telegram scraping. Such tools often support bulk scraping and flexible settings.

Pros:

• high scraping speed;

• working with large data volumes;

• flexible filtering.

Cons:

• requires setup;

• desktop load;

• sometimes a complex interface.

Such scrapers are often used by traffic and analytics specialists who need to scrape large volumes of Telegram data.

Telegram bot scrapers

A Telegram bot is a convenient tool that can perform scraping directly inside the messenger. Such a bot allows you to scrape audience data, messages, and activity without using third-party software.

Pros:

• fast launch;

• works directly inside Telegram;

• convenient interface.

Cons:

• limited functionality;

• dependence on the Telegram API.

Telegram bots are often used for quick database acquisition and testing out ideas.

Top Telegram scrapers and bots 

Below you’ll find popular solutions for scraping Telegram channels, chats, and groups.

1. A-Parser

One of the most technically advanced tools for professional scraping, it is a universal platform for automated data collection, parts of which are specifically designed for Telegram: collecting data on participants, messages, reactions, media, usernames, and bios.

The main value of this solution is precise process control. You can configure multithreading, proxy rotation, complex filters, and custom data processing logic.

At the same time, the platform requires time to implement and careful proxy selection and quality control. Without these, stable work with large data volumes is practically impossible.

2. Telemetr.me

Telemetr does not collect user data directly; it is a platform for analyzing channels and ad placements.

The service shows channel growth dynamics, audience engagement, ad placements, and general market trends. Some demographic metrics are based on models and indirect data rather than direct access to Telegram data, which is important to consider.

In practice, Telemetr is more often used by marketers, agencies, and affiliate teams who need not to collect an audience but to understand its quality.

3. Telegram Prime

Telegram Prime was originally created specifically for working with the Telegram ecosystem. It is usually used for collecting group and chat members data, exporting activity, working with reactions and views, as well as for subsequent automation of interactions with the acquired audience, for example, through invites or campaigns. The solution is built on cloud infrastructure, which allows processing large volumes of data faster than when working with single accounts or local tools.

Telegram Prime is most often used by teams working with large data flows: marketing agencies, projects with large ad placements, as well as niches with high competition for audience attention where the speed of database acquisition is critical.

At the same time, it is important to consider that stable work with this solution directly depends on account and proxy infrastructure. With aggressive request volumes or incorrect proxy rotation setup, the risk of Telegram restrictions is high.

4. OneDash

OneDash is a SaaS solution for working with Telegram audiences. It is easy to launch and convenient to use. The service covers basic Telegram marketing tasks: collecting available data, audience filtering, database export, and automation of individual interaction scenarios.

Compared to heavy infrastructure solutions, OneDash offers less deep customization options but offers easy implementation and a clear interface.

It is considered an optimal tool for smaller teams and SMM specialists.

5. CRMChat 

CRMChat is a browser extension for quickly collecting available data directly from the Telegram browser interface. It is built around the full lead workflow, from audience discovery and contact details collection to communication, conversation automation, and deal management within a single interface.

CRMChat is usually used as a lead generation tool through an ecosystem approach: it allows finding contacts and audiences inside Telegram communities and then immediately moving them into a CRM funnel and launching communication scenarios. This distinguishes it from classic scrapers, where data collection and further work are often separated across different tools. The service supports scalable campaigns and work through multiple Telegram accounts, which is critical for large communication volumes and reduces the risk of blocks.

CRMChat is most often chosen by teams that need not only database acquisition but also systematic work with it: lead distribution between managers, deal status control, communication automation, and storing interaction history in one place.

6. Telecobra

Telecobra is a mid-complexity scraper for automating work with Telegram data and audiences. It is used either as a desktop application or as a bot with advanced automation logic. It collects audiences from open sources, works with messages, launches campaigns, handles automatic replies and user interaction scenarios. Unlike enterprise-grade solutions, the tool generally does not require complex server infrastructure, which simplifies launch and operation.

Telecobra is a compromise between simple SaaS tools optimized for quick start and heavy custom systems. With moderate data volumes and correct proxy configuration, the solution can secure stable results. However, under high load, its stability may depend on the build version, infrastructure configuration, and the quality of accounts and proxies used.

Telecobra is most often used by small teams, marketing projects, and specialists who need a balance between functionality, price, and implementation complexity.

7. ParserTgChat_bot

ParserTgChat_bot is a Telegram bot for extracting available data quickly without deploying a separate software environment. It is used to collect data by keywords, analyze public chats and channels, and extract available participant lists. Its key advantage is the minimal entry threshold: the user does not need to install any software, configure servers, or perform any complex setup.

At the same time, the architecture of Telegram bots imposes scalability limitations. As data volumes grow, limits in processing speed, session stability, and resistance to the platform’s anti-spam restrictions become noticeable. Therefore, such tools are more often used for targeted tasks, pilot launches, hypothesis testing, or as an auxiliary data source.

8. TeleSpace

TeleSpace is a comprehensive platform for managing Telegram marketing and data; unlike more targeted solutions, such platforms cover the full audience workflow.

TeleSpace combines functions for data collection, audience segmentation, campaign launches, performance analytics, and marketing scenario management within a single platform. This reduces operational costs and simplifies process management, especially in large teams.

TeleSpace is most often used by agencies, media buying teams, and projects where several specialists simultaneously work with Telegram audiences. The platform allows teams to avoid relying on multiple separate tools and to manage data and processes centrally.

9. TeleSoft

TeleSoft is, in fact, a whole class of desktop solutions for local collection and primary processing of Telegram data. There are a large number of variations and builds under this name and similar brands on the market, which directly affects quality and usage safety.

The functionality of such tools is focused on contact collection, analysis of user activity, basic audience filtering, and data export. They are often used for local tasks or work with limited data volumes without the need to deploy complex infrastructure.

However, in this case it is especially important to pay attention to the software provider: how reliable it is, whether updates are released, and whether stable support exists. In corporate environments, such tools are rarely used precisely because of security and stability risks.

10. Telethon/Pyrogram

Telethon and Pyrogram are frameworks for working with Telegram via the API. They allow developers to create custom solutions for collecting, processing, and analyzing Telegram data.

The main advantage of this approach is its almost unlimited flexibility. It is possible to implement complex data workflows, integrations with external systems, automatic message processing, and scalable architectures.

However, flexibility also brings responsibility for infrastructure. The team must independently manage servers, proxy networks, accounts, and the logic for bypassing platform restrictions. This approach is more often chosen by projects with a long-term data strategy and an existing coding team.

Conclusion

Scraping Telegram today is an important tool for marketing, analytics, and business growth. With the right scraper or Telegram bot solution, it is possible to automate data collection, analyze audiences, and find new growth opportunities.

The choice of tool depends on the tasks. If you need a quick start, a Telegram bot is a good choice. If scale and flexibility are important, it is better to use a desktop scraper. If analytics is required, cloud-based services will deliver the best results.

The key is to use Telegram scraping systematically; only then does a scraper become a real growth tool.

FAQ

How to scrape Telegram channels?

Scraping Telegram channels is performed through specialized scraper tools, API libraries, or SaaS automation services. Technically, data collection is possible only from publicly available content: posts, views, reactions, links, and open channel metadata.

In practice, the process looks like this: the solution connects to Telegram using the API or a client session, after which it sequentially exports available publications and their related activity metrics. History depth depends on the solution used, API limits, and account infrastructure.

How to scrape Telegram channel subscribers?

Obtaining a full list of channel subscribers directly is impossible: this is a limitation of Telegram architecture. Even channel owners do not have access to the full audience list.

In practice, indirect methods are often used:

• analysis of audience overlap via chats and comments;

• analysis of active users interacting with content;

• working with public groups linked to channels;

• analytics services that estimate audiences using models and aggregated data.

How to scrape Telegram chats?

Scraping Telegram chats is performed through specialized scraper tools, API libraries, or bots that collect messages, user data, and activity metrics.

Scaling capabilities here directly depend on the chat type:

• in public chats, messages, participant data, and activity can be collected;

• in private chats, data collection is possible only if the account is already a participant;

• some data may still be hidden by user privacy settings.

Stable operation with large data volumes requires a well-designed proxy infrastructure and proper load distribution between accounts.

How to scrape Telegram groups?

Scraping Telegram groups is performed through scrapers, API solutions, or Telegram bots that collect participant data, messages, and group activity metrics.

Groups are the most convenient data source to scrape on Telegram because:

• the participant list is often partially available;

• user activity can be analyzed;

• message history can be collected;

• it is easier to filter by activity and keywords.

At the same time, as in other cases, access to data can be limited by privacy settings and Telegram’s anti-spam mechanisms.