Exporting Telegram Data to Excel or BI Tools

[fatimahislam]

In 2025, Telegram remains a powerful platform not only for communication but also as a valuable source of data for businesses, marketers, and analysts. Exporting Telegram data—whether from chats, channels, or bots—into Excel or Business Intelligence (BI) tools can unlock deep insights, helping you understand user behavior, measure engagement, and drive better decisions. Here’s a practical guide on how to export Telegram data and integrate it into Excel or BI platforms effectively.

1. Understanding What Data You Can Export
Telegram allows users and admins to telegram data export chat histories, media files, and channel or group data via the Telegram Desktop app’s built-in Export tool. This export includes message content, timestamps, sender info, and files, typically saved in JSON or HTML formats. For bots, data like user interactions and commands are accessible via the Bot API, which developers can log and export.

2. Using Telegram Desktop’s Export Feature
To export chat or channel data from Telegram Desktop:

Open Telegram Desktop and go to Settings > Advanced > Export Telegram Data.

Select the type of data you want (chats, groups, channels, media, etc.).

Choose the export format — JSON is ideal for structured data processing.

Start the export and wait for the process to finish. You’ll get a folder containing all exported files.

This method is straightforward but is best suited for small to medium-sized datasets, as very large exports might be cumbersome.

3. Converting Exported Data to Excel
Telegram exports in JSON or HTML need conversion to Excel-friendly formats like CSV or XLSX for analysis:

Use tools like Excel Power Query, Python scripts (pandas library), or online JSON-to-CSV converters.

Power Query in Excel allows you to import JSON files directly, transform the data, and load it into Excel sheets with minimal coding.

For more control, Python scripts can parse JSON exports, extract relevant fields (timestamps, usernames, messages), and save them as Excel files.

4. Integrating Telegram Data into BI Tools
Business Intelligence tools like Microsoft Power BI, Tableau, or Google Data Studio can ingest Telegram data for advanced visualization:

Use Power BI’s Get Data feature to connect directly to JSON files or Excel exports.

Automate data refreshes by setting up workflows that extract new Telegram data periodically using APIs or scheduled exports.

For bot-generated data, build custom integrations where your bot backend pushes interaction logs to cloud databases (e.g., Google BigQuery, AWS Redshift), which BI tools can query.

5. Using Telegram Bot API for Real-Time Data
If you want dynamic, real-time data instead of periodic exports, leverage the Telegram Bot API:

Log every user interaction and message received by the bot in a database.

Extract and transform this data regularly into Excel or BI-compatible formats.

This approach enables detailed tracking of engagement metrics, funnel analysis, and user segmentation.

6. Ensuring Data Privacy and Compliance
When exporting and handling Telegram data, especially from users or communities, prioritize privacy:

Anonymize personal information when possible.

Comply with privacy laws such as GDPR or CCPA.

Secure exported data with encryption and access controls.

Conclusion

Exporting Telegram data into Excel or BI tools in 2025 unlocks powerful insights for businesses and creators. Whether you use Telegram Desktop’s export feature, Bot API logs, or custom integrations, transforming this data into actionable analytics helps you optimize communication strategies and grow your audience. By combining Telegram’s rich data with the analytical power of Excel and BI platforms, you can make smarter, data-driven decisions with ease.