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Data Export

Data Export allows you to extract your Telegram Analytics data for use in external tools, custom analyses, or long-term storage.

Overview​

While the Telegram Analytics platform provides comprehensive built-in analysis tools, you may want to:

  • Perform custom analyses in specialized tools
  • Combine Telegram data with data from other platforms
  • Create custom visualizations
  • Archive historical data
  • Integrate with your own business intelligence systems

Export Methods​

Manual Export​

From the Dashboard​

  1. Navigate to Data > Export
  2. Select the data you want to export:
    • Channels to include
    • Date range
    • Data categories (subscribers, posts, engagement)
    • Granularity (hourly, daily, weekly, monthly)
  3. Choose your export format
  4. Click "Generate Export"
  5. Download the file when processing is complete

From Reports​

Any custom report can be exported directly:

  1. Open the report you want to export
  2. Click the "Export" button in the top right
  3. Select your preferred format
  4. Download the file

Automated Export​

Scheduled Exports​

Set up recurring exports to be generated automatically:

  1. Navigate to Data > Scheduled Exports
  2. Click "Create Scheduled Export"
  3. Configure your export settings:
    • Data selection
    • Format
    • Schedule (daily, weekly, monthly)
    • Delivery method (email, cloud storage)
  4. Click "Save Schedule"

API-Based Export​

For programmatic access, use the API to export data:

GET /api/v1/export
Host: api.telegramanalytics.example.com
Authorization: Bearer YOUR_API_KEY

Parameters:

  • channel_ids: Array of channel IDs to include
  • start_date: Start date in ISO format
  • end_date: End date in ISO format
  • categories: Array of data categories
  • format: Export format

Export Formats​

Tabular Data Formats​

  • CSV: Simple comma-separated values format

    • Pros: Universal compatibility, easy to open in spreadsheet software
    • Cons: Limited to flat data structures

  • Excel (.xlsx): Microsoft Excel format

    • Pros: Preserves formatting, supports multiple sheets
    • Cons: Larger file size, less universal than CSV

  • JSON: Structured data in JavaScript Object Notation

    • Pros: Preserves nested data structures, ideal for programmatic use
    • Cons: Less human-readable for non-technical users

Report Formats​

  • PDF: Formatted report with visualizations

    • Pros: Preserves layout and visualizations, easy to share
    • Cons: Data cannot be easily extracted for further analysis

  • HTML: Web-based report format

    • Pros: Interactive elements, can be viewed in any browser
    • Cons: Multiple files, less suitable for sharing

Database Formats​

  • SQLite: Self-contained, serverless database file
    • Pros: Complete relational database, maintains data relationships
    • Cons: Requires SQL knowledge to query

Data Categories​

Subscriber Data​

  • Subscriber counts (daily, weekly, monthly)
  • New subscribers and unsubscribes
  • Growth rates and trends
  • Retention metrics

Content Data​

  • Post details and metadata
  • View counts and rates
  • Engagement metrics (reactions, shares)
  • Content categorization

Engagement Data​

  • Audience activity patterns
  • Engagement rates by time and content type
  • Reaction breakdowns
  • Sharing patterns

Storage Integration​

Cloud Storage​

Connect your preferred cloud storage provider to automatically store exports:

  • Google Drive: Direct integration for scheduled exports
  • Dropbox: Automatic file delivery
  • OneDrive: Microsoft's cloud storage solution
  • Amazon S3: For enterprise-level storage needs

FTP/SFTP​

For users with their own servers:

  1. Navigate to Data > Export Settings
  2. Click "Add FTP Connection"
  3. Enter your FTP/SFTP server details:
    • Server address
    • Username and password/key
    • Directory path
  4. Test the connection
  5. Save the configuration

Data Retention​

Telegram Analytics retains your data according to your subscription plan:

  • Basic Plan: 3 months of detailed data, 1 year of aggregated data
  • Professional Plan: 1 year of detailed data, 2 years of aggregated data
  • Enterprise Plan: 3 years of detailed data, 5 years of aggregated data

To retain data beyond these periods, set up regular exports to your own storage.

Best Practices​

Export Organization​

  • Use consistent naming conventions for export files
  • Include date ranges in filenames
  • Create separate exports for different data categories
  • Document your export structure

Security Considerations​

  • Store exported data securely, especially if it contains sensitive information
  • Use encrypted storage when possible
  • Implement access controls for shared exports
  • Regularly review and delete unnecessary exports

Large Exports​

For very large datasets:

  • Break exports into smaller time periods
  • Use incremental exports (only new data since last export)
  • Schedule exports during off-peak hours
  • Consider using the API for more controlled data retrieval

Next Steps​

To further leverage your exported data: