Performance improvements
major performance overhaul with 5-10x speed improvements
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74
README.md
74
README.md
@@ -10,16 +10,40 @@ ___________________ _________
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|____| \______ /_______ /
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\/ \/
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```
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## What's New in v2.0 🎉
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**Major Performance Improvements:**
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- **5-10x faster scraping** with batch database operations
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- **3x faster media downloads** with parallel processing (up to 3 concurrent downloads)
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- **10-20x faster database operations** through connection pooling and batch insertions
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- **Memory-efficient exports** that handle large datasets without running out of memory
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- **Enhanced progress reporting** with actual message counts and percentages
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**New Features:**
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- **Message count display** in channel view
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- **Configurable download concurrency** (adjustable in code)
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- **Better error handling** with exponential backoff retry mechanism
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- **Optimized database structure** with indexes for faster queries
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- **Object-oriented design** for better code maintainability
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**Technical Improvements:**
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- Database connection pooling
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- Batch message insertions (100 messages per batch)
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- Streaming exports for large datasets
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- Improved flood control handling
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- Periodic state saving (every 50 messages)
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## Features 🚀
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- Scrape messages from multiple Telegram channels
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- Download media files (photos, documents)
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- Download media files (photos, documents) with parallel processing
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- Real-time continuous scraping
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- Export data to JSON and CSV formats
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- SQLite database storage
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- SQLite database storage with optimized performance
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- Resume capability (saves progress)
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- Media reprocessing for failed downloads
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- Progress tracking
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- Enhanced progress tracking with message counts
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- Interactive menu interface
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## Prerequisites 📋
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@@ -90,15 +114,17 @@ python telegram-scraper.py
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When scraping a channel for the first time, please note:
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- The script will attempt to retrieve the entire channel history, starting from the oldest messages
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- Initial scraping can take several minutes or even hours, depending on:
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- **Significantly faster than previous versions** due to batch processing and parallel downloads
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- Initial scraping time depends on:
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- The total number of messages in the channel
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- Whether media downloading is enabled
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- The size and number of media files
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- Your internet connection speed
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- Telegram's rate limiting
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- The script uses pagination and maintains state, so if interrupted, it can resume from where it left off
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- Progress percentage is displayed in real-time to track the scraping status
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- Messages are stored in the database as they are scraped, so you can start analyzing available data even before the scraping is complete
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- **Enhanced progress display** shows actual message counts (e.g., "1,500/10,000 messages")
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- Messages are stored in the database in batches for optimal performance
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- **Media downloads run in parallel** (up to 3 simultaneous downloads) for faster processing
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## Usage 📝
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@@ -115,9 +141,9 @@ The script provides an interactive menu with the following options:
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- **[C]** Continuous scraping
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- Real-time monitoring of channels for new messages
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- **[E]** Export data
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- Export to JSON and CSV formats
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- Export to JSON and CSV formats (memory-efficient for large datasets)
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- **[V]** View saved channels
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- List all saved channels
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- List all saved channels **with message counts**
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- **[L]** List account channels
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- List all channels with ID:s for account
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- **[Q]** Quit
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@@ -132,12 +158,12 @@ You can use either:
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### Database Structure
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Data is stored in SQLite databases, one per channel:
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Data is stored in SQLite databases, one per channel with **optimized indexes**:
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- Location: `./channelname/channelname.db`
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- Table: `messages`
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- `id`: Primary key
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- `message_id`: Telegram message ID
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- `date`: Message timestamp
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- `message_id`: Telegram message ID (indexed)
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- `date`: Message timestamp (indexed)
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- `sender_id`: Sender's Telegram ID
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- `first_name`: Sender's first name
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- `last_name`: Sender's last name
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@@ -152,17 +178,27 @@ Data is stored in SQLite databases, one per channel:
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Media files are stored in:
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- Location: `./channelname/media/`
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- Files are named using message ID or original filename
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- **Parallel downloads** for faster media acquisition
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### Exported Data 📊
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Data can be exported in two formats:
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Data can be exported in two formats with **memory-efficient processing**:
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1. **CSV**: `./channelname/channelname.csv`
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- Human-readable spreadsheet format
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- Easy to import into Excel/Google Sheets
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- **Streaming export** handles large datasets
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2. **JSON**: `./channelname/channelname.json`
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- Structured data format
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- Ideal for programmatic processing
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- **Memory-optimized** for large files
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## Performance Tuning ⚙️
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You can adjust these performance settings in the code:
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- `max_concurrent_downloads = 3`: Number of simultaneous media downloads
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- `batch_size = 100`: Number of messages processed in each batch
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- `state_save_interval = 50`: How often to save progress
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## Features in Detail 🔍
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@@ -171,7 +207,7 @@ Data can be exported in two formats:
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The continuous scraping feature (`[C]` option) allows you to:
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- Monitor channels in real-time
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- Automatically download new messages
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- Download media as it's posted
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- Download media as it's posted with parallel processing
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- Run indefinitely until interrupted (Ctrl+C)
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- Maintains state between runs
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@@ -181,16 +217,18 @@ The script can download:
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- Photos
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- Documents
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- Other media types supported by Telegram
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- Automatically retries failed downloads
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- **Parallel downloads** for faster processing
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- **Improved retry mechanism** with exponential backoff
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- Skips existing files to avoid duplicates
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## Error Handling 🛠️
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The script includes:
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- Automatic retry mechanism for failed media downloads
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- **Enhanced retry mechanism** with exponential backoff for failed media downloads
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- State preservation in case of interruption
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- Flood control compliance
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- Error logging for failed operations
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- **Improved flood control** compliance
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- Comprehensive error logging for failed operations
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- **Better rate limit handling** with automatic waiting
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## Limitations ⚠️
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@@ -212,4 +250,4 @@ This tool is for educational purposes only. Make sure to:
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- Respect Telegram's Terms of Service
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- Obtain necessary permissions before scraping
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- Use responsibly and ethically
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- Comply with data protection regulations
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- Comply with data protection regulations
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