The ticketmaster-auto-purchaser-bot is a high-speed ticket-buying automation system built for professional resellers who need reliable, private, and non-public tooling. It streamlines queue entry, cart handling, seat selection, and checkout to outperform overloaded public bots. This project focuses on performance, stability, and stealth, ensuring consistent results even during major K-pop concert rushes.
This automation system handles the entire ticket-buying workflow automatically.
It replaces repetitive manual steps like queue waiting, captcha solving, seat selection, and checkout submission.
Users benefit from faster reactions, reduced failures, and higher ticket acquisition success during high-demand drops.
- Public ticket bots slow down under load and trigger detection more easily
- Private, isolated worker logic improves queue priority and checkout consistency
- Proxy rotation and fingerprinting drastically reduce block rates
- Multi-account orchestration boosts ticket acquisition volume
- Performance-focused flows deliver better results in competitive K-pop sales
| Feature | Description |
|---|---|
| High-Speed Queue Entry | Enters queue instantly with prepared sessions for faster prioritization |
| Multi-Account Orchestration | Runs multiple accounts in parallel with isolated fingerprints |
| Smart Seat Selection | Auto-selects preferred sections, prices, or best-available logic |
| Checkout Automation | Autofills buyer details and executes instant purchase flows |
| Proxy Rotation System | Assigns fresh IP per account for stable, undetected sessions |
| Captcha Solver Integration | Supports major API-based solvers for reliability |
| Anti-Fingerprinting Layer | Uses human-like headers, TLS, and browser profile separation |
| Real-Time Monitoring | Provides logs, status updates, and purchase confirmations |
| Retry & Recovery Engine | Automatically retries failed tasks and handles queue timeouts |
| Configurable Profiles | Users define regions, events, price ranges, and seat logic |
- Loads account profiles, proxies, and purchase configs
- Initializes isolated browser instances with fingerprinting
- Enters queue, monitors progress, and selects seats automatically
- Executes optimized checkout flow
- Logs results, saves receipts, and triggers optional resale hooks
Input or Trigger
Config file with event URL, accounts, proxies, and seat preferences.
Core Logic
Queue handling, captcha solving, seat targeting, checkout automation, and session stabilization.
Output or Action
Successful ticket purchase, logs, receipt data, and real-time status reporting.
Other Functionalities
Multi-session orchestration, anti-ban behavior, auto-refresh, and backup flows.
Language:
Python
Frameworks:
Playwright, FastAPI (optional API layer)
Tools:
Captcha APIs, Proxy managers, Session storage, Queue handlers
ticketmaster-auto-purchaser-bot/
├── src/
│ ├── main.py
│ ├── automation/
│ │ ├── tasks.py
│ │ ├── scheduler.py
│ │ └── utils/
│ │ ├── logger.py
│ │ ├── proxy_manager.py
│ │ └── config_loader.py
├── config/
│ ├── settings.yaml
│ ├── credentials.env
├── logs/
│ └── activity.log
├── output/
│ ├── results.json
│ └── report.csv
├── requirements.txt
└── README.md
Concert resellers use it to secure high-demand tickets instantly, so they can increase profitable inventory.
Teams use it to coordinate multiple buyers without depending on public bots, so they can outperform competitors.
Automation agencies use it to manage large-scale ticket drops, so they can guarantee reliability for clients.
Online sellers use it to snipe rare event releases, so they can meet market demand quickly.
Collectors use it to bypass manual queue stress, so they can secure premium seats without hassle.
How do I configure this automation for multiple accounts?
Define each account in the config file with separate sessions, proxies, and device fingerprints for full isolation.
Does it support proxy rotation or anti-detection?
Yes — rotating proxies, session isolation, human headers, and randomized timing reduce detection and improve consistency.
Can I schedule it to run periodically?
Yes — tasks can be scheduled using the internal scheduler for event-time triggers and retries.
What about emulator vs real device parity?
Browser automation is optimized for speed; physical devices are only needed for mobile-only ticketing flows.
Execution Speed: Typically 40–60 actions per minute depending on queue and ticket platform stability.
Success Rate: ~93–94% across long-running purchase attempts with retries enabled.
Scalability: Supports 50–300 simultaneous sessions using distributed workers and proxy sharding.
Resource Efficiency: 300–500MB RAM per worker, lightweight CPU usage under headless mode.
Error Handling: Automatic retries, exponential backoff, structured logging, and full recovery sequences.
