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ticketing bot

Introduction

High-demand ticket releases create operational challenges: pages change quickly, queues fluctuate, and availability signals appear and disappear in seconds. Automating purchasing or bypassing protections is not acceptable—but monitoring, alerting, and analysis are legitimate needs.

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Created by Appilot, built to showcase our approach to Automation!
If you are looking for custom  ticketing bot , you've just found your team — Let’s Chat.👆 👆

Ticketing bot is a policy-aware operations assistant that helps teams:

  • monitor ticket availability and queue states,
  • observe page changes and release signals,
  • notify humans when action is required,
  • record outcomes with clear audit trails.

This repository does not automate checkout, captcha solving, or payments.


Why This Automation Matters

  • Reduces manual refresh fatigue
  • Improves reaction time to releases
  • Centralizes monitoring across markets
  • Keeps actions human-approved and compliant
  • Produces audit-ready logs and reports

Core Features

Feature Description
Availability Monitoring Detect changes in listings, prices, and seat maps (read-only)
Queue State Tracking Observe queue status, wait times, and transitions
Release Alerts Notify via Discord/Slack/Email when signals appear
Profile Isolation Separate monitoring profiles for clean sessions
Proxy-Aware Monitoring Region-matched IPs for observing localized pages
Rate Limiting Safe polling intervals and backoff
Dashboard Live status, history, and health
Audit Logging What was observed, when, and by which profile

How It Works

Step Operation Safety Control
Configure Define events/markets to watch Allowlist only
Observe Read page/queue signals Read-only
Throttle Apply polling caps Rate-limited
Notify Send alerts Human-in-the-loop
Record Persist observations Immutable logs
Review Human decides next action No auto-purchase

Safety principle: Observe and alert—never transact.


Tech Stack

  • Python
  • Playwright (read-only navigation)
  • Optional Puppeteer (read-only)
  • SQLite/PostgreSQL (telemetry & audits)
  • Redis (optional counters)
  • Structured JSON logging

Directory Structure

ticketing-bot/
├── app/
│ ├── main.py
│ ├── monitors/
│ │ ├── availability.py
│ │ ├── queue.py
│ │ └── page_changes.py
│ ├── profiles/
│ │ ├── isolation.py
│ │ └── fingerprints.py
│ ├── proxies/
│ │ └── regions.py
│ ├── alerts/
│ │ ├── discord.py
│ │ ├── slack.py
│ │ └── email.py
│ ├── policies/
│ │ ├── rate_limits.py
│ │ └── compliance.py
│ └── observability/
│ ├── logging.py
│ └── metrics.py
├── dashboard/
│ └── app.py
├── config/
│ └── settings.yaml
├── tests/
│ └── test_monitors.py
└── README.md

Use Cases

  • Monitoring concert or sports releases across regions
  • Tracking queue health during on-sale windows
  • Alerting teams when availability changes
  • Post-event analysis of release behavior
  • Compliance-safe ops tooling for agencies or venues

FAQs

Q: Can this buy tickets automatically?
No. Checkout, captcha handling, and payments are excluded.

Q: Why profile isolation and proxies if it’s read-only?
To observe localized pages and reduce false positives—not to evade safeguards.

Q: Can alerts trigger scripts?
Alerts notify humans. Any downstream action should be manual and compliant.

Q: Is this suitable for enterprise ops?
Yes—audits, rate limits, and dashboards support team workflows.


Performance & Reliability Benchmarks

  • Low-impact polling with adaptive backoff
  • Deterministic monitors (no duplicate alerts)
  • Fast alert delivery (<1s from signal)
  • Clear logs for incident review

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