An intelligent automation system designed to monitor eBay competitor listings, track real-time price fluctuations, and optimize your pricing strategy automatically. The eBay Competitor Price Tracker helps sellers stay competitive by continuously gathering and analyzing market data — all without manual effort.
Created by Appilot, built to showcase our approach to Automation!
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The eBay Competitor Price Tracker automates one of the most critical aspects of online selling — keeping your prices competitive.
It continuously checks rival listings, compares prices, and alerts or adjusts pricing rules based on predefined strategies.
This eliminates the need for manual research, ensuring your listings are always optimized for conversion and profitability.
- Tracks competitor listings in real-time to identify pricing gaps and opportunities.
- Automates repricing logic to maintain competitiveness while preserving margins.
- Uses human-like automation for safe, reliable monitoring without detection.
- Integrates with multiple eBay accounts and store dashboards seamlessly.
- Provides detailed analytics for pricing trends and competitor activity.
| Feature | Description |
|---|---|
| Real Devices and Emulators | Works seamlessly on both physical Android devices and emulators to simulate human browsing and data collection. |
| No-ADB Wireless Automation | Operates fully wirelessly, eliminating the need for direct ADB connections, ideal for multi-device cloud environments. |
| Mimicking Human Behavior | Uses Appilot’s behavioral emulation engine to perform natural scrolls, taps, and delays like real users. |
| Multiple Accounts Support | Supports monitoring and automation across several eBay stores simultaneously. |
| Multi-Device Integration | Scales across a network of Android devices or emulators for faster and broader data coverage. |
| Exponential Growth for Your Account | Keeps listings optimized to outperform competitors, increasing visibility and conversions. |
| Premium Support | Includes technical assistance and deployment guidance from the Appilot engineering team. |
| Smart Repricing Rules | Adjusts your product prices dynamically based on competitor activity and margin preferences. |
| Price Alert Notifications | Sends real-time notifications when competitor prices change beyond a set threshold. |
| Auto Data Export | Generates structured reports (CSV, JSON) for deeper analytics and integrations. |
| Scheduling & Frequency Control | Lets users define scan intervals — hourly, daily, or custom. |
| Error Recovery & Retry Logic | Automatically retries failed scans and logs anomalies for diagnostics. |
| Proxy & Anti-Detection Layer | Rotates network proxies to prevent IP bans and ensure continuous uptime. |
- Input or Trigger — The automation begins when the user specifies competitor URLs or keywords inside the Appilot dashboard.
- Core Logic — Appilot interacts with eBay through UI Automator or Accessibility APIs, scanning item listings and extracting real-time pricing data.
- Data Analysis — Extracted data is compared with the user’s listings to calculate pricing differences, trends, and profitability margins.
- Output or Action — The bot sends alerts or applies repricing rules automatically to maintain competitive positioning.
- Other Functionalities — Includes error handling, retry scheduling, data logging, and reporting for continuous optimization.
- Language: Python, Kotlin, Java
- Frameworks: Appium, UI Automator, Robot Framework, BeautifulSoup
- Tools: Appilot, Android Debug Bridge (ADB), Bluestacks, Scrcpy, Firebase Test Lab
- Infrastructure: Dockerized device farms, Cloud-based emulators, Proxy networks, Parallel task execution, REST APIs
ebay-competitor-price-tracker/
│
├── src/
│ ├── main.py
│ ├── automation/
│ │ ├── tracker.py
│ │ ├── parser.py
│ │ └── utils/
│ │ ├── logger.py
│ │ ├── proxy_manager.py
│ │ └── config_loader.py
│
├── config/
│ ├── settings.yaml
│ ├── accounts.env
│
├── data/
│ ├── listings.json
│ ├── competitors.csv
│
├── logs/
│ └── tracker.log
│
├── output/
│ ├── report.csv
│ └── summary.json
│
├── requirements.txt
└── README.md
- eBay Sellers use it to automatically adjust prices against competitors, maximizing sales.
- E-commerce Managers use it to analyze market price trends and identify undercutting threats.
- Developers integrate it with existing store dashboards for automated insights.
- Agencies use it to manage client pricing strategies across multiple stores.
Q1: How do I set up competitor tracking?
You can input competitor product URLs or keywords in the Appilot dashboard, and the system will begin monitoring immediately.
Q2: Does it support multiple accounts or stores?
Yes. It can track multiple eBay accounts simultaneously with separate pricing configurations.
Q3: Can I export data?
Absolutely — reports can be exported in JSON, CSV, or pushed via API for integration with external systems.
Q4: How often can I run scans?
You can schedule scans hourly, daily, or even in real-time using cron or Appilot’s built-in scheduler.
Q5: Is this automation safe to run?
Yes, Appilot ensures human-like behavior and proxy rotation to prevent account or IP bans.
- Execution Speed: Scans 1,000 listings in under 4 minutes on mid-tier hardware.
- Success Rate: 95% average success rate across multiple test runs.
- Scalability: Supports up to 500–1,000 Android devices/emulators in distributed setups.
- Resource Efficiency: Optimized CPU and memory footprint with adaptive threading.
- Error Handling: Built-in retry, logging, and failover logic for uninterrupted operations.