eBay Listing Health Checker

Automates eBay listing audits by analyzing product titles, descriptions, keywords, and performance metrics — ensuring every listing is optimized for visibility and conversion. This bot detects issues in listing quality, tracks ranking performance, and provides actionable improvement suggestions, saving sellers hours of manual review.

Created by Appilot, built to showcase our approach to Automation!
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Introduction

The eBay Listing Health Checker automates the process of auditing and optimizing product listings for maximum visibility and conversion. It scans listings for missing keywords, poor images, incomplete attributes, and price mismatches — helping sellers maintain a high-performing store.

Automating eBay Listing Quality Analysis

• Detects weak or missing SEO keywords and meta fields in listings.
• Identifies listings with low conversion or impression rates.
• Suggests pricing adjustments based on competitor analysis.
• Evaluates photo quality, item specifics, and compliance factors.
• Provides exportable health reports with actionable insights.

Core Features

Feature	Description
Real Devices and Emulators	Runs seamlessly across real Android devices or emulators to simulate user-level interaction with the eBay app and browser dashboard.
No-ADB Wireless Automation	Operates without wired ADB connections, enabling fast and secure wireless automation through Appilot Cloud.
Mimicking Human Behavior	Executes human-like taps, swipes, and pauses to avoid detection while collecting data or updating listings.
Multiple Accounts Support	Manage multiple seller accounts and run audits in parallel to scale operations efficiently.
Multi-Device Integration	Connects with multiple Android or virtual instances to process hundreds of listings simultaneously.
Exponential Growth for Your Account	Continuously optimizes listing performance, improving impressions, CTR, and overall sales over time.
Premium Support	Dedicated support team available for setup, scaling, and troubleshooting.
Keyword Density Audit	Analyzes titles and descriptions for optimal keyword placement using custom SEO rules.
Competitor Benchmarking	Compares your listings against top competitors in the same category.
Auto Health Report Export	Generates weekly or on-demand CSV/PDF health reports for all monitored listings.
Smart Price Analyzer	Detects pricing mismatches or non-competitive rates and provides optimized pricing suggestions.
Listing Compliance Checker	Verifies category, brand, and policy compliance to prevent potential listing removal.
Dynamic Scoring System	Assigns a “Health Score” to each listing, reflecting overall optimization quality.

How It Works

1. Input or Trigger — The user connects their eBay store through Appilot and selects listings to analyze or schedule periodic scans.
2. Core Logic — Appilot fetches listing data through UI Automator or API integration, analyzing images, text fields, keywords, and metrics.
3. Output or Action — The bot generates a detailed health report for each listing, including keyword strength, compliance, and pricing suggestions.
4. Other functionalities — Includes logging, retries for failed audits, CSV report generation, and optional alert notifications for underperforming listings.

Tech Stack

Language: Python, Java, JavaScript
Frameworks: Appium, UI Automator, Selenium, Robot Framework
Tools: Appilot, ADB, Appium Inspector, Bluestacks, Firebase, Scrcpy
Infrastructure: Cloud device farms, Dockerized automation nodes, Proxy rotation, Parallel device execution

Directory Structure

ebay-listing-health-checker/
│
├── src/
│   ├── main.py
│   ├── automation/
│   │   ├── health_audit.py
│   │   ├── keyword_analyzer.py
│   │   ├── price_checker.py
│   │   ├── compliance_checker.py
│   │   └── utils/
│   │       ├── logger.py
│   │       ├── report_generator.py
│   │       └── config_loader.py
│
├── config/
│   ├── settings.yaml
│   ├── credentials.env
│
├── reports/
│   └── listings_health_report.csv
│
├── logs/
│   └── activity.log
│
├── output/
│   ├── screenshots/
│   └── reports/
│   
├── requirements.txt
└── README.md

Use Cases

• eCommerce Sellers use it to audit all listings daily, ensuring SEO compliance and higher conversions.
• Agencies use it to monitor multiple clients’ eBay stores from a single dashboard.
• Dropshippers use it to detect duplicate or underperforming listings automatically.
• Developers use it as a backend engine for eBay analytics dashboards.

FAQs

How often can I run listing health checks?
You can schedule checks daily, weekly, or on-demand through the Appilot dashboard.

Does it support multiple eBay stores?
Yes, you can connect multiple seller accounts and audit them in parallel.

Can I export listing reports?
Yes, reports are automatically exported in CSV or PDF format.

Does it handle pricing optimization?
It analyzes price competitiveness and suggests recommended adjustments.

Performance & Reliability Benchmarks

• Execution Speed: 150–300 listings audited per minute per device.
• Success Rate: 95%+ accuracy in keyword and compliance detection.
• Scalability: Handles up to 500 parallel listing audits across 300–1000 devices.
• Resource Efficiency: Lightweight, minimal CPU footprint with async task queuing.
• Error Handling: Built-in retries, logging, and fault recovery mechanisms ensure reliable performance.