Scrapyd Log Parser

A high-performance tool designed to parse Scrapyd logs and generate detailed statistics, providing deep insights that Scrapyd doesn't provide natively.

Features

• High Performance: Leverages ProcessPoolExecutor for parallel log parsing, maximizing CPU utilization.
• Organized Output: Centralizes all parsed JSON data into a dedicated scrapydlogparser directory, mirroring your project's structure.
• Loop Mode: Automatically monitors and re-parses logs at configurable intervals.
• Smart Cleanup: Automatically removes orphaned JSON files when their corresponding log files are deleted.
• Incremental Parsing: Only processes new or modified logs by checking file size against existing data.
• Error Detection: Specifically detects critical unhandled errors and crashes, labeling them for easy identification.

Quick Start

Installation

Install in editable mode for development:

pip install -e .

Basic Usage

Run the parser by pointing it to your Scrapyd logs directory:

scrapyd-logparser /path/to/scrapyd/logs

By default, this will:

1. Create a scrapydlogparser/ directory inside your logs folder.
2. Generate individual .json files for every log, mirroring the project/spider structure.
3. Save a global scrapydlogparser.json summary in the same directory.

CLI Options

Advanced Usage

Continuous Monitoring (Loop Mode)

To keep your statistics updated in real-time (e.g., every 60 seconds):

scrapyd-logparser ./logs --interval 60

Data Structure

The tool transforms your standard Scrapyd logs into a clean, queryable JSON structure:

logs/
├── project/
│   └── spider/
│       └── job.log
└── scrapydlogparser/
    ├── scrapydlogparser.json (Global Summary)
    └── project/
        └── spider/
            └── job.json (Detailed stats)