Normalize and filter noisy URL lists before crawling or queueing

Uses Courlan to clean, normalize, de-track, and language-filter raw URL inventories before a crawler, scraper, or analyst queue touches them. Best when an agent already has too many candidate links and needs a smaller, cleaner frontier, not a full crawling stack.

Prerequisites

Python 3, pip, command line

Installation

Use the upstream install or setup path that matches your environment:

• $ pip install courlan # pip3 install on systems where both Python 2 and 3 are installed
• $ pip install --upgrade courlan # to make sure you have the latest version
• $ pip install git+https://github.com/adbar/courlan.git # latest available code (see build status above)

Requirements and caveats from upstream:

• 
• 
• Usable with Python or on the command-line

Basic usage or getting-started notes:

• is tested on Linux, macOS and Windows systems.

• Courlan is available on the package repository PyPI

• bash

• Source: https://github.com/adbar/courlan

• Extracted from upstream docs: https://raw.githubusercontent.com/adbar/courlan/HEAD/README.md

Documentation

• https://adrien.barbaresi.eu/blog/easy-content-aware-url-filtering.html

Source

• Agent Skill Exchange