# 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.

- Skill: `agentskillexchange/normalize-and-filter-noisy-url-lists-before-crawling-or-queu` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/normalize-and-filter-noisy-url-lists-before-crawling-or-queu`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/normalize-and-filter-noisy-url-lists-before-crawling-or-queu/raw
- Safety review: pending (external: skill-scanner PASS, skillspector CAUTION)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/normalize-and-filter-noisy-url-lists-before-crawling-or-queu

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# 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:
- [![Python package](https://img.shields.io/pypi/v/courlan.svg)](https://pypi.python.org/pypi/courlan)
- [![Python versions](https://img.shields.io/pypi/pyversions/courlan.svg)](https://pypi.python.org/pypi/courlan)
- 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](https://pypi.org/)
- 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](https://agentskillexchange.com/skills/normalize-and-filter-noisy-url-lists-before-crawling-or-queueing/)