crawl4md 0.1.3

Convert web pages and HTML to clean Markdown

crawl4md

crawl4md is a minimal, clean CLI tool that crawls web pages or sitemaps and converts them into structured Markdown files.

The project is intentionally designed to stay simple, deterministic, and easy to extend — without unnecessary complexity or hidden behavior.

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Philosophy

• Minimal: only what is needed, nothing more
• Deterministic: same input → same output
• Transparent: no magic, clear processing steps
• Composable: ideal as a building block for pipelines (e.g. RAG)

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Features

• Crawl from:
  • sitemap.xml
  • explicit page lists
• Clean Markdown output (via crawl4ai, markdown-fit mode)
• Deterministic file structure based on URL paths
• YAML-based project configuration
• CLI-first workflow (uv-compatible)
• Clear, readable progress output

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Installation

There are two ways to use crawl4md.

Use the Batch Crawler

If you want to use the project directly for batch crawling via crawl.yml, clone the repository:

git clone [e-mail]:ixnode/crawl4md.git && cd crawl4md

Then continue with the configuration section below.

Use the Python Package

If you want to build your own tooling on top of crawl4md, install it as a package:

pip install crawl4md

Or with uv:

uv add crawl4md

For local development inside the repository:

uv sync

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Configuration

The CLI reads a crawl.yml file from the current working directory.

Create it from the example:

cp crawl.yml.example crawl.yml

Minimal example:

projects:
    planes:
        type: pages
        crawl:
            parse_type: markdown-fit
        sources:
            - https://de.wikipedia.org/wiki/Boeing_707
            - https://de.wikipedia.org/wiki/Boeing_717
        preprocessing:
            markdown:
                enabled: true
                remove_html_comments: true
                normalize_whitespace: true

    pydantic:
        type: sitemap
        crawl:
            parse_type: markdown-fit
        sources:
            - https://pydantic.dev/sitemap.xml
        preprocessing:
            markdown:
                enabled: false

Available project settings:

• type: pages or sitemap
• sources: list of page URLs or sitemap URLs
• crawl.parse_type: markdown or markdown-fit
• preprocessing.markdown.enabled: enables Markdown cleanup
• preprocessing.markdown.*: optional cleanup rules such as ensure_h1, remove_html_comments, remove_reference_sections, and normalize_whitespace

For the full configuration, see crawl.yml.example.

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Usage

After cloning the repository and creating crawl.yml, use:

crawl planes
crawl pydantic

Or with uv inside the project:

uv run crawl planes
uv run crawl pydantic

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Python API

crawl4md can also be used as a Python package.

The public classes are:

• MarkdownFetcher
• MarkdownConverter
• ParseType
• MarkdownPreprocessingConfig

Configure Parse Type

Use ParseType to control how Markdown is generated:

• "markdown": raw markdown output
• "markdown-fit": cleaned and reduced markdown output via crawl4ai

Configure Preprocessing

Use MarkdownPreprocessingConfig to enable optional cleanup steps.

Simple example:

from crawl4md import MarkdownPreprocessingConfig

config = MarkdownPreprocessingConfig(
    enabled=True,
    remove_html_comments=True,
    normalize_whitespace=True,
)

Fetch Markdown From a URL

Use MarkdownFetcher if you want to fetch a page and directly receive Markdown.

from crawl4md import MarkdownFetcher, MarkdownPreprocessingConfig

config = MarkdownPreprocessingConfig(enabled=True)
fetcher = MarkdownFetcher(config=config, parse_type="markdown-fit")

markdown = fetcher.fetch_sync("https://example.com")
print(markdown)

Async version:

import asyncio

from crawl4md import MarkdownFetcher, MarkdownPreprocessingConfig

config = MarkdownPreprocessingConfig(enabled=True)
fetcher = MarkdownFetcher(config=config, parse_type="markdown-fit")

markdown = asyncio.run(fetcher.fetch("https://example.com"))
print(markdown)

Convert HTML to Markdown

Use MarkdownConverter if you already have HTML and only want the conversion step.

from crawl4md import MarkdownConverter, MarkdownPreprocessingConfig

html = "<html><body><h1>Hello</h1><p>World</p></body></html>"

config = MarkdownPreprocessingConfig(enabled=True, ensure_h1=True)
converter = MarkdownConverter(config=config, parse_type="markdown")

markdown = converter.convert_sync(html=html, url="https://example.com")
print(markdown)

Async version:

import asyncio

from crawl4md import MarkdownConverter, MarkdownPreprocessingConfig

html = "<html><body><h1>Hello</h1><p>World</p></body></html>"

config = MarkdownPreprocessingConfig(enabled=True, ensure_h1=True)
converter = MarkdownConverter(config=config, parse_type="markdown")

markdown = asyncio.run(
    converter.convert(html=html, url="https://example.com")
)
print(markdown)

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Output Structure

Markdown files are stored deterministically based on the URL path:

docs/<project>/<url-path>.md

Example:

docs/planes/wiki/Boeing_707.md

Rules:

• Domain is ignored
• URL path is preserved
• / → index.md
• Query parameters are ignored

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Example Output

1/2 Crawl https://de.wikipedia.org/wiki/Boeing_707
- Fetching ... done
- Processing ... done
- Writing docs/planes/wiki/Boeing_707.md ... done

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Use Cases

• RAG data ingestion
• Website snapshotting
• Knowledge base generation
• Offline documentation

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Project Structure

src/crawl4md/
├─ cli.py
├─ config.py
├─ sitemap.py
├─ crawler.py
├─ paths.py
└─ writer.py

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Notes

• No recursive crawling (by design)
• No hidden caching or transformations
• Focus on clean Markdown output only

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License

This project is licensed under the MIT License. See the LICENSE.md file for details.

Authors

• Björn Hempel [e-mail] - Initial work - https://github.com/bjoern-hempel

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Built on top of crawl4ai

This project builds on the excellent crawl4ai library and extends it with a simpler batch-oriented workflow for repeatable Markdown exports.

Why use crawl4md as a complement to crawl4ai:

• project-based batch crawling via crawl.yml
• support for both page lists and sitemap-driven crawls
• deterministic output paths for generated Markdown files
• optional Markdown cleanup rules for better downstream text quality
• a small CLI and Python API focused on URL or HTML to Markdown workflows
• clearer separation between fetching, conversion, preprocessing, and writing

In short: crawl4ai provides the powerful crawling and Markdown generation foundation, while crawl4md adds a lightweight structure around it for batch jobs, cleaner output, and easier integration into documentation or RAG pipelines.