MarkGrab

MarkGrab

한국어 문서 · llms.txt

Universal web content extraction — any URL to LLM-ready markdown.

from markgrab import extract

result = await extract("https://example.com/article") print(result.markdown) # clean markdown print(result.title) # "Article Title" print(result.word_count) # 1234 print(result.language) # "en"

Features

• HTML — BeautifulSoup + content density filtering (removes nav, sidebar, ads)
• YouTube — transcript extraction with timestamps
• PDF — text extraction with page structure
• DOCX — paragraph and heading extraction
• Auto-fallback — tries lightweight httpx first, falls back to Playwright for JS-heavy pages
• Async-first — built on httpx and Playwright async APIs

Install

pip install markgrab

Optional extras for specific content types:

pip install "markgrab[browser]"    # Playwright for JS-rendered pages

pip install "markgrab[youtube]" # YouTube transcript extraction pip install "markgrab[pdf]" # PDF text extraction pip install "markgrab[docx]" # DOCX text extraction pip install "markgrab[all]" # everything

Usage

Python API

import asyncio

from markgrab import extract

async def main():

HTML (auto-detects content type)

result = await extract("https://example.com/article")

YouTube transcript

result = await extract("https://youtube.com/watch?v=dQw4w9WgXcQ")

PDF

result = await extract("https://arxiv.org/pdf/1706.03762")

Options

result = await extract( "https://example.com", max_chars=30_000, # limit output length (default: 50K) use_browser=True, # force Playwright rendering stealth=True, # anti-bot stealth scripts (opt-in) timeout=60.0, # request timeout in seconds proxy="http://proxy:8080", )

asyncio.run(main())

CLI

markgrab https://example.com                     # markdown output

markgrab https://example.com -f text # plain text markgrab https://example.com -f json # structured JSON markgrab https://example.com --browser # force browser rendering markgrab https://example.com --max-chars 10000 # limit output

ExtractResult

result.title        # page title

result.text # plain text result.markdown # LLM-ready markdown result.word_count # word count result.language # detected language ("en", "ko", ...) result.content_type # "article", "video", "pdf", "docx" result.source_url # final URL (after redirects) result.metadata # extra metadata (video_id, page_count, etc.)

How it works

flowchart TD

A["🔗 URL Input"] --> B{"Content\nType?"} B -->|"HTML"| C["HTTP fetch\n(httpx)"] C --> D{"JS\nrequired?"} D -->|"no"| E["HTML Parser\n→ clean markdown"] D -->|"yes"| F["Playwright\nfallback"] F --> E B -->|"YouTube"| G["Transcript API\n→ timestamped markdown"] B -->|"PDF"| H["PDF Parser\n→ structured markdown"] B -->|"DOCX"| I["DOCX Parser\n→ markdown"] E --> J["✅ LLM-ready\nMarkdown"] G --> J H --> J I --> J

For HTML pages, if the initial httpx fetch yields fewer than 50 words, MarkGrab automatically retries with Playwright to handle JavaScript-rendered content.

Disclaimer

This software is provided for legitimate purposes only. By using MarkGrab, you agree to the following:

• robots.txt: MarkGrab does not check or enforce robots.txt. Users are solely responsible for checking and respecting robots.txt directives and the terms of service of any website they access.

• Rate limiting: MarkGrab does not include built-in rate limiting or request throttling. Users must implement their own rate limiting to avoid overloading target servers. Abusive request patterns may violate applicable laws and website terms of service.

• YouTube transcripts: YouTube transcript extraction relies on the third-party youtube-transcript-api library, which uses YouTube's internal (unofficial) caption API. This may not comply with YouTube's Terms of Service. Use at your own discretion and risk.

• Stealth mode: The optional stealth=True feature modifies browser fingerprinting signals to reduce bot detection. This feature is intended for legitimate use cases such as testing, research, and accessing content that is publicly available to regular browser users. Users are responsible for ensuring their use complies with applicable laws and the terms of service of target websites.

• Legal compliance: Users are responsible for ensuring that their use of MarkGrab complies with all applicable laws, including but not limited to the Computer Fraud and Abuse Act (CFAA), the Digital Millennium Copyright Act (DMCA), GDPR, and equivalent legislation in their jurisdiction.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND. See the LICENSE file for the full MIT license text.

Acknowledgments

MarkGrab builds on excellent open-source work and well-established techniques:

• [puppeteer-extra-plugin-stealth](https://github.com/nicoleahmed/puppeteer-extra-plugin-stealth) — stealth evasion patterns (webdriver removal, plugin mocking, WebGL spoofing) that inspired the opt-in anti_bot/stealth.py module
• [Mozilla Readability](https://github.com/mozilla/readability) — content area detection priority (article > main > body) and link density filtering concepts used in the density filter
• [Boilerpipe](https://github.com/kohlschutter/boilerpipe) (Kohlschutter et al., 2010) — the academic origin of link density ratio algorithms for boilerplate removal
• [Jina Reader](https://github.com/jina-ai/reader) — validated the market need for URL-to-markdown extraction; MarkGrab aims to be a lightweight, self-hosted alternative

Built with httpx, BeautifulSoup, markdownify, Playwright, youtube-transcript-api, pdfplumber, and python-docx.

Used in

• newswatch — RSS news monitoring pipeline (feedkit → markgrab → embgrep → diffgrab)
• watchdeck — Web page monitoring with visual diffs and safety guards

License

MIT

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Part of the QuartzUnit ecosystem — composable Python libraries for data collection, extraction, search, and AI agent safety.