liferay-docs-scraper 0.1.2

Scrape learn.liferay.com/w/dxp into local Markdown docs (raw/{capability}/*.md) for the liferay-expert Claude Code skill.

liferay-docs-scraper

Scrape learn.liferay.com/w/dxp/* into a local Markdown copy of the docs, then answer Liferay DXP questions in Claude Code by grepping and citing it — no bundled docs, no embeddings, no vector DB.

What makes this different

• No bundled copyrighted content. This repo and the PyPI package ship only the scraping tool, never Liferay's documentation text. Each user scrapes their own local copy directly from learn.liferay.com. See docs/adr/0001-crawl4ai-based-corpus-pipeline.md for the full reasoning on why that's the safer distribution model.
• No embeddings, no vector DB. Plain grep + Read over ~1,800 well-organized Markdown files is fast enough — the liferay-expert skill just searches those docs directly.
• One shared docs folder, not per-project. The scraper writes to a single OS-appropriate per-user directory (resolved by resolve_docs_dir()), so every project that installs the skill reads the same docs instead of duplicating a ~30-40 minute scrape.

How it works

1. Scrape: uvx liferay-docs-scraper runs a crawl4ai (free, self-hosted, Playwright-based) BFS crawl of learn.liferay.com/w/dxp/* and writes clean Markdown to raw/{capability}/*.md, one file per page, across 14 Liferay DXP capabilities.
2. Install: npx skills add mordonez/liferay-docs-scraper --skill liferay-expert drops the liferay-expert skill into any project's .claude/skills/.
3. Ask: Claude Code greps the docs for the relevant capability, reads the matching page(s), and answers — always citing the source URL from that file's frontmatter.

Contents

• Quickstart
• Reference: the scraper in detail
• Reference: the skill in detail

Quickstart

The recommended order for a first-time setup: scrape, then install the skill, then ask questions.

1. Scrape the docs (one-time, ~30-40 min):

uvx --from crawl4ai crawl4ai-setup   # one-time, installs Playwright browsers
uvx liferay-docs-scraper

Run this from anywhere -- it does not write into your current directory, see "Reference: the scraper in detail" below for exactly where it goes.

2. Install the skill into whatever project you're working in:

npx skills add mordonez/liferay-docs-scraper --skill liferay-expert -a claude-code

You'll see:

◇  Installed 1 skill ───────────────────╮
│                                       │
│  ✓ liferay-expert (copied)            │
│    → ./.claude/skills/liferay-expert  │
│                                       │
├───────────────────────────────────────╯

3. Ask Claude Code a Liferay question, e.g. "how do I configure a synonym set in Liferay search?" The skill finds the docs, greps the search capability, reads search-administration-and-tuning-synonym-sets.md, and answers grounded in that page -- citing https://learn.liferay.com/w/dxp/search/search-administration-and-tuning/synonym-sets as the source.

The docs are shared across every project where you install the skill (see "OS default location" below), so step 1 is only ever needed once per machine -- rerun it later just to refresh, not per-project.

If you install the skill without doing step 1 first (or the docs go stale), it notices and tells you what to run rather than guessing or answering ungrounded -- it never launches the ~30-40 min scrape on its own mid-conversation. See "Step 1/2" in skills/liferay-expert/SKILL.md for that check.

Reference: the scraper in detail

Requires Python 3.10-3.13 (crawl4ai's Playwright dependency doesn't yet support 3.14) and uv.

# One-time: installs the Playwright/Chromium browser crawl4ai drives
uvx --from crawl4ai crawl4ai-setup

# From anywhere -- the docs do NOT go in your current directory:
uvx liferay-docs-scraper

This takes roughly 30-40 minutes (BFS deep crawl of ~1900 pages across 14 capabilities) and writes to one shared, per-user location (so it's the same docs no matter which project you're in when the skill looks for it):

OS	Default location
macOS	~/Library/Application Support/liferay-docs/
Linux	~/.local/share/liferay-docs/ (or $XDG_DATA_HOME/liferay-docs)
Windows	%LOCALAPPDATA%\liferay-docs\

Set LIFERAY_DOCS_DIR to override (e.g. to keep a project-local copy instead).

Inside that directory:

• raw/{capability}/*.md — the docs, one file per page
• raw/_navigation/{capability}/*.md — pure TOC pages, kept but deprioritized
• raw/_removed/{capability}/*.md — pages confirmed gone from the live site
• reports/filtered/ — URL manifests, self-hosted prune log, run summary

Re-run it anytime (weekly recommended) to refresh: it starts from zero every time, so it naturally picks up new pages, updates changed ones, and quarantines (never deletes) removed ones. If that directory is (or becomes) a git repo -- worth doing once, purely as a local diffing tool, nothing needs pushing anywhere -- it also runs check-regressions automatically afterward and flags any file that shrank by more than half or grew more than 3x versus the last commit (signals of a broken fetch); see docs/adr/0001-crawl4ai-based-corpus-pipeline.md for why that check exists.

Reference: the skill in detail

npx skills add mordonez/liferay-docs-scraper --skill liferay-expert

Or just copy skills/liferay-expert/SKILL.md into .claude/skills/liferay-expert/ in any project. Claude Code picks it up automatically; the skill itself resolves $LIFERAY_DOCS_DIR (or the OS default above) to find the docs, so it works the same regardless of which project you installed it into.

License

MIT — applies to this tool and skill only, not to the Liferay documentation text it helps you fetch (that stays Liferay's, and each user scrapes their own local copy directly from learn.liferay.com).