--- name: bailii-case-download-ciaransaunders title: BAILII case downloader description: Search BAILII (www.bailii.org) for a UK or Irish case and download the full judgment as a clean PDF. Use whenever the user wants a case from BAILII, gives a neutral citation (e.g. "[2024] EAT 114", "[2021] UKSC 5") or a BAILII URL and asks to fetch/download/save it, asks for "the full case as a PDF", wants to verify a case PDF against the authoritative source, or asks to find a case on BAILII by name. Also trigger when the user mentions BAILII, case law downloads, or building a bundle of authorities and needs the underlying judgments. author: ciaransaunders author_url: https://github.com/ciaransaunders/Skills-Public/tree/main/bailii-case-download license: MIT version: 0.1.0 execution_mode: open jurisdiction: gb practice: litigation language: en --- # BAILII case downloader Fetches UK/Irish judgments from BAILII and saves them as clean, readable PDFs (BAILII chrome, nav, search forms, donation banners and footers removed). BAILII now sits behind **Anubis** — a JavaScript proof-of-work bot wall, on top of its long-standing cloud-IP block. The bundled script solves the proof-of-work in pure Python (no browser needed) and handles BAILII's CGI quirks, so prefer it over `web_fetch`/`curl`, which will just hit the "Making sure you're not a bot!" page. ## The script `scripts/bailii_fetch.py` — self-contained, Python 3 stdlib only for fetching. PDF rendering uses the first available of: `wkhtmltopdf` → headless Chrome/Chromium → `weasyprint`. If none is present it saves the cleaned HTML and says so in the output (you can then convert it yourself). Run it with `python3 scripts/bailii_fetch.py ...`. All commands print JSON to stdout. ## Choosing a command (in order of preference) **1. `cite` — when you have a neutral citation. Most reliable; use this first.** ``` python3 scripts/bailii_fetch.py cite "[2024] EAT 114" --out DIR ``` Resolves the citation via BAILII's citation finder and downloads the case. Works for the usual courts: UKSC, UKHL, UKPC, EWCA, EWHC, EAT/UKEAT, UKUT, etc. Exits with code 2 and a helpful message if the citation doesn't resolve. **2. `url` — when you already have the BAILII case URL.** ``` python3 scripts/bailii_fetch.py url "https://www.bailii.org/uk/cases/UKSC/2021/5.html" --out DIR ``` **3. `search` — when you only have the case name. Returns candidates; does NOT auto-download.** ``` python3 scripts/bailii_fetch.py search "Uber Aslam" --limit 6 ``` Prints a JSON list of `{url, title}` candidates (title-scoped search — fuzzy by design). **Pick the right one yourself**, confirm with the user if ambiguous, then download it with `url`. Don't assume the first result is correct; BAILII often returns the whole litigation chain (ET → EAT → CA → SC) and you want the specific instance the user means. ## Options - `--out DIR` where to save (default: current dir). Create/choose a sensible folder, e.g. an authorities bundle directory. - `--keep-html` also keep the cleaned standalone HTML next to the PDF. - `--no-pdf` save cleaned HTML only, skip PDF rendering. - `--limit N` (search only) max candidates to return. ## Output `cite` and `url` print JSON with `title`, `source_url`, `pdf` (path), optionally `html`, and `pdf_engine`. The PDF carries a small "Retrieved from BAILII · " provenance banner at the top so the source is always traceable — useful for an authorities bundle. ## Notes / caveats - **Anubis is occasionally flaky.** The script already solves-and-retries and validates the final page (rejects bot-wall pages, checks it's a real `/cases/...html` judgment). If a fetch still fails, just run it again. - **Always sanity-check the result.** Confirm the returned `title` matches the case the user asked for before relying on it — especially after `search`. - This pulls **public** judgments from a free public legal database. It is not a substitute for a citator: BAILII does not show subsequent treatment / whether a case is still good law. - Filenames are derived from the case title and capped in length; the script handles the awkward characters.