Bailii Case Download

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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: ciaransaunders
• Source: ciaransaunders/Skills-Public
• License: MIT

Install and usage instructions live in the source repository linked above.