A high-performance Python-based tool to scrape and export public Letterboxd watchlists into structured data formats.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install letterboxd-watchlist
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install letterboxd-watchlist using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Letterboxd Watchlist Scraper is a specialized tool designed to extract film titles and URLs from any public Letterboxd profile without requiring authentication. It effectively bridges the gap between web-based movie tracking and local data management, making it an essential addition to the Openclaw Skills library for cinephiles and developers alike.
This skill automates the tedious process of manual data entry by programmatically navigating through paginated watchlist results. By utilizing a robust regex-based parsing approach, it ensures that movie data is accurately captured and formatted for immediate use in other applications or personal databases.
To use this tool within the Openclaw Skills framework, ensure you have the uv package manager installed. Run the following commands from your terminal:
# Basic export to CSV
uv run scripts/scrape_watchlist.py <username> --out watchlist.csv
# Advanced export to JSONL with custom delays and retries
uv run scripts/scrape_watchlist.py <username> --out watchlist.jsonl --delay-ms 300 --timeout 30 --retries 2
The skill generates structured data in two primary formats depending on the file extension provided:
| Format | Fields | Description |
|---|---|---|
| CSV | title, link | Standard comma-separated values for spreadsheet compatibility. |
| JSONL | {"title": "...", "link": "..."} | One JSON object per line, ideal for programmatic processing. |
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