Scrapling
Scrapling lets you turn a single URL or a whole site into structured data with a few CLI commands, handling pagination, JS rendering, and data extraction automatically.
- •You need to pull product listings, pricing or reviews from a competitor’s site without writing a custom scraper.
- •You have to harvest public data from a paginated directory (e.g., startup databases, event listings) on a schedule.
- •You want a quick proof‑of‑concept that can handle JavaScript‑heavy pages and then scale to a full crawl.
python -m scrapling run my_job.yaml --output startups.json --concurrency 5 --max-pages 200
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/scrapling && curl -fsSL https://workflowstacks.com/api/skills/scrapling/claude-skill -o ~/.claude/skills/scrapling/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Scrapling is a large Python project (~17k lines across 64 code files, plus 62 test files). Setup is light: runs with Docker. Last commit this month, BSD-3-Clause license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2scrapling/cli.pyWhere the program starts running
- 3pyproject.tomlDependencies and the commands it exposes
- 4scrapling/__init__.pyInside scrapling/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/scrapling && curl -fsSL https://workflowstacks.com/api/skills/scrapling/claude-skill -o ~/.claude/skills/scrapling/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.
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