ssc-codegen
Code generator for web scraping parsers. Describe HTML extraction rules in a declarative KDL 2.0 DSL, then generate ready-to-use parser code for multiple languages and libraries.
.kdl schema --> [kdl parser] --> AST --> [linter] --> [converter] --> output code
Features
- Declarative DSL based on KDL 2.0 syntax
- Static type checking and linting before code generation
- Multiple output targets: Python (bs4, lxml, parsel, selectolax), JavaScript (DOM API)
- Struct types:
item,list,dict,table,flat - LLM-friendly: system prompt + linter loop for AI-assisted schema generation
Install
uv tool install ssc_codegen
Quick example
books.kdl:
(list)struct Book {
@split-doc { css-all ".product-card" }
title { css ".title"; text }
price { css ".price"; text; re #"(\d+\.\d+)"#; to-float }
url { css "a[href]"; attr "href"; fallback #null }
}
Generate Python parser:
ssc-gen generate books.kdl -l python -L bs4 -o ./output
Usage
Generate code
# single file (Python + bs4)
ssc-gen generate schema.kdl -l python -L bs4 -o ./output
# all .kdl files in a directory (JavaScript)
ssc-gen generate examples/ -l js -o ./output
# with custom package name
ssc-gen generate schema.kdl -l python -L bs4 -o ./parsers --package scraper
# with @request support (REST/HTTP codegen)
ssc-gen generate schema.kdl -l python -L bs4 -o ./out --http-client httpx
# extract helper functions into a separate runtime module
ssc-gen generate schema.kdl -l python -L bs4 -o ./out -R
Languages (--lang / -l): python, js.
HTML libraries (--lib / -L, Python only): bs4 (default), lxml, parsel, slax.
Lint schemas
# human-readable output
ssc-gen check schema.kdl
# JSON output (for LLM pipelines)
ssc-gen check schema.kdl -f json
# check all files in a directory
ssc-gen check examples/
Test schema against HTML
# from file
ssc-gen run examples/booksToScrape.kdl:MainCatalogue -l python -L bs4 -i page.html
# from stdin
curl https://books.toscrape.com/ | ssc-gen run examples/booksToScrape.kdl:MainCatalogue -l python -L bs4
Health check (verify selectors match elements)
# from file
ssc-gen health examples/booksToScrape.kdl:MainCatalogue -i page.html
# from stdin
curl https://books.toscrape.com/ | ssc-gen health examples/booksToScrape.kdl:MainCatalogue
Documentation
- Quick start
- Syntax and file structure
- Type system
- Pipeline operations
- Predicates and logic
- JSON schemas and jsonify
- @request — HTTP constructor + REST clients
- LLM-compact reference -- full DSL spec in one file for LLM context
- Examples
LLM integration
LLM agents can generate and validate .kdl schemas automatically using the
linter feedback loop.
In chats (ChatGPT, Claude, etc.)
Use SYSTEM_PROMPT.md as system prompt. After generation,
run ssc-gen check -f json and send errors back to the LLM for correction.
In AI-powered IDEs (Claude Code, Cursor, opencode, etc.)
Use the skills under .agents/skills/:
sscgen-dsl— HTML scraping schemas (css,text,(item)struct,(list)struct,(table)struct, predicates,jsonify).sscgen-rest— REST/JSON API clients ((rest)struct,@request,@error, typed placeholders).sscgen-openapi— convert OpenAPI/Swagger specs into.kdl.
Development
uv sync # install dependencies
uv build --wheel # build wheel
uv run pytest # run tests
uv run ruff check ssc_codegen/
Test dependencies
Python tests require only uv sync. JS integration tests additionally need:
npm install # installs jsdom (dev dependency in package.json)
Node.js must be installed and available as node in PATH. JS tests are automatically skipped if Node.js is not found.
1 maintainer
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