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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

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.

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