feat: add recipe scraping script and update Docker image

- scripts/scrape-recipe: Python script using recipe-scrapers to extract
  schema.org JSON-LD from a recipe URL (or local HTML file for testing)
- Dockerfile: add Python3 + recipe-scrapers in virtualenv, install the
  scrape-recipe script at /usr/local/bin/scrape-recipe

scripts/scrape-recipe

@@ -0,0 +1,73 @@
+#!/usr/bin/env python3
+"""Extract recipe schema.org JSON-LD from a recipe URL.
+
+Uses the recipe-scrapers library (https://github.com/hhursev/recipe-scrapers)
+to download a recipe page and extract the schema.org JSON-LD recipe data.
+
+Outputs the raw schema.org JSON-LD to stdout as a JSON object suitable for
+parsing by Roux's SchemaOrg Haskell types.
+
+Usage:
+    ./scripts/scrape-recipe <url>
+    ./scripts/scrape-recipe --html <file> <url>   # Use pre-fetched HTML
+
+Examples:
+    ./scripts/scrape-recipe https://cooking.nytimes.com/recipes/12177-fried-rice
+    ./scripts/scrape-recipe --html fried-rice.html https://example.com/recipe
+"""
+
+import argparse
+import json
+import sys
+
+from recipe_scrapers import scrape_html
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(
+        description="Extract schema.org JSON-LD from a recipe URL"
+    )
+    parser.add_argument("url", help="URL of the recipe")
+    parser.add_argument(
+        "--html",
+        metavar="FILE",
+        help="Read HTML from FILE instead of downloading (for testing)",
+    )
+    parser.add_argument(
+        "--pretty",
+        action="store_true",
+        help="Pretty-print the JSON output",
+    )
+    args = parser.parse_args()
+
+    try:
+        if args.html:
+            with open(args.html) as f:
+                html = f.read()
+            scraper = scrape_html(html=html, org_url=args.url, online=False)
+        else:
+            # Download the page and scrape it
+            scraper = scrape_html(html=None, org_url=args.url, online=True)
+
+        # Extract the raw schema.org data from the scraper
+        schema = getattr(scraper, "schema", None)
+        if schema is None:
+            print("Error: scraper has no schema data", file=sys.stderr)
+            sys.exit(1)
+
+        data: dict = schema.data
+        if not data:
+            print("Error: schema data is empty", file=sys.stderr)
+            sys.exit(1)
+
+        indent = 2 if args.pretty else None
+        json.dump(data, sys.stdout, indent=indent, ensure_ascii=False)
+        sys.stdout.write("\n")
+
+    except Exception as e:
+        print(f"Error: {e}", file=sys.stderr)
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()