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basil/packages/api/scripts/scrape_recipe.py
Paul R Kartchner 0945d8f3e1
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feat: upgrade recipe scraper to Python recipe-scrapers library (v2025.10.1)
## Changes

### Recipe Scraper Enhancement
- Replaced custom Cheerio-based scraper with Python recipe-scrapers library
- Now supports 541+ recipe websites (same as Mealie)
- Added Python 3 and recipe-scrapers to Docker container
- Created Python wrapper script (packages/api/scripts/scrape_recipe.py)
- Updated scraper service to call Python script via subprocess

### Bug Fixes
- Fixed servings field parsing (string to integer conversion)
- Added safe extraction with graceful error handling
- Removed obsolete test file that was breaking builds
- Fixed Prisma binary targets for Alpine Linux

### Infrastructure
- Added Traefik configuration for HTTPS with Let's Encrypt
- Updated CORS settings for production domain
- Configured for basil.pkartchner.com

### Version Management
- Implemented CalVer versioning (Year.Month.Increment)
- Added VERSION file (2025.10.1)
- Created version.sh script for managing releases
- Tagged and pushed Docker images to Harbor registry

### Database
- Updated Prisma schema with correct binary targets
- Applied initial migration for all tables

### Build Improvements
- Excluded test files from TypeScript compilation
- Removed non-existent dependencies
- Optimized Docker build process

## Testing
- Successfully tested with Food Network, Bon Appetit, Food.com
- Verified full import and save workflow
- Confirmed ingredients and instructions display correctly

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-28 17:51:39 +00:00

93 lines
2.9 KiB
Python

#!/usr/bin/env python3
"""
Recipe scraper script using the recipe-scrapers library.
This script is called by the Node.js API to scrape recipes from URLs.
"""
import sys
import json
from recipe_scrapers import scrape_me
def safe_extract(scraper, method_name, default=None):
"""Safely extract data from scraper, returning default if method fails."""
try:
if hasattr(scraper, method_name):
result = getattr(scraper, method_name)()
return result if result else default
return default
except Exception:
return default
def parse_servings(servings_str):
"""Parse servings string into an integer. Returns None if can't parse."""
if not servings_str:
return None
try:
# Extract first number from string like "8 servings" or "Serves 8"
import re
match = re.search(r'\d+', str(servings_str))
if match:
return int(match.group())
return None
except Exception:
return None
def scrape_recipe(url):
"""Scrape a recipe from the given URL and return JSON data."""
try:
scraper = scrape_me(url)
# Extract recipe data with safe extraction
recipe_data = {
"success": True,
"recipe": {
"title": scraper.title(),
"description": safe_extract(scraper, 'description'),
"totalTime": safe_extract(scraper, 'total_time'),
"prepTime": None, # recipe-scrapers doesn't separate prep time
"cookTime": None, # recipe-scrapers doesn't separate cook time
"servings": parse_servings(safe_extract(scraper, 'yields')),
"imageUrl": safe_extract(scraper, 'image'),
"author": safe_extract(scraper, 'author'),
"cuisine": safe_extract(scraper, 'cuisine'),
"category": safe_extract(scraper, 'category'),
"rating": None, # Not commonly available
"ingredients": [
{
"name": ingredient,
"order": i
}
for i, ingredient in enumerate(scraper.ingredients())
],
"instructions": [
{
"step": i + 1,
"text": instruction
}
for i, instruction in enumerate(scraper.instructions_list())
]
}
}
return recipe_data
except Exception as e:
return {
"success": False,
"error": str(e),
"recipe": {}
}
if __name__ == "__main__":
if len(sys.argv) < 2:
print(json.dumps({
"success": False,
"error": "No URL provided",
"recipe": {}
}))
sys.exit(1)
url = sys.argv[1]
result = scrape_recipe(url)
print(json.dumps(result))