To scrape recipe ingredients for pantry tracking, you need a script or tool that extracts ingredient lists from recipe webpages and organizes them into a structured format (e.g., JSON or CSV). Here’s a Python-based approach using BeautifulSoup and requests, suitable for sites that allow scraping:
Key Features
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Ingredient Extraction: Looks for HTML elements likely to contain ingredients.
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Regex Filtering: Optionally refines the search using class names like
ingredient. -
Pantry Integration: You can further process
ingredientsto match against your pantry database (e.g., comparing “1 cup sugar” to inventory).
Optional Enhancements
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Normalize ingredient names (e.g., “1 cup sugar” → “sugar”).
-
Use NLP for better parsing (e.g.,
spaCy,langchain). -
Store results in a database or sync with a pantry app like
Grocy.
Let me know if you want this integrated into a pantry tracking system or turned into a web app.