Build a normalized recipe catalog dataset
Created by
Stas Persiianenko
Process a batch of public recipe URLs for meal planning, nutrition analysis, recommendations, RAG, or catalog synchronization.
Universal Recipe Data Scraperautomation-lab/universal-recipe-data-scraper
Recipe
Canonical URL
Author
Prep
+9 fieldsTextNumberBooleanListObject
Input
Recipe page URLs(required)
url:https://www.bbcgoodfood.com/recipes/easy-pancakes+4
Maximum recipes:100
Maximum concurrency:3
Include raw Recipe JSON-LD:true
Normalize text whitespace:true
Output fields
Recipe
Canonical URL
Author
Prep
Cook
Total
Yield
Category
Cuisine
Ingredients
Rating
Source
Scraped
Sign up on Apify01
Create your Apify account to access the Universal Recipe Data Scraper.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
