Parse Nutrition Data Without Manual Entry
Food and nutrition startups manually parse recipes to extract calories, macros, and micronutrients. When you create an issue with a recipe or menu item, Notis automatically extracts the nutrition data and posts it as structured information you can use for labeling or marketing.
Trigger
Issue Created Trigger
Triggered when a new issue is created.
Action
Extract Nutrition Information
Tool to extract nutrition information from text query. use when you need to parse food-related text (e.g., recipes, menus) to calculate corresponding nutrition data.
Why this helps
Nutrition calculation is manual and error-prone. Each product requires parsing ingredients and calculating macros by hand.
- Nutrition data auto-extracted
- No manual macro calculation
- Faster product development
- Accurate labeling data
Setup
Build it in a few focused steps.
- 1Connect Linear and Api ninjas to Notis.
- 2Create an automation: 'When a product issue is created containing a recipe or ingredient list, extract the nutrition information (calories, protein, carbs, fats, fiber, etc.) from the text and post it as a structured nutrition summary.'
- 3Select 'Issue Created' as the trigger.
- 4Choose a Slack channel for nutrition data notifications.
- 5Test by creating an issue with a recipe 'Banana oat smoothie: 2 bananas, 1 cup oats, 1 cup milk' and verify nutrition data appears.
Questions about this workflow
How accurate is the nutrition extraction?
Notis uses USDA nutrition databases to parse ingredients and calculate macros. For regulatory compliance, verify with your lab testing.
What nutrients are included?
Calories, protein, carbohydrates, fat, fiber, sugar, sodium, and common vitamins/minerals based on ingredients.
When this happens · Trigger
Do this · Action
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Api ninjas actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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Connect any two apps with Notis in the middle.
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When this happens · Trigger
Do this · Action
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