Integrate the Spoonacular API with the Python API

Setup the Spoonacular API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Spoonacular and Python remarkably fast. Free for developers.

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Popular Spoonacular and Python Actions#

Convert Measurements with the Spoonacular API

Converts a measurements. See docs here

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Create Meal Plan with the Spoonacular API

Creates a meal plan. See docs here

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Search Recipes with the Spoonacular API

Search for a recipe. See docs here

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Overview of Spoonacular#

The Spoonacular API is a robust culinary interface that can enhance apps with food and nutrition data. With rich endpoints for recipes, ingredients, and meal planning, developers can automate content creation, manage diet tracking, or enrich e-commerce platforms. Pipedream's serverless platform empowers you to create custom Spoonacular workflows, linking with other APIs and services to streamline tasks, like auto-generating shopping lists or scheduling weekly meal plans based on dietary preferences.

Connect Spoonacular#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    spoonacular: {
      type: "app",
      app: "spoonacular",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.spoonacular.com/recipes/complexSearch`,
      headers: {
        "Content-Type": `application/json`,
        "x-api-key": `${this.spoonacular.$auth.api_key}`,
      },
      params: {
        query: `{your_query}`,
      },
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

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