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Spoonacular

Free meal planner with nutritional info. Save recipes from any site. All Your Food. One Place

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PostgreSQL

Integrate the Spoonacular API with the PostgreSQL API

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

Popular Ways to Connect Spoonacular with PostgreSQL

Convert Measurements with Spoonacular API on New Column from PostgreSQL API
PostgreSQL + Spoonacular
 
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Convert Measurements with Spoonacular API on New or Updated Row from PostgreSQL API
PostgreSQL + Spoonacular
 
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Convert Measurements with Spoonacular API on New Row Custom Query from PostgreSQL API
PostgreSQL + Spoonacular
 
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Convert Measurements with Spoonacular API on New Row from PostgreSQL API
PostgreSQL + Spoonacular
 
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Convert Measurements with Spoonacular API on New Table from PostgreSQL API
PostgreSQL + Spoonacular
 
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Popular Spoonacular and PostgreSQL Triggers

New Column from the PostgreSQL API

Emit new event when a new column is added to a table. See the documentation

 
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New or Updated Row from the PostgreSQL API

Emit new event when a row is added or modified. See the documentation

 
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New Row from the PostgreSQL API

Emit new event when a new row is added to a table. See the documentation

 
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New Row Custom Query from the PostgreSQL API

Emit new event when new rows are returned from a custom query that you provide. See the documentation

 
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New Table from the PostgreSQL API

Emit new event when a new table is added to the database. See the documentation

 
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Popular Spoonacular and PostgreSQL Actions

Convert Measurements with the Spoonacular API

Converts a measurements. See docs here

 
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Delete Row(s) with the PostgreSQL API

Deletes a row or rows from a table. See the documentation

 
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Create Meal Plan with the Spoonacular API

Creates a meal plan. See docs here

 
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Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. See the documentation

 
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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

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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 PostgreSQL

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Connect PostgreSQL

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import postgresql from "@pipedream/postgresql"

export default defineComponent({
  props: {
    postgresql,
  },
  async run({ steps, $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql

    const queryObj = {
      text: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.postgresql.executeQuery(queryObj);
    return rows;
  },
})
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