Integrate the Withings API with the MongoDB API

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

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Popular Ways to Connect Withings with MongoDB#

Create New Document with MongoDB API on New Measure from Withings API

Withings + MongoDB

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Delete a Document with MongoDB API on New Measure from Withings API

Withings + MongoDB

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Execute Aggregation with MongoDB API on New Measure from Withings API

Withings + MongoDB

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Find Document by Id with MongoDB API on New Measure from Withings API

Withings + MongoDB

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Find Document with MongoDB API on New Measure from Withings API

Withings + MongoDB

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Popular Withings and MongoDB Triggers#

New Measure from the Withings API

Emit new event for each created measure. See docs here

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New Collection from the MongoDB API

Emit new an event when a new collection is added to a database

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New Database from the MongoDB API

Emit new an event when a new database is added

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New Document from the MongoDB API

Emit new an event when a new document is added to a collection

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New Field in Document from the MongoDB API

Emit new an event when a new field is added to a document

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Popular Withings and MongoDB Actions#

Create New Document with the MongoDB API

Create a new document in a collection of your choice. See the docs here

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Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

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Execute Aggregation with the MongoDB API

Execute an aggregation pipeline on a MongoDB collection. See the documentation

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Find Document with the MongoDB API

Finds a document by a query filter. See the documentation

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Find Document by Id with the MongoDB API

Retrieves a single document by ID. See the docs here

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Overview of Withings#

Withings API lets you tap into health and wellness data from Withings devices like smart scales, watches, and sleep trackers. The API enables you to fetch measurements such as weight, activity, sleep, and heart rate data. This data can inform personal health apps, trigger notifications for health milestones, or integrate with health coaching platforms. By leveraging Pipedream's power, you can automate workflows that react to this data, enriching user profiles, informing coaching decisions, or driving wellness-focused communities and challenges.

Connect Withings#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    withings: {
      type: "app",
      app: "withings",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://wbsapi.withings.net/measure`,
      headers: {
        Authorization: `Bearer ${this.withings.$auth.oauth_access_token}`,
      },
      params: {
        action: `getmeas`,
      },
    })
  },
})

Overview of MongoDB#

The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.

Connect MongoDB#

import mongodb from 'mongodb'

export default defineComponent({
  props: {
    mongodb: {
      type: "app",
      app: "mongodb",
    },
    collection: {
      type: "string"
    },
    filter: {
      type: "object"
    }
  },
  async run({steps, $}) {
    const MongoClient = mongodb.MongoClient
    
    const {
      database,
      hostname,
      username,
      password,
    } = this.mongodb.$auth
    
    const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
    const client = await MongoClient.connect(url, { 
      useNewUrlParser: true, 
      useUnifiedTopology: true 
    })
    
    const db = client.db(database)

    const results = await db.collection(this.collection).find(this.filter).toArray();
    $.export('results', results);
    
    await client.close()
  },
})

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