Strava

Designed by athletes, for athletes, Strava's mobile app and website connect millions of runners and cyclists through the sports they love.

Integrate the Strava API with the MongoDB API

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

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Create New Document with MongoDB API on New Activity Created Event from Strava API
Strava + MongoDB
 
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Delete a Document with MongoDB API on New Activity Created Event from Strava API
Strava + MongoDB
 
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Execute Aggregation with MongoDB API on New Activity Created Event from Strava API
Strava + MongoDB
 
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Find Document by Id with MongoDB API on New Activity Created Event from Strava API
Strava + MongoDB
 
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Find Document with MongoDB API on New Activity Created Event from Strava API
Strava + MongoDB
 
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New Activity Created Event from the Strava API

Emit new event when a new activity is created

 
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New Activity Updated Event from the Strava API

Emit new event when an activity is updated

 
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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 Activity Deleted Event from the Strava API

Emit new event when an activity is deleted

 
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New Database from the MongoDB API

Emit new an event when a new database is added

 
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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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Create Activity with the Strava API

Creates a manual activity for an athlete. See the docs

 
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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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Get Activity By ID with the Strava API

Returns the given activity that is owned by the authenticated athlete. See the docs

 
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Overview of Strava

The Strava API lets you tap into the robust data from Strava's fitness app, which is a playground for athletes worldwide to track their workouts. With Pipedream, you can automate actions based on activities uploaded to Strava, such as running, biking, or swimming. Imagine syncing workout data to spreadsheets for analysis, auto-posting achievements to social media, or integrating with calendar apps for better scheduling. Pipedream's serverless platform makes it a breeze to create workflows that can listen for Strava webhooks, process data, and trigger actions in countless other apps.

Connect Strava

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    strava: {
      type: "app",
      app: "strava",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.strava.com/api/v3/athlete`,
      headers: {
        Authorization: `Bearer ${this.strava.$auth.oauth_access_token}`,
      },
    })
  },
})

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

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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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