Integrate the SegMetrics API with the MongoDB API

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

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Popular Ways to Connect SegMetrics with MongoDB#

Create Or Update Contact with SegMetrics API on New Collection from MongoDB API

MongoDB + SegMetrics

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Create Or Update Contact with SegMetrics API on New Database from MongoDB API

MongoDB + SegMetrics

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Create Or Update Contact with SegMetrics API on New Document from MongoDB API

MongoDB + SegMetrics

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Create Or Update Contact with SegMetrics API on New Field in Document from MongoDB API

MongoDB + SegMetrics

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Create Or Update Order with SegMetrics API on New Collection from MongoDB API

MongoDB + SegMetrics

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Popular SegMetrics and MongoDB Triggers#

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 SegMetrics and MongoDB Actions#

Create Or Update Contact with the SegMetrics API

Create or update a contact. See documentation here

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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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Create Or Update Order with the SegMetrics API

Creates a client. See documentation 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 Or Update Subscription with the SegMetrics API

Create or update a subscription. See documentation here

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Overview of SegMetrics#

The SegMetrics API grants programmatic access to SegMetrics data, allowing users to extract detailed insights about their marketing efforts. With it, you can automate the retrieval of conversion data, contact lists, tags, and more, to better understand your marketing funnel performance. Leveraging Pipedream's processing capabilities, you can create intricate workflows that respond to this data in real-time, running logic or actions contingent on the insights you gain from SegMetrics.

Connect SegMetrics#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    segmetrics: {
      type: "app",
      app: "segmetrics",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.segmetrics.io/${this.segmetrics.$auth.account_id}/contact/{{YOUR_CONTACT_ID}}`,
      headers: {
        "Authorization": `${this.segmetrics.$auth.api_key}`,
      },
    })
  },
})

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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