Integrate the Interseller API with the MongoDB API

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

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Popular Ways to Connect Interseller with MongoDB#

Create New Document with MongoDB API on New Contact from Interseller API

Interseller + MongoDB

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Create New Document with MongoDB API on New Contact Replied from Interseller API

Interseller + MongoDB

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Delete a Document with MongoDB API on New Contact from Interseller API

Interseller + MongoDB

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Delete a Document with MongoDB API on New Contact Replied from Interseller API

Interseller + MongoDB

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Execute Aggregation with MongoDB API on New Contact from Interseller API

Interseller + MongoDB

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Popular Interseller and MongoDB Triggers#

New Contact from the Interseller API

Emit new event when a new contact is created in Interseller.

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New Contact Replied from the Interseller API

Emit new event when a contact is replied.

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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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Popular Interseller 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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Set Contact Replied with the Interseller API

Update an existing contact to indicate as contacted. See the documentation

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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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Update Contact with the Interseller API

Update an existing contact. See the documentation

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Overview of Interseller#

The Interseller API provides the power to streamline recruitment and sales processes by automating outreach and follow-ups. With Pipedream, you can leverage this API to create workflows that trigger based on specific criteria such as new candidate profiles or responses to outreach emails. These workflows can enrich lead data, sync information across platforms, or update your team with real-time notifications, reducing manual tasks and enhancing productivity.

Connect Interseller#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    interseller: {
      type: "app",
      app: "interseller",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `http://interseller.io/api/team/users`,
      headers: {
        "X-API-Key": `${this.interseller.$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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