Integrate the Leadfeeder API with the MongoDB API

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

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Popular Ways to Connect Leadfeeder with MongoDB#

Create New Document with MongoDB API on New Lead Created from Leadfeeder API

Leadfeeder + MongoDB

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Create New Document with MongoDB API on New Recurring Lead from Leadfeeder API

Leadfeeder + MongoDB

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Delete a Document with MongoDB API on New Lead Created from Leadfeeder API

Leadfeeder + MongoDB

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Delete a Document with MongoDB API on New Recurring Lead from Leadfeeder API

Leadfeeder + MongoDB

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Execute Aggregation with MongoDB API on New Lead Created from Leadfeeder API

Leadfeeder + MongoDB

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Popular Leadfeeder and MongoDB Triggers#

New Lead Created from the Leadfeeder API

Emit new event when a new lead is created. See the docs

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New Recurring Lead from the Leadfeeder API

Emit new event when a lead is recurred. See the docs

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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 Leadfeeder and MongoDB Actions#

Find Lead with the Leadfeeder API

Retrieves a specific lead. See the docs.

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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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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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Overview of Leadfeeder#

Leadfeeder is a tool that reveals the companies visiting your website and how they interact with your content. By harnessing the power of the Leadfeeder API on Pipedream, you can automate the process of capturing lead data and integrating it directly into your sales and marketing workflows. This can range from enriching CRM records to triggering custom email campaigns based on visitor behavior, enabling a more dynamic and responsive engagement with potential customers.

Connect Leadfeeder#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    leadfeeder: {
      type: "app",
      app: "leadfeeder",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.leadfeeder.com/accounts`,
      headers: {
        "Authorization": `Token ${this.leadfeeder.$auth.api_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#

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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