Woodpecker.co

Woodpecker is an intuitive cold email tool for lead gen, sales & recruitment professionals. The tool allows you to automatically connect with your prospective clients or business partners.

Integrate the Woodpecker.co API with the MongoDB API

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

Create New Document with MongoDB API on New Email Opened (Instant) from Woodpecker.co API
Woodpecker.co + MongoDB
 
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Create New Document with MongoDB API on New Email Sent (Instant) from Woodpecker.co API
Woodpecker.co + MongoDB
 
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Create New Document with MongoDB API on New Follow-up After Autoreply (Instant) from Woodpecker.co API
Woodpecker.co + MongoDB
 
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Create New Document with MongoDB API on New Link Clicked (Instant) from Woodpecker.co API
Woodpecker.co + MongoDB
 
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Create New Document with MongoDB API on New Prospect Autoreplied (Instant) from Woodpecker.co API
Woodpecker.co + MongoDB
 
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New Email Opened (Instant) from the Woodpecker.co API

Emit new event when an email is opened see the 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 Email Sent (Instant) from the Woodpecker.co API

Emit new event when an email is sent see the docs here

 
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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 Follow-up After Autoreply (Instant) from the Woodpecker.co API

Emit new event when you get an autoreply and you set a date to resume follow-ups see the docs here

 
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Create Or Update Prospect with the Woodpecker.co API

This action creates/updates a prospect. See the docs 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 Prospect In Campaign with the Woodpecker.co API

This action creates/updates a prospect in a campaign. 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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Find Prospect's email with the Woodpecker.co API

This action searches a specific prospect. See the docs here

 
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Overview of Woodpecker.co

The Woodpecker.co API lets you automate your email outreach and follow-up processes. With it, you can manage contacts, campaigns, and emails programmatically, creating a seamless bridge between your email campaigns and your data. This API, integrated with Pipedream, unlocks powerful workflows that can save time, personalize communication at scale, and keep your data in sync across various platforms.

Connect Woodpecker.co

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    woodpecker_co: {
      type: "app",
      app: "woodpecker_co",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.woodpecker.co/rest/v1/campaign_list`,
      auth: {
        username: `${this.woodpecker_co.$auth.api_key}`,
        password: ``,
      },
    })
  },
})

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()
  },
})