Integrate the Cronfree API with the MongoDB API

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

Popular Ways to Connect Cronfree with MongoDB#

Create New Document with MongoDB API on New Message Received (Instant) from Cronfree API

Cronfree + MongoDB

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Delete a Document with MongoDB API on New Message Received (Instant) from Cronfree API

Cronfree + MongoDB

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Execute Aggregation with MongoDB API on New Message Received (Instant) from Cronfree API

Cronfree + MongoDB

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Find Document by Id with MongoDB API on New Message Received (Instant) from Cronfree API

Cronfree + MongoDB

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Find Document with MongoDB API on New Message Received (Instant) from Cronfree API

Cronfree + MongoDB

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Popular Cronfree and MongoDB Triggers#

New Message Received (Instant) from the Cronfree API

Emit new event when a new message is received. See the documentation

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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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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 Cronfree 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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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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Find Document by Id with the MongoDB API

Retrieves a single document by ID. See the docs here

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Overview of Cronfree#

The Cronfree API allows you to schedule tasks to run at specific intervals, similar to a traditional cron job, but with the flexibility of web-based management. On Pipedream, you can harness this API to trigger workflows on a schedule, offload periodic tasks from your apps, and integrate with other services to perform actions like sending emails, updating databases, or even automating social media posts.

Connect Cronfree#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cronfree: {
      type: "app",
      app: "cronfree",
    }
  },
  async run({steps, $}) {
    const data = {
      "hookUrl": `{{your_hook_url}}`,
      "license_key": `${this.cronfree.$auth.license_key}`,
      "wdays": `{{your_wdays}}`,
      "months": `{{your_months}}`,
      "hours": `{{your_hours}}`,
      "minutes": `{{your_minutes}}`,
      "timezone": `{{your_timezone}}`,
    }
    return await axios($, {
      method: "post",
      url: `https://login.cronfree.com/zapier/schedule`,
      headers: {
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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()
  },
})