Integrate the Pinterest API with the MongoDB API

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

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Popular Ways to Connect Pinterest with MongoDB#

Create a Pin with Pinterest API on New Collection from MongoDB API

MongoDB + Pinterest

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Create a Pin with Pinterest API on New Database from MongoDB API

MongoDB + Pinterest

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Create a Pin with Pinterest API on New Document from MongoDB API

MongoDB + Pinterest

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Create a Pin with Pinterest API on New Field in Document from MongoDB API

MongoDB + Pinterest

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Create New Document with MongoDB API on New Board Event from Pinterest API

Pinterest + MongoDB

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Popular Pinterest and MongoDB Triggers#

New Board Event from the Pinterest API

Emit new events when new boards are created. See the docs

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New Pin Event from the Pinterest API

Emit new events when new pins are created on a board or board section. See the docs here and 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 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 Pinterest and MongoDB Actions#

Create a Pin with the Pinterest API

Create a Pin on a board or board section, 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 Pinterest#

The Pinterest API opens a portal to interact programmatically with Pinterest's rich data, including boards, pins, and user information. By leveraging this API on Pipedream, you can automate actions like posting new pins, extracting pin data for analysis, and synchronizing Pinterest content with other platforms. The potential extends to marketing optimization, content management, and audience engagement, all automated and integrated within the Pipedream ecosystem.

Connect Pinterest#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pinterest: {
      type: "app",
      app: "pinterest",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pinterest.com/v5/user_account`,
      headers: {
        Authorization: `Bearer ${this.pinterest.$auth.oauth_access_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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