Airparser

Revolutionize data extraction with the GPT-powered document parser.

Integrate the Airparser API with the MongoDB API

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

Create New Document with MongoDB API on New Document Parsed from Airparser API
Airparser + MongoDB
 
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Delete a Document with MongoDB API on New Document Parsed from Airparser API
Airparser + MongoDB
 
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Execute Aggregation with MongoDB API on New Document Parsed from Airparser API
Airparser + MongoDB
 
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Extract Data from Document with Airparser API on New Collection from MongoDB API
MongoDB + Airparser
 
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Extract Data from Document with Airparser API on New Database from MongoDB API
MongoDB + Airparser
 
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New Document Parsed from the Airparser API

Emit new event when a document is parsed. 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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Extract Data from Document with the Airparser API

Extracts structured data based on a user-predefined extraction schema. See the documentation

 
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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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Upload Document and Parse with the Airparser API

Uploads a document into the inbox for data extraction. 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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Overview of Airparser

The Airparser API simplifies the process of extracting data from emails, such as order confirmations, shipping notifications, or any structured email content. By transforming emails into structured data, it enables seamless integration of email data into various workflows. On Pipedream, you can leverage this API to create automations that act on the parsed data—like updating databases, triggering notifications, or integrating with other apps and services.

Connect Airparser

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

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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()
  },
})