Browse AI

The easiest way to extract structured data from any website with no coding.

Integrate the Browse AI API with the MongoDB API

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

Create New Document with MongoDB API on Task Completed (Instant) from Browse AI API
Browse AI + MongoDB
 
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Create New Document with MongoDB API on Task Finished With Error (Instant) from Browse AI API
Browse AI + MongoDB
 
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Delete a Document with MongoDB API on Task Completed (Instant) from Browse AI API
Browse AI + MongoDB
 
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Delete a Document with MongoDB API on Task Finished With Error (Instant) from Browse AI API
Browse AI + MongoDB
 
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Execute Aggregation with MongoDB API on Task Completed (Instant) from Browse AI API
Browse AI + MongoDB
 
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Task Completed (Instant) from the Browse AI API

Emits an event when a Browse AI task is completed. See the documentation

 
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Task Finished With Error (Instant) from the Browse AI API

Emit new event when a task finishes with an error. 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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Execute Task with the Browse AI API

Runs a robot on-demand with custom input parameters. 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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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 Browse AI

The Browse AI API enables the automation of data extraction from websites, turning web pages into organized data. It's built for non-coders and coders alike, allowing for custom web scraping and monitoring tasks. Within Pipedream, you can harness Browse AI to create intricate workflows that trigger actions in other apps based on the data you extract. Think of automated competitive analysis, price tracking, or content changes detection, all streamlined through Pipedream's serverless platform.

Connect Browse AI

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    browse_ai: {
      type: "app",
      app: "browse_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.browse.ai/v2/robots`,
      headers: {
        Authorization: `Bearer ${this.browse_ai.$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()
  },
})