Integrate the ScoreDetect API with the MongoDB API

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

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Popular Ways to Connect ScoreDetect with MongoDB#

Create Certificate from File with ScoreDetect API on New Collection from MongoDB API

MongoDB + ScoreDetect

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Create Certificate from File with ScoreDetect API on New Database from MongoDB API

MongoDB + ScoreDetect

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Create Certificate from File with ScoreDetect API on New Document from MongoDB API

MongoDB + ScoreDetect

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Create Certificate from File with ScoreDetect API on New Field in Document from MongoDB API

MongoDB + ScoreDetect

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Create Timestamped Blockchain Certificate with ScoreDetect API on New Collection from MongoDB API

MongoDB + ScoreDetect

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Popular ScoreDetect and MongoDB Triggers#

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 ScoreDetect and MongoDB Actions#

Create Certificate from File with the ScoreDetect API

Creates a timestamped blockchain certificate using a provided file (local or URL). 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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Create Timestamped Blockchain Certificate with the ScoreDetect API

Creates a timestamped blockchain certificate using the provided text. See the documentation

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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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Overview of ScoreDetect#

The ScoreDetect API provides real-time sports scores and stats, offering a treasure trove of data for sports enthusiasts, bettors, and developers building applications tied to sports events. With Pipedream, you can leverage this API to create serverless workflows that react to live sports data, integrating with countless other apps to automate notifications, update databases, sync with social media, or even trigger custom actions based on game events.

Connect ScoreDetect#

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

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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