Integrate the AWS API with the MonkeyLearn API

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

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Popular Ways to Connect AWS with MonkeyLearn#

Classify Text with MonkeyLearn API on New Scheduled Tasks from AWS API

AWS + MonkeyLearn

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Classify Text with MonkeyLearn API on New SNS Messages from AWS API

AWS + MonkeyLearn

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Extract Text with MonkeyLearn API on New Scheduled Tasks from AWS API

AWS + MonkeyLearn

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Extract Text with MonkeyLearn API on New SNS Messages from AWS API

AWS + MonkeyLearn

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Upload Training Data with MonkeyLearn API on New Scheduled Tasks from AWS API

AWS + MonkeyLearn

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Popular AWS and MonkeyLearn Triggers#

New Scheduled Tasks from the AWS API

Creates a Step Function State Machine to publish a message to an SNS topic at a specific timestamp. The SNS topic delivers the message to this Pipedream source, and the source emits it as a new event.

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New SNS Messages from the AWS API

Creates an SNS topic in your AWS account. Messages published to this topic are emitted from the Pipedream source.

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New Inbound SES Emails from the AWS API

The source subscribes to all emails delivered to a specific domain configured in AWS SES. When an email is sent to any address at the domain, this event source emits that email as a formatted event. These events can trigger a Pipedream workflow and can be consumed via SSE or REST API.

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New Deleted S3 File from the AWS API

Emit new event when a file is deleted from a S3 bucket

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New DynamoDB Stream Event from the AWS API

Emit new event when a DynamoDB stream receives new events. See the docs here

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Popular AWS and MonkeyLearn Actions#

Classify Text with the MonkeyLearn API

Classifies texts with a given classifier. See the docs here

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Extract Text with the MonkeyLearn API

Extracts information from texts with a given extractor. See the docs here

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Upload Training Data with the MonkeyLearn API

Uploads data to a classifier. This component can be used to upload new data to a classifier, to update the tags of texts that have already been uploaded, or both. See the docs here

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CloudWatch Logs - Put Log Event with the AWS API

Uploads a log event to the specified log stream. See docs

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DynamoDB - Create Table with the AWS API

Creates a new table to your account. See docs

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Overview of AWS#

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Connect AWS#

import AWS from 'aws-sdk'

export default defineComponent({
  props: {
    aws: {
      type: "app",
      app: "aws",
    }
  },
  async run({steps, $}) {
    const { accessKeyId, secretAccessKey } = this.aws.$auth
    
    /* Now, pass the accessKeyId and secretAccessKey to the constructor for your desired service. For example:
    
    const dynamodb = new AWS.DynamoDB({
      accessKeyId, 
      secretAccessKey,
      region: 'us-east-1',
    })
    
    */
  },
})

Overview of MonkeyLearn#

MonkeyLearn is a text analysis platform that employs machine learning to extract and process data from chunks of text. By leveraging the MonkeyLearn API on Pipedream, you can automate the categorization of text, extract specific data, analyze sentiment, and more, all in real-time. This enables the development of powerful custom workflows that can analyze customer feedback, automate email processing, or provide insightful analytics on textual data from various sources.

Connect MonkeyLearn#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    monkeylearn: {
      type: "app",
      app: "monkeylearn",
    }
  },
  async run({steps, $}) {
    const data = {
      "data": [
        "This is a great tool!",
      ]
    }
    
    return await axios($, {
      method: "post",
      url: `https://api.monkeylearn.com/v3/classifiers/cl_pi3C7JiL/classify/`,
      headers: {
        "Authorization": `Token ${this.monkeylearn.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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