Integrate the MonkeyLearn API with the Python API

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

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Popular MonkeyLearn and Python Actions#

Classify Text with the MonkeyLearn API

Classifies texts with a given classifier. See the docs here

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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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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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,
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

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