Integrate the Rosette Text Analytics API with the Python API

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

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Popular Rosette Text Analytics and Python Actions#

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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Overview of Rosette Text Analytics#

The Rosette Text Analytics API brings advanced language processing to the table, allowing you to extract entities, relationships, and sentiment from text. With Pipedream, you can integrate this powerful text analysis into your workflows, triggering actions based on the insights extracted from documents, social media posts, customer feedback, and more. You can use it to enrich CRM data, automate content moderation, or even drive market research by sentiment analysis.

Connect Rosette Text Analytics#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rosette_text_analytics: {
      type: "app",
      app: "rosette_text_analytics",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.rosette.com/rest/v1/ping`,
      headers: {
        "X-RosetteAPI-Key": `${this.rosette_text_analytics.$auth.api_key}`,
      },
    })
  },
})

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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