Integrate the Gainsight API with the Python API

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

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Popular Gainsight and Python Actions#

Create or Update Company with the Gainsight API

Create or update a company record. See the documentation

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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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Create or Update Custom Object with the Gainsight API

Create or update a custom object record. See the documentation

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Create or Update Person with the Gainsight API

Create or update a person's record. See the documentation

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Connect Gainsight#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    gainsight_nxt: {
      type: "app",
      app: "gainsight_nxt",
    }
  },
  async run({steps, $}) {
    const data = {
    
    
    "includeTotal": true,
    "limit": 25,
    "page": 0,
    "orderBy": {
         "ModifiedDate": "desc"
    },
    "select": [
         "Name",
         "SFDCUserName",
         "Email",
         "IsSuperAdmin",
         "ModifiedDate",
         "LicenseType"
    ]
    }
    return await axios($, {
      method: "post",
      url: `${this.gainsight_nxt.$auth.customer_domain}/v1/users/services/list`,
      headers: {
        "content-type": `application/json`,
        "accept": `application/json, text/plain, */*`,
        "accept-language": `en-GB,en-US;q=0.9,en;q=0.8`,
        "accesskey": `${this.gainsight_nxt.$auth.access_key}`,
      },
      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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