Integrate the SalesLens API with the Python API

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

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Popular SalesLens and Python Actions#

Upload Conversation Recording with the SalesLens API

Uploads a conversation recording. 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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Upload Conversation Transcription with the SalesLens API

Uploads a transcript of the conversation. See the documentation

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Overview of SalesLens#

SalesLens is an analytics platform designed to help you understand and engage with your customers. By analyzing customer interactions, SalesLens provides insights that can lead to more effective sales strategies and improved customer engagement. With the SalesLens API, you can access customer data, manage accounts, and trigger personalized actions based on customer behavior. In Pipedream, you can leverage this capability to create automated workflows that respond to data events in real-time, integrate with other apps, or process large datasets asynchronously.

Connect SalesLens#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    saleslens: {
      type: "app",
      app: "saleslens",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.saleslens.io/api/access_token/employees`,
      headers: {
        "Authorization": `${this.saleslens.$auth.api_token}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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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