Integrate the Symbl.ai API with the Python API

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

Popular Symbl.ai and Python Actions#

Create Formatted Transcript with the Symbl.ai API

Create formatted transcript from the Conversation. See the doc 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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Delete Conversation with the Symbl.ai API

Permanently deletes the conversation and all related entities such as messages, insights, topics, etc. See the doc here.

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Get Action Items with the Symbl.ai API

Get a list of all the action items generated from the conversation. See the doc here

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Get Analytics with the Symbl.ai API

Get a list of metrics and member analytics (speaker ratio, talk time, silence, pace and overlap) from the conversation. See the doc here

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Overview of Symbl.ai#

The Symbl.ai API supercharges your applications with advanced conversation intelligence. By tapping into Symbl.ai via Pipedream, you can automate the analysis of voice, text, and video communications. Extract actionable items, follow-ups, and insights in real-time or from recorded content. This API's magic lies in its ability to provide contextually relevant insights, topic detection, sentiment analysis, and conversation metrics without extensive training data or setup time.

Connect Symbl.ai#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    symbl_ai: {
      type: "app",
      app: "symbl_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.symbl.ai/v1/manage/trackers`,
      headers: {
        Authorization: `Bearer ${this.symbl_ai.$auth.oauth_access_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}}