Integrate the Bland AI API with the Python API

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

Popular Bland AI and Python Actions#

Analyze Call with the Bland AI API

Analyzes an input call, extracting structured data and providing insights. 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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End Call with the Bland AI API

Terminates a currently ongoing call using Bland AI. See the documentation

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Get Transcript with the Bland AI API

Retrieves the transcript of a specified call post-completion. See the documentation

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Overview of Bland AI#

The Bland AI API offers a suite of artificial intelligence services, which, when integrated with Pipedream, can automate tasks, analyze data, and enhance applications with machine learning capabilities. Through Pipedream's serverless platform, you can connect Bland AI with various apps to create custom workflows, process data, and respond to events in real time without managing infrastructure.

Connect Bland AI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bland_ai: {
      type: "app",
      app: "bland_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.bland.ai/v1/calls`,
      headers: {
        "Authorization": `${this.bland_ai.$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}}