InsertChat

Best AI Chatbot Creator With Your Data And Brand.

Integrate the InsertChat API with the Python API

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

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Run Python Code with Python API on New AI Chatbot from InsertChat API
InsertChat + Python
 
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Run Python Code with Python API on New Chat Session from InsertChat API
InsertChat + Python
 
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Run Python Code with Python API on New Lead Created from InsertChat API
InsertChat + Python
 
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New AI Chatbot from the InsertChat API

Emit new event when a new AI chatbot is created.

 
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New Chat Session from the InsertChat API

Emit new event when a new chat session is initiated.

 
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New Lead Created from the InsertChat API

Emit new event when a new lead is created.

 
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Create Lead with the InsertChat API

Creates a new lead within Insertchat. 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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Delete Lead with the InsertChat API

Deletes an existing lead from InsertChat. See the documentation

 
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Push Message to Existing Chat with the InsertChat API

Pushes a new message into an existing chat session in InsertChat. See the documentation

 
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Connect InsertChat

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    insertchat: {
      type: "app",
      app: "insertchat",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.insertchat.com/v1/${this.insertchat.$auth.app_uid}/accounts`,
      headers: {
        Authorization: `Bearer ${this.insertchat.$auth.oauth_access_token}`,
      },
    })
  },
})

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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo