Integrate the APIVerve API with the Python API

APIVerve

APIVerve provides a versatile collection of APIs designed to enhance your applications with functionalities spanning various domains. With a single API key, you can access a multitude of services, simplifying integration and accelerating development. APIVerve ensures high availability and scalability, allowing you to build robust solutions efficiently

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

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Popular APIVerve and Python Actions#

DNS Lookup with the APIVerve API

Look up the DNS records of a domain. 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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Get Dictionary Definition with the APIVerve API

Get the definition of a word. See the documentation

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Get Weather with the APIVerve API

Return the temperature, humidity, and more for a given location. See the documentation

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IP Blacklist Lookup with the APIVerve API

Lookup if an IP address is in a blacklist. See the documentation

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Connect APIVerve#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    apiverve: {
      type: "app",
      app: "apiverve",
    }
  },
  async run({steps, $}) {
    const data = {
      "value": `https://pipedream.com/`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.apiverve.com/v1/qrcodegenerator`,
      headers: {
        "x-api-key": `${this.apiverve.$auth.api_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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