Encodian

Maximise your Microsoft investment.

Integrate the Encodian API with the Python API

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

Compare Text with the Encodian API

Compares two texts answering if they are equal or not. See the documentation

 
Try it
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.

 
Try it
Validate Email with the Encodian API

Validate the syntax of an email address. See the documentation

 
Try it
Validate URL with the Encodian API

Validate the availability of the URL. See the documentation

 
Try it

Overview of Encodian

The Encodian API provides robust document management and manipulation capabilities, enabling users to convert, merge, split, OCR, and watermark documents. This API integrates smoothly with Pipedream, allowing for the automation of document processing tasks within various workflows. By leveraging Encodian with Pipedream, users can create efficient automations that handle large volumes of documents, reducing manual effort and improving productivity in document-centric processes.

Connect Encodian

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    encodian: {
      type: "app",
      app: "encodian",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.apps-encodian.com/api/v1/Mgmt/GetSubscriptionStatus`,
      headers: {
        "X-ApiKey": `${this.encodian.$auth.encodian_flowr_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

1
2
3
4
5
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}}