Cincopa

Cincopa is a photo & video hosting platform, offering various designs for slideshows, photo-galleries, video players, private video hosting solutions and more.

Integrate the Cincopa API with the Python API

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

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

Overview of Cincopa

The Cincopa API enables users to elevate their media content management by automating tasks and integrating with other services. With Cincopa, you can manipulate galleries, upload media, extract analytics, and manage your media assets in a programmatic way. When paired with Pipedream, this API becomes a powerhouse for creating seamless workflows that boost productivity and enhance content delivery, offering a rich set of triggers and actions to automate media operations.

Connect Cincopa

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: {
    cincopa: {
      type: "app",
      app: "cincopa",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.cincopa.com/v2/ping.json`,
      params: {
        api_token: `${this.cincopa.$auth.api_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

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}}