Integrate the Unsplash API with the Python API

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

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Popular Unsplash and Python Actions#

Get Photo with the Unsplash API

Get a specific photo from Unsplash. 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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Search Photos with the Unsplash API

Get a single page of photo results for a query. See the documentation

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Overview of Unsplash#

The Unsplash API provides programmatic access to a vast library of high-quality, royalty-free images. This enables developers to search for and retrieve photos based on keywords, collections, or featured content. With Pipedream's integration, you can automate tasks like updating social media banners, populating website content with dynamic images, or even analyzing photo metadata for insights. By leveraging Unsplash's API within Pipedream, you can create workflows that trigger on various events, process image data, and interact with countless other apps available on the platform, streamlining your digital asset management and content creation processes.

Connect Unsplash#

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

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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