Integrate the Giphy API with the Python API

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

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Popular Giphy and Python Actions#

Search Gifs/Stickers with the Giphy API

Searches all GIPHY gifs or stickers for a word or phrase. See the docs here.

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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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Translate a Word to a Gif/Sticker with the Giphy API

Translates or convert a word or phrase to the perfect Gif or Sticker using GIPHY's special sauce algorithm. See the docs here.

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Upload a Gif with the Giphy API

Uploads a Gif or video file up to 100MB programmatically on GIPHY.com See the docs here.

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Overview of Giphy#

The Giphy API provides programmatic access to Giphy's vast library of animated GIFs, allowing you to search, share, and explore this rich visual content. Leveraging Pipedream, you can harness the power of Giphy to add engaging visuals to your applications, automate the delivery of GIFs in response to events, or enrich your social media interactions with dynamic imagery. It opens up fun and expressive ways to inject personality into chatbots, forums, or any platform that could use a splash of animated flair.

Connect Giphy#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    giphy: {
      type: "app",
      app: "giphy",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `api.giphy.com/v1/gifs/random`,
      params: {
        api_key: `${this.giphy.$auth.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#

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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