NiftyKit
NiftyKit is the tool to build, collaborate, and launch projects — without coding.
Integrate the NiftyKit API with the Python API
Setup the NiftyKit API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate NiftyKit and Python remarkably fast. Free for developers.
Popular NiftyKit and Python Triggers#
Emit new event when a new NFT is minted in NiftyKit. See the documentation
Popular NiftyKit and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of NiftyKit#
The NiftyKit API offers a platform to create, sell, and manage digital collectibles on the blockchain. Users can mint non-fungible tokens (NFTs), set up drop campaigns, and handle various aspects of the NFT lifecycle. Integrating NiftyKit with Pipedream enables users to automate workflows related to NFTs, like minting in response to events, updating listings based on market conditions, or synchronizing NFT ownership data with other databases.
Connect NiftyKit#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
niftykit: {
type: "app",
app: "niftykit",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.niftykit.com/v3/collections/reveal`,
headers: {
"accept": `application/json`,
"x-api-key": `${this.niftykit.$auth.api_access_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}}