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Integrate the Leiga API with the Python API
Setup the Leiga API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Leiga and Python remarkably fast. Free for developers.
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Popular Leiga and Python Triggers#
Popular Leiga 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 Leiga#
The Leiga API unlocks the potential to automate and streamline your graphic design operations. By integrating with Pipedream, you can trigger workflows using events from other apps, manipulate and store data, or even orchestrate complex operations among various services. Whether you're looking to automate image processing, streamline asset management, or create dynamic marketing campaigns, Pipedream's serverless platform lets you build scalable and efficient workflows with the Leiga API.
Connect Leiga#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
leiga: {
type: "app",
app: "leiga",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.leiga.com/openapi/api/org/all-member-list`,
headers: {
"accessToken": `${this.leiga.$auth.oauth_access_token}`,
},
params: {
pageNumber: `1`,
pageSize: `10`,
},
})
},
})
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies