Compare news from all sides, decipher fact from fiction, and transform big media into actionable insights.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Perigon API enables the creation and management of complex data relationships, allowing for the automation of data-driven processes. With this API, you can streamline data synchronization, manage master data, and enhance business intelligence by connecting Perigon's data capabilities with various apps and services. Automating workflows with the Perigon API on Pipedream can lead to increased efficiency by reducing manual data handling, ensuring data accuracy, and providing actionable insights through connected systems.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
perigon: {
type: "app",
app: "perigon",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.goperigon.com/v1/all`,
params: {
apiKey: `${this.perigon.$auth.apiKey}`,
},
})
},
})
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:
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}}