RedCircle API
RedCircle API is the real-time Target product data API you've been looking for. No manual rules or web-scraper maintenance required.
Integrate the RedCircle API API with the Python API
Setup the RedCircle API API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate RedCircle API and Python remarkably fast. Free for developers.
Popular RedCircle API 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 RedCircle API#
The RedCircle API enables podcasters to manage their shows, episodes, and analytics programmatically. Through Pipedream, you can harness this API to create custom workflows, integrating podcast operations with other apps and services. Automate tasks like uploading new episodes, syncing analytics data, or triggering marketing campaigns when a new episode goes live. With Pipedream's serverless platform, you can build these automations without managing infrastructure, leaning on Pipedream's vast app ecosystem and event-driven architecture.
Connect RedCircle API#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
redcircle_api: {
type: "app",
app: "redcircle_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.redcircleapi.com/request`,
params: {
api_key: `${this.redcircle_api.$auth.api_key}`,
type: `search`,
search_term: `cell phones`,
},
})
},
})
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}}