Robocorp
Open-source, Python based stack for simplifying #automation and making genai work for any business. Build locally, operate from the cloud, run anywhere.
Integrate the Robocorp API with the Python API
Setup the Robocorp API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Robocorp and Python remarkably fast. Free for developers.
Popular Robocorp 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 Robocorp#
The Robocorp API allows you to automate complex business processes by leveraging the power of robotic process automation (RPA). With this API, you can manage and run bots that perform tasks ranging from simple data entry to intricate workflows involving various systems and data sources. Integrating the Robocorp API with Pipedream opens up possibilities for orchestrating these automation tasks based on triggers from a multitude of web applications and services, streamlining processes without the need for manual intervention.
Connect Robocorp#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
robocorp: {
type: "app",
app: "robocorp",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://cloud.robocorp.com/api/v1/workspaces/${this.robocorp.$auth.workspace_id}/processes`,
headers: {
"Authorization": `RC-WSKEY ${this.robocorp.$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}}