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with Procore and Python?
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Popular Ways to Connect Procore with Python#
Popular Procore and Python Triggers#
Emits an event each time a Budget Snapshot is created, updated, or deleted in a project.
Emits an event each time a Commitment Change Order is created, updated, or deleted in a project.
Emit new event when a new budget snapshot event is created. See the documentation
Emit new event when a new change order package event is created. See the documentation
Emit new event when a new commitment change order event is created. See the documentation
Popular Procore and Python Actions#
Overview of Procore#
The Procore API empowers developers to interact with its construction management software programmatically, enabling automation of tasks, data synchronization, and enhanced reporting. With APIs covering project management, quality and safety, construction financials, and field productivity, you can craft workflows that streamline operations, reduce manual entry, and provide real-time insights. On Pipedream, these capabilities can be harnessed to create workflows that react to events in Procore or orchestrate actions between Procore and other apps, optimizing construction project workflows.
Connect Procore#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
procore: {
type: "app",
app: "procore",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.procore.com/rest/v1.0/me`,
headers: {
Authorization: `Bearer ${this.procore.$auth.oauth_access_token}`,
},
})
},
})
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