The all-in-one construction management software built to help you finish quality projects — safely, on time, and within budget.
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.
Emits an event each time a Prime Contract Change Order is created, updated, or deleted in a project.
Emits an event each time a Prime Contract is created, updated, or deleted in a project.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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.
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}`,
},
})
},
})
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}}