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Adds a new activity. Includes more_activities_scheduled_in_context
property in response's additional_data
which indicates whether there are more undone activities scheduled with the same deal, person or organization (depending on the supplied data). See the Pipedrive API docs for Activities here. For info on adding an activity in Pipedrive
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Pipedrive API on Pipedream allows you to create powerful sales automation and data management workflows. With access to Pipedrive's CRM capabilities, you can automate deal updates, contact management, and sales reporting. Whether you're syncing customer information across platforms or triggering actions based on deal stages, Pipedream makes these integrations seamless.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pipedrive: {
type: "app",
app: "pipedrive",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.pipedrive.$auth.api_domain}/users/me`,
headers: {
Authorization: `Bearer ${this.pipedrive.$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}}