The CRM to Supercharge Sales Teams. On the road. In the office. From home.
Emit new event when a new activity is created. See the documentation
Emit new event when a new contact is created. See the documentation
Emit new event when a new opportunity is created. See the documentation
Creates a new business opportunity in ForceManager. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Search for an existing contact by email, name, or phone. See the documentation
Returns a list of all users in the app. See the documentation
The ForceManager API allows for robust interaction with ForceManager's CRM platform. It facilitates access to data on sales, customer interactions, and performance metrics. With Pipedream, you can automate actions based on this data, integrate with other services, and create custom workflows that leverage events and triggers from ForceManager to streamline sales processes and data management. Interacting with the ForceManager API through Pipedream allows you to connect CRM data with other applications such as email, calendars, support systems, and more, creating a seamless flow of information across your business tools.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
forcemanager: {
type: "app",
app: "forcemanager",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.forcemanager.com/api/v4/users`,
headers: {
"Content-Type": `application/json`,
"Accept": `*/*`,
"X-Session-Key": `${this.forcemanager.$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}}