Pipeline is the first sales productivity platform to combine sales engagement and Customer Relationship Management (CRM) in one easy-to-use application. We make your sales process as organized and efficient as possible. Email your contacts, qualify leads, and get organized so you can spend more time closing! Over 17,000 salespeople use Pipeline to manage their sales.
Emit new event when a new company is created in your Pipeline account.
Emit new event when a new deal is created in your Pipeline account.
Emit new event when a new person is created in your Pipeline account.
Creates a new activity associated with an existing person, company, or deal. See the docs here
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Creates a new company in your Pipeline account. See the docs here
Creates a new calendar event in your Pipeline account. See the docs here
The Pipeline API on Pipedream enables you to design robust automations that streamline your sales and engagement processes. By leveraging this API, you can programmatically manage your sales pipeline, track email interactions, and book meetings automatically. Create triggers based on email events, update deals based on customer actions, or sync your sales data with other platforms for deeper analysis. With Pipedream's serverless architecture, you can create workflows that respond in real-time, ensuring your sales team has the freshest information at their fingertips.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pipeline: {
type: "app",
app: "pipeline",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pipelinecrm.com/api/v3/admin/users`,
params: {
api_key: `${this.pipeline.$auth.api_key}`,
},
})
},
})
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}}