Cloze automatically keeps track of your email, phone calls, text messages, meetings, documents, Evernote, LinkedIn, Facebook, and Twitter.
Emit new event when significant changes regarding a company are detected. See the documentation.
Emit new event when significant changes happen to a person. See the documentation.
Emit new event when a significant change occurs in a project. See the documentation.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Create a new company or enhance an existing company within Cloze. Companies can be created with just a domain name or both a name and another unique identifier such as a phone number and email address. See the documentation.
Create a new project or merge updates into an existing one. See the documentation.
The Cloze API enables you to access and manage your Cloze CRM data programmatically. In Pipedream, you can create powerful, serverless workflows that react to events or run on schedules to automate tasks involving Cloze data. You could synchronize contacts, track communication history, or trigger actions based on updates in Cloze. By leveraging Pipedream's capacity to connect to a myriad of services, you can create multi-step workflows that involve other apps to streamline your business processes and harness the full potential of CRM automation.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cloze: {
type: "app",
app: "cloze",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.cloze.com/v1/profile`,
headers: {
Authorization: `Bearer ${this.cloze.$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}}