ClinchPad
ClinchPad is a deal focused CRM that enables you to close deals faster. It is a simple to use, web based application built for small teams who are looking to transition from a cluster of spreadsheets to a more organized way of tracking leads.
Integrate the ClinchPad API with the Python API
Setup the ClinchPad API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate ClinchPad and Python remarkably fast. Free for developers.
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Popular ClinchPad and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of ClinchPad#
ClinchPad is a modern CRM tailored for small teams to manage sales pipelines with minimal fuss. The ClinchPad API integrates with Pipedream, allowing you to automate interactions with your sales pipeline. For instance, you can automatically create leads, update their status, track communications, or gather analytics for reporting purposes. Through Pipedream, you can connect ClinchPad with hundreds of other apps to streamline your sales process, maintain customer relations, and close deals faster.
Connect ClinchPad#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
clinchpad: {
type: "app",
app: "clinchpad",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.clinchpad.com/api/v1/users`,
auth: {
username: `api-key`,
password: `${this.clinchpad.$auth.api_key}`,
},
})
},
})
Overview of Python#
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:
Connect Python#
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies