HelloLeads
An award-winning Smart and Simple Lead Management solution for Small Businesses.
Integrate the HelloLeads API with the Python API
Setup the HelloLeads API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate HelloLeads and Python remarkably fast. Free for developers.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular HelloLeads and Python Actions#
Adds a new lead into the HelloLeads system. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of HelloLeads#
The HelloLeads API integrates with Pipedream to automate your lead management processes. By leveraging this API on Pipedream, you can streamline contact syncing, lead tracking, and perform actions based on lead status changes. With serverless workflows, you can connect HelloLeads with various apps like CRMs, communication platforms, or data analysis tools to enhance lead engagement, follow-up efficiency, and data-driven decision-making.
Connect HelloLeads#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
helloleads: {
type: "app",
app: "helloleads",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.helloleads.io/index.php/private/api/leads`,
headers: {
"hls-key": `token=${this.helloleads.$auth.api_key}`,
"Xemail": `${this.helloleads.$auth.email}`,
"Content-Type": `application/json`,
},
})
},
})
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