CallRail’s lead intelligence platform helps businesses market with confidence.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The CallRail API provides access to data about calls, texts, and form submissions that flow through the CallRail system. Leveraging Pipedream's serverless platform, you can automate workflows triggered by these events. For instance, you can log calls to a Google Sheet, create real-time alerts, or sync call data with a CRM like Salesforce.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
callrail: {
type: "app",
app: "callrail",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.callrail.com/v3/a.json`,
headers: {
"Authorization": `Token token=${this.callrail.$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}}