Loqate
Lightweight code hosting solution written in Go. Easy to install and use.
Integrate the Loqate API with the Python API
Setup the Loqate API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Loqate and Python remarkably fast. Free for developers.
Popular Loqate 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 Loqate#
The Loqate API offers a robust toolkit for location data services including address verification, geocoding, and autocomplete. When leveraged within Pipedream, users can automate workflows involving data enrichment, validation, and location intelligence. You can seamlessly integrate real-time address validation in your e-commerce checkout process, enrich user profiles with geographic data, or automate the updating of an address database.
Connect Loqate#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
loqate: {
type: "app",
app: "loqate",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.addressy.com/EmailValidation/Batch/Validate/v1.20/json.ws`,
params: {
Key: `${this.loqate.$auth.service_key}`,
Emails: `{enter_email_here}`,
},
})
},
})
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}}