Larger.io
Uncovers the technologies used on websites
Integrate the Larger.io API with the Python API
Setup the Larger.io API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Larger.io and Python remarkably fast. Free for developers.
Popular Larger.io 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 Larger.io#
The Larger.io API taps into extensive data on technologies used by websites around the globe. With this API, you can detect the web technologies and tools employed by various online domains. This is particularly helpful for competitive analysis, market research, and lead generation. By leveraging Pipedream's serverless platform, you can create automated workflows that respond to specific triggers, analyze data with built-in code steps, and interact with an array of apps to streamline business processes.
Connect Larger.io#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
larger_io: {
type: "app",
app: "larger_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.larger.io/v1/search/key/${this.larger_io.$auth.api_key}?domain=gandi.net`,
})
},
})
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}}