What do you want to automate
with Leadfeeder and Python?
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Popular Leadfeeder 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 Leadfeeder#
Leadfeeder is a tool that reveals the companies visiting your website and how they interact with your content. By harnessing the power of the Leadfeeder API on Pipedream, you can automate the process of capturing lead data and integrating it directly into your sales and marketing workflows. This can range from enriching CRM records to triggering custom email campaigns based on visitor behavior, enabling a more dynamic and responsive engagement with potential customers.
Connect Leadfeeder#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
leadfeeder: {
type: "app",
app: "leadfeeder",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.leadfeeder.com/accounts`,
headers: {
"Authorization": `Token ${this.leadfeeder.$auth.api_token}`,
},
})
},
})
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