Findymail
The best B2B email finder on the market.
Integrate the Findymail API with the Python API
Setup the Findymail API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Findymail and Python remarkably fast. Free for developers.
Popular Findymail and Python Actions#
Creates a new list of contacts in Findymail. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Finds an email address using a given full name and a website domain. See the documentation
Locates an email using a company's website. See the documentation
Overview of Findymail#
The Findymail API provides a way to enrich and validate email contacts. Leveraging Pipedream's capabilities, you can automate workflows that trigger on various events to lookup emails, auto-populate CRM fields, validate email data, or even enhance marketing lists with accurate contact information. Using Findymail's API in Pipedream, you can create intricate serverless workflows that react to various triggers, such as webhooks, scheduled timers, or actions from other apps, to integrate email data enrichment into your business processes.
Connect Findymail#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
findymail: {
type: "app",
app: "findymail",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.findymail.com/api/credits`,
headers: {
Authorization: `Bearer ${this.findymail.$auth.api_key}`,
"Content-Type": `application/json`,
"Accept": `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}}