Wiza is a tool that helps you find and export accurate contact data for prospects from LinkedIn.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Wiza API offers robust tools for scraping LinkedIn profiles and turning them into structured data such as emails, names, and company details. This data can be pivotal for sales and marketing professionals to build lead lists, validate contact information, and enrich existing databases directly through API integration. Leveraging this API on Pipedream allows users to automate the entire process of lead generation and management by connecting Wiza to a myriad of other services like CRMs, email marketing platforms, and data analysis tools.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
wiza: {
type: "app",
app: "wiza",
}
},
async run({steps, $}) {
const data = {
"list": {
"name": "VP of Sales in San Francisco",
"enrichment_level": "partial",
"email_options": {
"accept_work": true,
"accept_personal": true,
"accept_generic": true
},
"items": [
{
"full_name": "Stephen Hakami",
"company": "Wiza",
"domain": "wiza.co",
"profile_url": "https://www.linkedin.com/in/stephen-hakami-5babb21b0/"
}
]
}
}
return await axios($, {
method: "post",
url: `https://wiza.co/api/lists`,
headers: {
Authorization: `Bearer ${this.wiza.$auth.api_key}`,
},
data,
})
},
})
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}}