Wiza
Wiza is a tool that helps you find and export accurate contact data for prospects from LinkedIn.
Integrate the Wiza API with the Snowflake API
Setup the Wiza API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Wiza and Snowflake remarkably fast. Free for developers.
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Popular Wiza and Snowflake Triggers#
Overview of Wiza#
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.
Connect Wiza#
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,
})
},
})
Overview of Snowflake#
Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.
Getting Started
1. Create a user, role and warehouse in Snowflake
Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.
We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.
2. Enter those details in Pipedream
Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.
You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.
3. Build your first workflow
Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.
Learn more at Pipedream University.
Connect Snowflake#
import snowflake from '@pipedream/snowflake';
export default defineComponent({
props: {
snowflake,
},
async run({ $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/snowflake
return this.snowflake.executeQuery({
sqlText: `SELECT CURRENT_TIMESTAMP()`,
binds: [],
});
},
});Trusted by 1,000,000+ developers from startups to Fortune 500 companies