Clearbit
B2B Lead Data Enrichment, Qualification & Scoring
Integrate the Clearbit API with the Snowflake API
Setup the Clearbit API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Clearbit and Snowflake remarkably fast. Free for developers.
Popular Clearbit and Snowflake Triggers#
Popular Clearbit and Snowflake Actions#
The Company Name to Domain action lets you convert the exact name of a company to a website domain, and a logo. See the docs here.
The Company API allows you to look up a company by their domain. See the docs here.
This endpoint retrieves a person by email address. See the docs here
Overview of Clearbit#
Clearbit API offers robust data enrichment capabilities, allowing you to seamlessly integrate comprehensive business intelligence into your applications. By leveraging Clearbit, you can append real-time insights to your leads, automate personalized outreach, and gain a deeper understanding of your customers. With insights ranging from company profiles, contact details, to employment information, the possibilities to enhance your marketing, sales, and customer support efforts are vast.
Connect Clearbit#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
clearbit: {
type: "app",
app: "clearbit",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://person.clearbit.com/v1/people/email/alex@alexmaccaw.com`,
headers: {
Authorization: `Bearer ${this.clearbit.$auth.secret_api_key}`,
},
})
},
})
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 { promisify } from 'util'
import snowflake from 'snowflake-sdk'
export default defineComponent({
props: {
snowflake: {
type: "app",
app: "snowflake",
}
},
async run({steps, $}) {
const connection = snowflake.createConnection({
...this.snowflake.$auth,
application: "PIPEDREAM_PIPEDREAM",
})
const connectAsync = promisify(connection.connect)
await connectAsync()
async function connExecuteAsync(options) {
return new Promise((resolve, reject) => {
connection.execute({
...options,
complete: function(err, stmt, rows) {
if (err) {
reject(err)
} else {
resolve({stmt, rows})
}
}
})
})
}
// See https://docs.snowflake.com/en/user-guide/nodejs-driver-use.html#executing-statements
const { rows } = await connExecuteAsync({
sqlText: `SELECT CURRENT_TIMESTAMP()`,
})
return rows
},
})