Proxycurl
Pull rich data about people and companies.
Integrate the Proxycurl API with the Snowflake API
Setup the Proxycurl API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Proxycurl and Snowflake remarkably fast. Free for developers.
Popular Ways to Connect Proxycurl with Snowflake#
Popular Proxycurl and Snowflake Triggers#
Popular Proxycurl and Snowflake Actions#
Find Social Media Profiles from Email. Cost: 3 credit/successful request See the documentation.
Lookup work email address of a LinkedIn Person Profile. If you provided a webhook in your request parameter, our application will call your webhook with the result once. Cost: 3 credit/successful request See the documentation.
Retrieve Company Metadata from LinkedIn URL. Cost: 1 credit/successful request See the documentation.
Overview of Proxycurl#
The Proxycurl API is a tool for scraping LinkedIn data, enabling users to extract professional information from LinkedIn profiles and company pages. When integrated with Pipedream's serverless platform, Proxycurl can automate the collection of LinkedIn data, which can be used for lead generation, market research, or recruitment. Pipedream's capabilities allow users to create workflows that respond to various triggers, process the data with Proxycurl, and then output it to desired destinations or further manipulate it with other apps and services.
Connect Proxycurl#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
proxycurl: {
type: "app",
app: "proxycurl",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://nubela.co/proxycurl/api/credit-balance`,
headers: {
Authorization: `Bearer ${this.proxycurl.$auth.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
},
})