ZenRows
Web Scraping API & Rotating Proxy Servers. Turn Any Website Into Data with Undetected Scraping Technology 🔥.
Integrate the ZenRows API with the Snowflake API
Setup the ZenRows API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate ZenRows and Snowflake remarkably fast. Free for developers.
Popular ZenRows and Snowflake Triggers#
Popular ZenRows and Snowflake Actions#
Overview of ZenRows#
ZenRows API specializes in web scraping and handles issues like CAPTCHAs, JavaScript rendering, and rotating proxies to ensure successful data extraction. In Pipedream, you can pair the ZenRows API with numerous other services to create automated workflows that respond to events, process and analyze scraped data, or even trigger actions based on the data collected. Whether you need to monitor changes on web pages, aggregate content for analysis, or feed scraped data into other applications, ZenRows' integration on Pipedream simplifies these tasks.
Connect ZenRows#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zenrows: {
type: "app",
app: "zenrows",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.zenrows.com/v1/`,
params: {
apikey: `${this.zenrows.$auth.api_key}`,
url: `https://httpbin.io/anything`,
},
})
},
})
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
},
})