Browserless
Browserless is a service that allows you to run headless Chrome instances in the cloud.
Integrate the Browserless API with the Snowflake API
Setup the Browserless API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Browserless and Snowflake remarkably fast. Free for developers.
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Popular Ways to Connect Browserless with Snowflake#
Popular Browserless and Snowflake Triggers#
Overview of Browserless#
The Browserless API on Pipedream allows you to automate browser actions without the overhead of managing your own browser infrastructure. This service provides a way to run Chrome browser sessions programmatically, making it ideal for web scraping, automated testing, and screenshot capture. Leveraging this on Pipedream, you can create serverless workflows that interact with web pages, extract data, and perform actions as a human would, all in a scalable and efficient manner.
Connect Browserless#
import puppeteer from 'puppeteer-core@14.1.0';
export default defineComponent({
props: {
browserless: {
type: "app",
app: "browserless",
}
},
async run({steps, $}) {
// See the browserless docs for more info:
// https://www.browserless.io/docs/
const browser = await puppeteer.connect({
browserWSEndpoint: `wss://chrome.browserless.io?token=${this.browserless.$auth.api_key}`
})
const page = await browser.newPage()
const url = "https://example.com"
const type = "png"
await page.goto(url)
const screenshot = await page.screenshot()
// export the base64-encoded screenshot for use in future steps,
// along with the image type and filename
$.export("screenshot", Buffer.from(screenshot, 'binary').toString('base64'))
$.export("type", type)
$.export("filename",`${url.replace(/[&\/\\#, +()$~%.'":*?<>{}]/g, '_')}-${+new Date()}.${type}`)
await browser.close()
},
})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