Snowflake
A data warehouse built for the cloud
Integrate the Snowflake API with the Automatic Data Extraction API
Setup the Snowflake API trigger to run a workflow which integrates with the Automatic Data Extraction API. Pipedream's integration platform allows you to integrate Snowflake and Automatic Data Extraction remarkably fast. Free for developers.
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Popular Ways to Connect Snowflake with Automatic Data Extraction#
Popular Snowflake and Automatic Data Extraction Triggers#
Popular Snowflake and Automatic Data Extraction Actions#
Extract data from a specified URL See the docs here
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: [],
});
},
});Overview of Automatic Data Extraction#
The Automatic Data Extraction API by Zyte specializes in extracting structured data from web pages. When incorporated into Pipedream workflows, this API allows you to automate the process of gathering web data, which can feed into various tasks such as market research, price monitoring, or even lead generation. By triggering workflows with new data inputs, processing and storing the extracted data, and connecting to other apps, Pipedream amplifies the API's utility.
Connect Automatic Data Extraction#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
automatic_data_extraction: {
type: "app",
app: "automatic_data_extraction",
}
},
async run({steps, $}) {
const data = JSON.stringify([{
'url': 'http://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html',
'pageType': 'product',
}]);
return await axios($, {
method: "post",
url: `https://autoextract.scrapinghub.com/v1/extract`,
headers: {
"Content-Type": `application/json`,
},
auth: {
username: `${this.automatic_data_extraction.$auth.api_key}`,
password: ``,
},
data,
})
},
})
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