Adobe PDF Services
Create, convert, transform, OCR PDFs and more.
Integrate the Adobe PDF Services API with the Snowflake API
Setup the Adobe PDF Services API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Adobe PDF Services and Snowflake remarkably fast. Free for developers.
Popular Ways to Connect Adobe PDF Services with Snowflake#
Popular Adobe PDF Services and Snowflake Triggers#
Popular Adobe PDF Services and Snowflake Actions#
Extracts text and table element information from a PDF document and returns a JSON file along with table data in XLSX format within a .zip file saved to the /tmp directory. See the documentation
Extracts text element information from a PDF document and returns a JSON file within a .zip file saved to the /tmp directory. See the documentation
Overview of Adobe PDF Services#
The Adobe PDF Services API provides a robust set of tools for manipulating and managing PDF files. With this API, you can create, convert, combine, export, and manipulate PDFs directly in Pipedream. The Pipedream platform enables you to build automated workflows that can interact with this API to streamline document-centric processes, such as generating reports, archiving files, or extracting data from PDFs into other formats.
Connect Adobe PDF Services#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
adobe_pdf_services: {
type: "app",
app: "adobe_pdf_services",
}
},
async run({steps, $}) {
const data = {
"mediaType": `application/pdf`,
}
return await axios($, {
method: "post",
url: `https://pdf-services.adobe.io/assets`,
headers: {
Authorization: `Bearer ${this.adobe_pdf_services.$auth.oauth_access_token}`,
"x-api-key": `${this.adobe_pdf_services.$auth.client_id}`,
"Content-Type": `application/json`,
},
data,
})
},
})
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
},
})