Integrate the Parseur API with the Snowflake API

Setup the Parseur API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Parseur and Snowflake remarkably fast. Free for developers.

Popular Ways to Connect Parseur with Snowflake#

Insert Multiple Rows with Snowflake API on New Document Not Processed from Parseur API

Parseur + Snowflake

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Insert Multiple Rows with Snowflake API on New Document Processed (With List Items) from Parseur API

Parseur + Snowflake

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Insert Multiple Rows with Snowflake API on New Document Processed from Parseur API

Parseur + Snowflake

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Insert Multiple Rows with Snowflake API on New Mailbox Created from Parseur API

Parseur + Snowflake

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Insert Multiple Rows with Snowflake API on New Table Processed from Parseur API

Parseur + Snowflake

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Popular Parseur and Snowflake Triggers#

New Document Not Processed from the Parseur API

Emit new event when a new document is not processed. It is triggered when a document fails to process with status New Template Needed. See the docs.

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New Row from the Snowflake API

Emit new event when a row is added to a table

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New Document Processed from the Parseur API

Emit new event when a new document is processed. It is useful for endpoints that don't support deep JSON structures as it will flatten your table fields. See the docs.

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New Query Results from the Snowflake API

Run a SQL query on a schedule, triggering a workflow for each row of results

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New Document Processed (With List Items) from the Parseur API

Emit new event when a new document is processed with list items. The payload format is the same as when viewing the document and clicking on view as JSON. See the docs.

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Popular Parseur and Snowflake Actions#

Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Insert Single Row with the Snowflake API

Insert a row into a table

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Overview of Parseur#

Parseur is a powerful email parsing tool that automates the extraction of data from emails and documents. With its API, you can unlock the data trapped in emails and documents and transform it into structured data. On Pipedream, you can use Parseur to trigger workflows from parsed email data, connecting it to hundreds of other services for endless automation possibilities. This can streamline business processes like lead management, invoice processing, and data entry by automating the extraction and flow of critical information.

Connect Parseur#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    parseur: {
      type: "app",
      app: "parseur",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.parseur.com/parser`,
      headers: {
        "Authorization": `Token ${this.parseur.$auth.api_token}`,
      },
    })
  },
})

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
  },
})