Integrate the Airparser API with the Snowflake API

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

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Popular Ways to Connect Airparser with Snowflake#

Extract Data from Document with Airparser API on New Row from Snowflake API

Snowflake + Airparser

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Upload Document and Parse with Airparser API on New Row from Snowflake API

Snowflake + Airparser

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Extract Data from Document with Airparser API on New Query Results from Snowflake API

Snowflake + Airparser

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Upload Document and Parse with Airparser API on New Query Results from Snowflake API

Snowflake + Airparser

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Execute Query with Snowflake API on New Document Parsed from Airparser API

Airparser + Snowflake

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Popular Airparser and Snowflake Triggers#

New Row from the Snowflake API

Emit new event when a row is added to a table

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New Document Parsed from the Airparser API

Emit new event when a document is parsed. See the documentation

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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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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

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New Database from the Snowflake API

Emit new event when a database is created

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Popular Airparser and Snowflake Actions#

Extract Data from Document with the Airparser API

Extracts structured data based on a user-predefined extraction schema. See the documentation

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Upload Document and Parse with the Airparser API

Uploads a document into the inbox for data extraction. See the documentation

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Execute SQL Query with the Snowflake API

Execute a custom Snowflake query. See our docs to learn more about working with SQL in Pipedream.

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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 Airparser#

The Airparser API simplifies the process of extracting data from emails, such as order confirmations, shipping notifications, or any structured email content. By transforming emails into structured data, it enables seamless integration of email data into various workflows. On Pipedream, you can leverage this API to create automations that act on the parsed data—like updating databases, triggering notifications, or integrating with other apps and services.

Connect Airparser#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    airparser: {
      type: "app",
      app: "airparser",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.airparser.com/inboxes/`,
      headers: {
        "X-API-Key": `${this.airparser.$auth.api_key}`,
      },
    })
  },
})

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: [],
    });
  },
});

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