Integrate the Affinda API with the Snowflake API

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

Popular Ways to Connect Affinda with Snowflake#

Upload Document for Parsing with Affinda API on New Row from Snowflake API

Snowflake + Affinda

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Upload Document for Parsing with Affinda API on New Query Results from Snowflake API

Snowflake + Affinda

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Insert Multiple Rows with Snowflake API on New Document Parse Completed from Affinda API

Affinda + Snowflake

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Insert Multiple Rows with Snowflake API on New Document Validated from Affinda API

Affinda + Snowflake

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Insert Single Row with Snowflake API on New Document Parse Completed from Affinda API

Affinda + Snowflake

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Popular Affinda and Snowflake Triggers#

New Document Parse Completed from the Affinda API

Emit new event when a document parsing is completed in Affinda See docs here

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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 Validated from the Affinda API

Emit new event when a document is validated in Affinda. See docs here

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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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Popular Affinda and Snowflake Actions#

Upload Document for Parsing with the Affinda API

Uploads a document for parsing. See docs here

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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 Affinda#

The Affinda API offers a suite of powerful tools for document analysis and extraction, enabling you to automate the processing of resumes, invoices, bank statements, and other documents. By parsing detailed information from documents, Affinda can transform unstructured data into structured, actionable insights. With Pipedream, you can integrate Affinda's capabilities into serverless workflows, connecting to hundreds of apps to automate tasks like candidate screening, financial data aggregation, or content management.

Connect Affinda#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    affinda: {
      type: "app",
      app: "affinda",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.affinda.$auth.api}.affinda.com/v3/organizations`,
      headers: {
        Authorization: `Bearer ${this.affinda.$auth.api_key}`,
        "Accept": `application/json`,
      },
    })
  },
})

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
  },
})