Ahrefs

SEO Tools & Resources

Integrate the Ahrefs API with the Snowflake API

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

Get Backlinks One Per Domain with Ahrefs API on New Row from Snowflake API
Snowflake + Ahrefs
 
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Get Backlinks with Ahrefs API on New Row from Snowflake API
Snowflake + Ahrefs
 
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Get Referring Domains with Ahrefs API on New Row from Snowflake API
Snowflake + Ahrefs
 
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Get Backlinks One Per Domain with Ahrefs API on Query Results from Snowflake API
Snowflake + Ahrefs
 
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Get Backlinks with Ahrefs API on Query Results from Snowflake API
Snowflake + Ahrefs
 
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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 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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New Deleted Role from the Snowflake API

Emit new event when a role is deleted

 
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Get Backlinks with the Ahrefs API

Get the backlinks for a domain or URL with details for the referring pages (e.g., anchor and page title).

 
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Get Backlinks One Per Domain with the Ahrefs API

Get one backlink with the highest ahrefs_rank per referring domain for a target URL or domain (with details for the referring pages including anchor and page title).

 
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Get Referring Domains with the Ahrefs API

Get the referring domains that contain backlinks to the target URL or domain.

 
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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 Ahrefs

Ahrefs API taps into the vast data reserves of Ahrefs, a robust SEO tool, to programmatically access insights into backlink profiles, keyword rankings, and SEO health. With Pipedream's capabilities, you can automate SEO monitoring, integrate with content management systems, trigger alerts for new or lost backlinks, or gather intelligence for keyword research—all without manual intervention. This unlocks the potential for real-time SEO strategy adjustments and the integration of SEO data into broader business processes or analytics platforms.

Connect Ahrefs

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ahrefs: {
      type: "app",
      app: "ahrefs",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://apiv2.ahrefs.com`,
      params: {
        output: `json`,
        token: `${this.ahrefs.$auth.oauth_access_token}`,
        from: `subscription_info`,
      },
    })
  },
})

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

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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
  },
})