Integrate the Ahrefs API with the Python API

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

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Popular Ahrefs and Python Actions#

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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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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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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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#

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 Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

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