SEMrush

Get measurable results from online marketing. Do SEO, content marketing, competitor research, PPC and social media marketing from just one platform.

Integrate the SEMrush API with the Python API

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

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.

 
Try it

Overview of SEMrush

The SEMrush API offers a suite of tools for SEO, content marketing, competitor research, PPC and social media marketing analysis. With Pipedream's capabilities, you can automate data extraction for SEO audits, track keyword rankings, and glean insights from your competitors' online strategies. By utilizing the SEMrush API on Pipedream, you can create workflows that trigger actions in other apps, generate reports, and streamline your marketing efforts.

Connect SEMrush

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    semrush: {
      type: "app",
      app: "semrush",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `http://www.semrush.com/users/countapiunits.html`,
      params: {
        key: `${this.semrush.$auth.api_key}`,
      },
    })
  },
})

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

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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}}