Integrate the Google Search Console API with the Python API

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

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Popular Google Search Console and Python Actions#

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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Overview of Google Search Console#

The Google Search Console API opens a treasure trove of data and insights about your website’s presence in Google Search results. You can get detailed reports on your site's search traffic, manage and test your site's sitemaps and robots.txt files, and see which queries bring users to your site. On Pipedream, utilize this API to automate checks on site performance, integrate with other tools for deeper analysis, or keep tabs on your SEO strategy's effectiveness.

Connect Google Search Console#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    google_search_console: {
      type: "app",
      app: "google_search_console",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.googleapis.com/webmasters/v3/sites`,
      headers: {
        Authorization: `Bearer ${this.google_search_console.$auth.oauth_access_token}`,
      },
    })
  },
})

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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