with Google Search Console and Python?
Fetches search analytics from Google Search Console for a verified site.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Sends a URL update notification to the Google Indexing API
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.
Google Search Console distinguishes between URL properties and Domain properties:
https://example.com
or https://www.example.com
)sc-domain:example.com
)When working with subdomains:
sc-domain:example.com
)https://mcp.example.com
)https://mcp.example.com/app/slack
This approach ensures you can access subdomain data even if the subdomain isn't individually verified in Search Console.
To see data broken down by individual pages (rather than just aggregate data):
For advanced filtering needs, you can also:
SEO Performance Report to Slack: Automate daily or weekly SEO performance reports. Use the Google Search Console API to fetch search analytics data, then send a summary report to a Slack channel, keeping the team informed about trends, keyword rankings, and click-through rates.
Sync Search Results with Google Sheets: Create a workflow that periodically pulls data from the Google Search Console API and adds it to a Google Sheet. This is useful for maintaining an evolving dataset for deeper analysis, historical reference, or sharing insights across teams without giving direct access to the Search Console.
Automatic Sitemap Submission: Set up a Pipedream workflow that triggers whenever a new sitemap is generated in your content management system (CMS). The workflow can then automatically submit the sitemap to Google Search Console via API, ensuring Google has the latest structure of your site for crawling and indexing.
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}`,
},
})
},
})
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:
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}}