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with Google Search Console and Data Stores?

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Retrieve Site Performance Data with the Google Search Console API

Fetches search analytics from Google Search Console for a verified site.

 
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Add or update a single record with the Data Stores API

Add or update a single record in your Pipedream Data Store

 
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Submit URL for Indexing with the Google Search Console API

Sends a URL update notification to the Google Indexing API

 
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Add or update multiple records with the Data Stores API

Add or update multiple records to your Pipedream Data Store

 
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Append to record with the Data Stores API

Append to a record in your data store Pipedream Data Store. If the record does not exist, a new record will be created in an array format.

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

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.

Working with Domain Properties and Subdomains

Google Search Console distinguishes between URL properties and Domain properties:

  • URL properties are specific site URLs (e.g., https://example.com or https://www.example.com)
  • Domain properties include all subdomains and protocols (e.g., sc-domain:example.com)

When working with subdomains:

  1. Select the domain property from the dropdown (e.g., sc-domain:example.com)
  2. Enter the subdomain URL in the "Subdomain Filter" field (e.g., https://mcp.example.com)
  3. By default, this will filter for pages containing that subdomain URL, including all subpages like 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.

Important: Getting Data for Individual Pages

To see data broken down by individual pages (rather than just aggregate data):

  • Add "page" to your dimensions list
  • This will return separate rows for each page, rather than a single aggregated row

For advanced filtering needs, you can also:

  • Change the filter dimension (page, query, country, etc.)
  • Change the filter operator (contains, equals, etc.)
  • Or use the advanced filters for complete customization

Example Use Cases

  • 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.

Connect Google Search Console

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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 Data Stores

Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.

Connect Data Stores

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export default defineComponent({
  props: {
    myDataStore: {
      type: "data_store",
    },
  },
  async run({ steps, $ }) {
    await this.myDataStore.set("key_here","Any serializable JSON as the value")
    return await this.myDataStore.get("key_here")
  },
})

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo