Phiona Documentation
  • 👋Introduction
  • 🛣️The Basics
    • How Phiona Works
    • Scheduling & Automation
    • API Documentation
  • 🔗Data Sources
    • Airtable
    • Amazon S3
    • BigCommerce
    • BigQuery
    • Dropbox
    • Firebase
    • Google Analytics v4
    • Google Drive
    • Google Search Console
    • Google Sheets
    • Hubspot
    • Import from API (Beta)
    • Local Files
    • MongoDB
    • MySQL
    • PostgreSQL
    • Redshift (Beta)
    • Shopify
    • Snowflake (Beta)
    • WooCommerce
    • Wordpress
  • 📈Sharing Data
    • Share Project with Collaborators
    • Share Public Project Link
    • Share Serverless SQL Warehouse
    • Build API Endpoint From Single Dataset
    • Share Dataset via Email
  • 🛠️Clean & Transform
    • Supported Data Types & Column Header Functions
    • Supported Clean Functions
    • Supported Transformations
    • Applying Existing or Shared Blueprints
  • 🌆Export Destinations
    • Airtable
    • Amazon S3
    • Dropbox
    • Google Drive
    • Google Sheets
    • MongoDB
    • MySQL
    • PostgreSQL
    • Redshift (Beta)
    • Snowflake (Beta)
  • Changelog
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  1. Data Sources

Google Search Console

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Last updated 2 years ago

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This page describes how to set up your Google Search Console connection. Click on the Google Search Console data source, and then "Create a New Connection".

You'll have the choice of a few different streams to pull data from:

  • Full Analytics Report

  • Analytics Report by Country

  • Analytics Report by Page

  • Analytics Report by Query

  • Analytics Report by Device

  • Sites: Site List for User

  • Sites: Specific Site

  • Sitemaps: List of Entries

  • Sitemaps: Specific Sitemap

For each of these streams, you'll need to paste your Site URL.

There will also be options to add custom parameters, and for some of these (query, for example) the parameters are quite advanced. Please refer to the Google Search Console API Documentation for more details.

For most of these reports, you'll need to select a Date Range to pull the information from. This can be either hardcoded dates or relative dates (last week's data, for example).

Once you have selected your options, click "Authorize and Save Connection". This will bring up a Google Authentication screen where you can enter your username and password.

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