Google Search Console is often the go-to choice for Marketers who want to understand the performance & ability of their websites, adverts & other initiatives for generating traffic. This tool provides a complete picture of the website’s performance. 

Amazon Redshift is a leading Data Warehouse solution that is robust and reliable in handling complex data present in huge quantities. Coming from the stable of Amazon, it has all the best possible bells and whistles that the AWS platform has to offer.

By loading data from Google Search Console to Redshift, you can perform analyses that help businesses by providing insights that are accurate and impact the business. 

This article provides a comprehensive overview of Google Search Console, Amazon Redshift and gives methods to send data from Google Search Console to Redshift. 

What is Google Search Console?

Google Search Console to Redshift: Search Console Logo
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Google Search Console is a free tool from Google’s ecosystem that was designed to provide a comprehensive picture of the website performance based on parameters like keyword performance, website traffic, and many more. This tool helps in monitoring the performance and gaining insights on improving the Organic Traffic. It was initially called the Webmasters tool. 

The data provided by Google Search provides information that impacts the business and helps them understand aspects that can help in boosting performance and improving the website access. 

Tools offered by Google Search Console

1) Using Google Search Console for Traffic

Search Console Performance Reports provide results that are very valuable to businesses. The reports contain the metrics related to organic traffic on the company’s website. The metrics can be used to learn which pages receive the most impressions and clicks, and which queries are driving them.

The Performance Reports Measure:

  • Clicks: This parameter counts the number of clicks that have taken place on a Google Search that reroute to your website. It does not contain other parameters like bounce rate or dwell time etc., it just counts the clicks irrespective of a user staying or leaving. 
  • Impressions: This parameter measures the website’s appearance on the Google Search Result. The impressions are measured only for those pages of Google Search that the user has visited. If it appears on the next page the user has not visited, it won’t count as an impression. 
  • Click-Through Rate: This parameter is calculated by dividing the number of site clicks by the number of impressions.
  • Average Keyword Ranking: This parameter mentions the average position of the website on the result page for a particular keyword.  

2) Using Search Console for Technical Site Health

Google Search Console provides various reports that can help in understanding the website’s performance and removing any errors that may damage its ranking.

  • The Index Coverage Report: The coverage report allows website owners to see how well covered their site is in the Google index.
  • Error: This means pages that have not been indexed. Clicking into this report will show a description of the specific errors. You should concentrate on fixing these issues first.
  • Warning: The page is indexed by Google, but has an issue that may need to be addressed.
  • Excluded: The page is not indexed. This includes non-canonical pages, pages excluded by “no-index” tags, or because pages appear to be duplicates of other indexed pages and Google has selected its own canonical.
  • Valid: These are pages that are healthy and indexed.
  • The Sitemaps Report: This section of Google Search is used to submit a list of all the pages of a website so that it becomes more accessible to Googlebot’s crawling. 
  • URL Inspection Tool: You can check the status and function of individual URLs on your site by testing them in the URL inspection tool within Search Console. 
  • Manual Actions Report: The manual actions report can notify you if your site has been with a manually instituted penalty from a human reviewer at Google.
  • Removals Tool: This tool allows website owners to temporarily remove their pages from Search Results. The removal tool won’t stop Google from crawling your pages, it will only prevent them from appearing in searches.
  • Mobile Usability Report: Search Console’s Mobile Usability Report provides broad information about mobile-friendliness and potential mobile issues on your website. It gives a list of any pages that have problems when viewed on a mobile device. 

What is Amazon Redshift?

Google Search Console to Redshift: Redshift Logo | Hevo Data
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AWS Redshift is a leading Cloud-based Data Warehouse solution from Amazon’s ecosystem. Redshift enables users to handle massive amounts of data. Redshift provides many tools that help in analyzing data and gaining impactful insights on business data. It provides a nearly unlimited storage solution and high-performance analytical services embedded into a single platform. The cost structure also depends on the space used and it can be expanded dynamically based on requirements. 

Redshift uses an MPP Architecture. Massively Parallel Processing helps it in providing faster results and employing Machine Learning Algorithms helps in increasing the accuracy. 

AWS is easy to use and provides a simple interface to work on. The backups are automated, which improves fail safes. It employs encryption regulations to protect user data as well. 

Click here to know more about Amazon Redshift.

Key Features of Amazon Redshift

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  • Swift Performance: Amazon Redshift provides fast query performance on datasets ranging from terabytes to exabytes. It employs columnar storage to reduce I/O resources. It uses MPP to distribute and parallelize SQL Operations.
  • Easy to Set Up: The process to set up Amazon Redshift is easy and can be done with just a few clicks on the Amazon Web Services Management console. You can also install a new Data Warehouse using this console. The backup and replications are automated making the process simpler. 
  • Flexible Querying: The Amazon Redshift console enables the users to run queries directly. It enables users to connect to SQL clients, libraries, and BI tools with a few clicks. It also provides a robust system while querying complex data to avoid errors and maintain performance. 
  • Fault-Tolerant: Amazon Redshift has a dependable server architecture that continuously monitors server health and performance and automatically replaces the nodes that are causing performance drops or are faulty. 
  • Scalability: Amazon Redshift is highly scalable and evolves based on requirements. Redshift is easy to use and the number of servers increases based on needs. You may quickly modify the number or type of nodes in your Data Warehouse with a few clicks in the console or a simple API call and scale up or down as your needs change.
Explore These Methods to Load Data From Google Search Console to Redshift

By migrating data from Google Search Console to Redshift, you can find critical insights and more comparative analytics that provide more accurate results.

Method 1: Migrate Data from Google Search Console to Redshift using CSV Files

This method would be time-consuming and somewhat tedious to Load Data from Google Search Console to Redshift. This is a long process and you have to be very careful of the order while executing, even a small mistake requires the whole process to be run again.

Method 2: Automated Google Search Console to Redshift Migration using Hevo Data

Hevo Data, an Automated Data Pipeline, provides you with a hassle-free solution to load data from Google Search Console to Redshift and 150+ Data Sources within minutes with an easy-to-use no-code interface. Hevo is fully managed and completely automates the process of not only loading data but also enriching the data and transforming it into an analysis-ready form without having to write a single line of code.


Why Should you Integrate Google Search Console to Redshift?

Organic traffic plays an important aspect in a business’s website performance as often it provides the highest conversion rates among all types of traffic to a business. Google Search Console provides critical information aspects like Search Performance, Keyword Performance, Impressions, Clicks, and many more. These parameters help in fine-tuning the website performance to improve organic traffic. 

Amazon Redshift is efficient in storing large amounts of data in various formats and then performing analytics to gain valuable insights. Moving data from Google Search Console to Redshift helps in uncovering information that can be critical to business applications. It will also make the report generation a lot easier so that more teams have access to insights. 

Methods to Migrate Data from Search Console to Redshift

The Data can be migrated from Google Search Console using two methods, the first being a traditional one, the second, being a fully managed solution.

Method 1: Migrate Data from Google Search Console to Redshift using CSV Files

Step 1: Extract Data from Google Search Console as CSV Files

  • Log into your Google Search Console account.
  • Select the parameter or feature that you want to export.
  • On the left menu, click on the Performance View.
  • Decide and choose the date range that you want to review.
  • Click on the Export Button present in the top left corner. 
  • Choose the format for extracting. There are many supported formats like Google Sheets, Excel, CSV, TSV, and more. For this migration choose CSV. 

Step 2: Import Google Search Console Data to Redshift 

This method uses the Amazon S3 bucket to load the CSV for Google Search Console to Redshift. It is a two-step process. First, you need to upload the CSV into Amazon S3 and then load it from Amazon S3 to Amazon Redshift.

Step A: You need to create a file that would contain the CSV from Google Search Console. Now, upload this file in form of zipping into S3. 

Step B: After the loading is done in S3, run the COPY command. This would allow you to pull the file from the S3 repository and move it to Redshift. Use the following command

COPY <schema-name>.<table-name> (<ordered-list-of-columns>) FROM '<manifest-file-s3-url>' 
CREDENTIALS'aws_access_key_id=<key>;aws_secret_access_key=<secret-key>' GZIP MANIFEST;

Using CSV files improves Redshift’s ability to identify data. You can remove any delimiters or columnar arrangement parameters by using the codes below. 

COPY table_name (col1, col2, col3, col4)
FROM 's3://<your-bucket-name>/load/file_name.csv'
credentials 'aws_access_key_id=<Your-Access-Key-ID>;aws_secret_access_key=<Your-Secret-Access-Key>'CSV;

-- Ignore the first line
COPY table_name (col1, col2, col3, col4)
FROM 's3://<your-bucket-name>/load/file_name.csv'
credentials 'aws_access_key_id=<Your-Access-Key-ID>;aws_secret_access_key=<Your-Secret-Access-Key>'

This process will successfully load your CSV for Google Serch Console to Redshift.

Limitations of Manually Migrating Data from Google Search Console to Redshift 

Migrating data from Google Search Console to Redshift is a long process. Manually Migrating data from Google Search Console to Redshift has the following drawbacks: 

  • There may be a compatibility issue for some data types and some data sources to accept Redshift as a destination.
  • This method for Google Search Console to Redshift requires the copy activity after every iteration of uploading the data.

Method 2: Automated Google Search Console to Redshift Migration using Hevo Data

Google Search Console to Redshift: Hevo Banner
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All the aforementioned limitations can be overcome using an Automated Data Pipeline like Hevo for Google Search Console to Redshift. Hevo Data is a No-code Data Pipeline solution that can help you seamlessly replicate data in real-time from 100+ data sources (Including 40+ free sources) like Google Search Console to your desired destination like Redshift, other Data Warehouses, or Databases in a completely hassle-free & automated manner.

Step 1: Configuring Google Search Console as a Source in Hevo

  • On the Asset Palette, click on PIPELINES. 
  • On the Pipelines List View, click on the CREATE button.
  • Select Google Search Console on the Select Source Type page.
  • In the Configure your Google Search Console Account page, select an existing Google Search Console account or click + ADD GOOGLE SEARCH CONSOLE ACCOUNT.
Google Search Console to Redshift: GSC account
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  • Select the Google account linked to the Google Search Console data.
  • Click on ALLOW to authorize Hevo to read and ingest the data from Google Search Console.
  • In the Configure your Google Search Console Source, specify the following:
Google Search Console to Redshift: Google Search Console Settings
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  • Pipeline Name: A unique name for your Pipeline.
  • Properties: Select the properties/sites whose performance you want to analyze.
  • Click TEST & CONTINUE.

Now, Google Search Console is set up as a source. For more information, click here.

Step 2: Configure the Redshift Destination in Hevo

  • Retrieve the Hostname and Port Number.
  • In the Asset Palette, click on DESTINATIONS. 
  • Select Amazon Redshift on the Add Destination page.
  • In the Configure your Amazon Redshift Destination page, specify the following:
Google Search Console to Redshift: setting amazon redshift destination
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  • Destination Name: A unique name for your Destination.
  • Database Cluster Identifier: Amazon Redshift host’s IP address or DNS.
  • Database Port: The port on which your Amazon Redshift server listens for connections. Default value: 5439
  • Database User: A user with a non-administrative role in the Redshift database.
  • Database Password: The password of the user.
  • Database Name: The name of the destination database where data will be loaded.
  • Database Schema: The name of the Destination database schema. Default value: public.

Click Test Connection to test connectivity with the Amazon Redshift warehouse. Once the test is successful, click SAVE DESTINATION. This will connect Google Search Console to Redshift and data migration can be done effortlessly.

For more information on configuring Redshift as a Destination, click here.


Organic traffic is one of the most important means for any business to gain customers and reach the target audience efficiently. Businesses create blogs, websites, ebooks, google adverts, and many more to be able to cater to prospective customers, with better reach. Google is the leader in search engine technology and is one of the most preferred platforms that businesses choose to showcase their products. 

Google Search Console is a tool that helps in measuring, interpreting, and monitoring the performance of websites. This tool helps in creating impactful business decisions. But Google Search Console does not have enough tools to gain insights and store historical data. Amazon redshift is a leading Data Warehouse solution that is efficient in storing large amounts of data and performing analytics on it. By migrating data from Google Search Console to Redshift, it becomes possible to uncover insights that can be critical to a business. This article provided two methods for migrating data from Google Search Console to Redshift

There are various trusted sources that companies use as it provides many benefits, but, transferring data from it into a data warehouse is a hectic task. The Automated data pipeline helps in solving this issue and this is where Hevo comes into the picture. Hevo Data is a No-code Data Pipeline and has awesome 100+ pre-built Integrations such as Google Search Console & Redshift that you can choose from.

visit our website to explore hevo

Hevo can help you Integrate your data from 100+ data sources such as Google Search Console and load them into a destination like Redshift to Analyze real-time data. It will make your life easier and data migration hassle-free. It is user-friendly, reliable, and secure.

SIGN UP for a 14-day free trial and see the difference!

Share your experience of learning about Loading Data from Google Search Console to Redshift in the comments section below.

Former Research Analyst, Hevo Data

Arsalan is a data science enthusiast with a keen interest towards data analysis and architecture and is interested in writing highly technical content. He has experience writing around 100 articles on various topics related to data industry.

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