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How to Get Website Data in Excel

Cody Schneider••8 min read

Pulling your website and marketing data into Excel is essential for custom analysis, but the process often feels outdated. To help you move beyond tedious manual work, this article walks through several methods for getting your data into a spreadsheet, from simple exports to powerful, automated connections.

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First, Why Get Website Data in Excel Anyway?

In an era of cloud-based dashboards, why do we still turn to spreadsheets? The reality is, Excel and Google Sheets offer a level of flexibility that many dedicated platforms don’t. You might pull data into Excel for several reasons:

  • Unlimited Customization: You can create completely custom formulas, calculations, and pivot tables that are specific to your business logic.
  • Familiarity: Most of us grew up using spreadsheets. It’s a familiar, comfortable environment for manipulating numbers and text.
  • Combining Data: Excel is often the go-to middle ground for stitching together data from different sources, like blending Google Analytics traffic data with your CRM’s lead data.
  • Offline Access: Once it's downloaded, you can work with your data anywhere without an internet connection.

While these are valid reasons, how you get the data into Excel makes all the difference between an efficient process and a weekly time-sink.

Method 1: The Copy and Paste (Not Recommended)

The simplest method is also the most flawed. It involves navigating to a report in a tool like Google Analytics, highlighting the table of data on your screen, copying it (Ctrl+C), and pasting it into Excel (Ctrl+V).

Why This Is a Bad Habit

  • Error-Prone: It's incredibly easy to miss a row or have formatting issues break the data when you paste it. You might spend more time cleaning up the paste than you would a clean export.
  • Doesn't Scale: This works for a tiny table of 10 rows, but it’s completely unmanageable for reports with hundreds or thousands of entries, not to mention multiple pages.
  • Completely Static: The data is outdated the moment you paste it. If you need an updated version of the report tomorrow, you have to repeat the entire process from scratch.

While tempting for a quick look, the copy-paste method is unreliable for any serious reporting. It’s better to use it as a last resort and adopt one of the more structured methods below.

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Method 2: Export to CSV (The Standard Manual Approach)

A much more reliable manual option is exporting your data as a CSV (Comma-Separated Values) or Excel file. Nearly every analytics platform, from Google Analytics to Shopify to HubSpot, has a dedicated export feature.

A CSV is a universal plain-text file format where data points are separated by commas. Excel can open these files perfectly, automatically organizing the data into proper rows and columns.

How to Export a CSV from Google Analytics 4:

  1. Navigate to the report you want to export (e.g., Reports > Acquisition > Traffic Acquisition).
  2. In the top right corner of the report, look for the Share icon (a box with an arrow pointing out).
  3. Click the icon and select Download File.
  4. Choose Download CSV. The file will be saved to your computer.
  5. Open the downloaded file in Excel.

Pros of Exporting to CSV:

  • Structured and Clean: Unlike copy-pasting, a CSV export preserves the data structure, providing clean columns and rows without formatting headaches.
  • Standardized: It's the standard way to get bulk data out of most marketing and sales platforms.

Cons of Exporting to CSV:

  • Manual Process: You still have to log in, navigate to the report, and click the export button every single time you need updated data. Doing this for multiple reports every week adds up quickly.
  • The "Report_Final_v2.csv" Problem: This method leads to dozens of disconnected files on your computer. It becomes difficult to track which version is the most current and creates clutter.
  • Still a Static Snapshot: Like copy-pasting, the downloaded file is a snapshot in time. It doesn't update automatically.

Method 3: Power Query (Excel’s Built-in ETL Tool)

If you're looking for a more automated, native Excel solution, it's time to meet Power Query. Power Query is a data connection tool built into modern versions of Excel that can connect to hundreds of data sources, pull in data, and set up repeatable transformation steps.

This is where you graduate from single, static downloads to dynamic, refreshable reports. The most common use case for marketers is connecting to a folder of your weekly CSV exports.

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Example: Automatically Combining Multiple CSV Files

Let's imagine you follow the "Export to CSV" method once a week and save all your exports (e.g., GA_week1.csv, GA_week2.csv, GA_week3.csv) into a single folder on your computer.

With Power Query, you can point Excel to that folder, and it will automatically combine every file into one master table. When you add a new CSV next week, you only need to press "Refresh."

How to Set It Up:

  1. Open a new Excel workbook.
  2. Go to the Data tab on the Ribbon.
  3. Click Get Data > From File > From Folder.
  4. Browse and select the folder where you save your CSV exports. Click Open.
  5. A dialog box will appear showing the files in that folder. Don't just click "Load." Instead, click Combine > Combine & Transform Data. This gives you more control.
  6. Power Query will show you a preview based on the first file. If it looks correct, click OK.
  7. The Power Query Editor window will open, showing you all your data combined in a single table, with an extra column showing the source file name. You can clean, filter, or transform the data here if needed.
  8. When you're happy, click Close & Load in the top-left corner.

Your combined data will now appear in a new sheet in Excel. The next week, when you export GA_week4.csv and drop it into the same folder, all you have to do is right-click your data table in Excel and hit Refresh. Power Query will automatically grab the new file and append it to your table.

Method 4: Using Third-Party Add-ins and Connectors

For fully automated reporting without dealing with CSVs at all, you can use specialized Excel add-ins that connect directly to your marketing platforms via their APIs.

Tools like Supermetrics are popular options. They work as a bridge, allowing you to build queries directly inside Excel or Google Sheets, pull data straight from sources like Google Analytics, Facebook Ads, and HubSpot, and schedule automatic refreshes.

How Connectors Generally Work:

  1. Install the Add-in: You'll typically find them in the Microsoft AppSource store or Google Workspace Marketplace.
  2. Connect Your Accounts: You'll open the add-in’s sidebar in Excel and grant it permission to access your Google Analytics or other accounts.
  3. Build Your Query: Using the add-in's interface, you’ll select the metrics (e.g., Sessions, Conversions) and dimensions (e.g., Source / Medium, Date) you want to pull.
  4. Pull the Data: The add-in will populate your spreadsheet with the requested data.
  5. Schedule Refreshes: The biggest advantage is being able to set the query to refresh automatically - every day, every week, or even every hour.

Pros of Add-ins:

  • Fully Automated: Once set up, your data is always current without any manual intervention.
  • Direct Connections: No need to repeatedly download and manage CSV files.

Cons of Add-ins:

  • Subscription Cost: These powerful tools are almost always paid services with recurring monthly or annual fees.
  • Potential Complexity: Some have their own learning curve for building complex queries across different platforms.

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The Problem with All These Methods: Stale Data

Whether you're exporting a CSV daily or using Power Query to refresh a table, you're always working with a snapshot of your data locked inside a spreadsheet. This leads to a common, inefficient cycle many marketing and sales teams know well:

  1. Spend Monday morning exporting CSVs from a half-dozen platforms.
  2. Wrangle that data together into a single spreadsheet.
  3. Present the findings in a Tuesday meeting.
  4. Get follow-up questions you can’t answer immediately.
  5. Spend Wednesday re-pulling data to answer those questions.

By the time you've analyzed last week's performance, you’re already behind on the current week. True data-driven decisions require live, real-time insights, not stale reports.

Final Thoughts

Getting your website data into Excel can be done in many ways, from simple manual exports to sophisticated, automated setups with Power Query or third-party add-ins. Each method improves upon the last, saving you time and reducing the risk of errors, but ultimately they all leave you with a static snapshot of your data, separate from its live source.

At Graphed, we see these exact scaling challenges time and again. The spreadsheet gymnastics required to answer basic business questions is precisely why we automated the process. Instead of exporting data and wrangling it in Excel, we let you connect directly to all your sources like Google Analytics, Shopify, and Salesforce. From there, you can just ask in plain English - "Show me website sessions versus Shopify sales last month" - and we instantly build a live, auto-updating dashboard. This way, you spend your time acting on insights, not just chasing down data points.

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