How to Connect Postgres to Excel in 2024?

Last Modified: March 4, 2024 - 8 min read

Hannah Recker

If you want to learn how to easily connect PostgreSQL to Excel, this is your guide.

For three decades, PostgreSQL has been a cornerstone in the realm of relational database management systems (RDBMS), celebrated for its open-source nature and strict adherence to SQL standards.

However, the needs of sales and revenue teams diverge significantly from those of traditional SQL users.

These teams live and breathe spreadsheets, and many don’t have the time (or coding skills) to quickly and easily connect Postgres to Excel.

How to connect PostgreSQL to Excel? Learn about the different ways to pull data from PostgreSQL into Excel in this blog.

Best Ways to Connect PostgreSQL to Excel

Method 1 –  Coefficient

Integrating PostgreSQL with Excel has traditionally required a blend of technical expertise, significant setup time, and often the involvement of engineers or data teams.

100% no-code, Coefficient is the fastest and easiest way for technical and non-technical teams to connect PostgreSQL to Excel.

  1. One-time setup & no coding – Pull data from your PostgreSQL tables into Excel without custom SQL queries. As a note, Coefficient does also offer the ability to pull data via SQL queries and also GPT functionality that can help with your SQL queries.
  2. No more manual imports – Visualize PostgreSQL database tables with Coefficient’s data inline previewer, and point-and-click to choose the data you want to import.
  3. Unlock multiple database connections – Connect multiple databases to your Connected Spreadsheet and combine your PostgreSQL data with data from other sources, including databases, BI tools, and CRMs in a few clicks.

How to Connect Postgres to Excel with Coefficient

To install Coefficient, open Excel from your desktop or in Office Online.

Click ‘File’ > ‘Get Add-ins’ > ‘More Add-Ins’

Navigating the Excel menu to Install Coefficient

Type “Coefficient” in the search bar and click  ‘Add.’

Typing 'Coefficient' in the Excel add-in search bar to locate the plugin

A pop-up will open up. Follow the prompts to complete the installation.

Installation popup for Coefficient showing step-by-step guide to complete the installation in Excel

Once finished, you will see a “Coefficient” tab at the top navigation bar.

Click ‘Open Sidebar’ to launch Coefficient.

Display of the new Coefficient tab in Excel's top navigation bar after successful installation

To start your Postgres import to Excel, click ‘Import from…’ in the Coefficient menu.

Launching the Coefficient sidebar in Excel by clicking 'Open Sidebar' for PostgreSQL data import

Scroll down the list of data sources until you find PostgresSQL

Selecting 'Import from…' in Coefficient menu for pulling data from PostgreSQL into Excel

Choose whether to import from tables or custom SQL queries. With Coefficient, you can perform SQL queries on top of your PostgreSQL database directly from Excel.

Click ‘From Tables & Columns.’

Scrolling down Coefficient's list of data sources to find and select PostgreSQL for data import

Provide the connection details, such as the host, database username, password, port, and IP addresses.

Inputting connection details for PostgreSQL database within Coefficient to establish linkage

NOTE: All 3 of the Coefficient IP Addresses will need to be whitelisted in order to successfully connect to PostgreSQL as a data source.

whitelist IPs for Coefficient access

After connecting to Coefficient to your Postgres database, you will be returned to the Import Preview screen.

Select the table in your database that you would like to pull data from from the list on the left.

Previewing imported data from PostgreSQL in Coefficient before finalizing the data pull into Excel

In a few seconds, the Import Preview window will automatically populate with the first 50 rows of your dataset.

From here you can set the filters, sort the data, set limits or import a cloud pivot to customize your Postgres to Excel import.

Once finished, click the ‘Import’ button to continue.  

Preview Postgres data import to Excel

And in just a few clicks, you’ve completed your first data import from Postgres to Excel!

Configuring auto-refresh settings in Coefficient to keep PostgreSQL data updated in Excel

The last step of the process is to set up an auto-refresh to ensure your data is up-to-date.

Simply navigate to the side bar and choose a cadence (Hourly, Daily, or Weekly).

auto refresh posgres data in excel

After making your selection, click the blue button – that’s it.  

postgres refresh schedule in excel

Method 2 – Power Query or Office Scripts

Power Query is a code-based method for importing live data into Excel for Desktop. It allows technical users to discover, connect, combine, and refine data across a wide variety of sources.

  • Steps to Connect:
    • Open Excel on your desktop.
    • Go to the Data tab in Excel and select “Get Data”.
    • Choose “From Database” > “From PostgreSQL Database”.
    • Enter the PostgreSQL database details and select OK.

Office scripts is Power Query’s counterpart for Excel Web users. While it doesn’t provide a built-in connector to PostgreSQL like Power Query, technical users can use it to connect to PostgreSQL databases through a web service.  

Step 1 – Web Service Setup

Before you start with Office Scripts, your PostgreSQL data needs to be accessible via a web service. This could be an existing REST API that your organization provides, or you might need to create one. The service should accept HTTP requests and return data in JSON format.

  • Example Endpoint:
  • Access Method: GET or POST, depending on your setup.

Creating a Simple Web Service:

  • You could use frameworks like Express.js with Node.js to quickly set up a REST API if one isn’t available.
  • Your service should connect to your PostgreSQL database, run queries, and return the results as JSON.

Step 2 – Write the Office Script

Open a new workbook In Excel for the web.

Navigate to the Automate tab and click ‘New Script.’

nitiating an Office Script in Excel for Web to connect with PostgreSQL database through a web service

The Code Editor will open in the right corner of your spreadsheet. Click ‘Write a script’ to continue.

Creating a new script in Excel for Web's Automate tab to fetch data from a PostgreSQL database

Copy and paste the following script into the editor:

async function main(workbook: ExcelScript.Workbook) {

  // URL of your web service

  const url = “”;

  // Fetch data from the web service

  const response = await fetch(url);

  const data = await response.json(); // Parse JSON data

  // Example: Assume data is an array of objects [{id: 1, value: “A”}, …]

  const sheet = workbook.getActiveWorksheet(); // Get the active sheet

  // Loop through the data and add it to the worksheet

  data.forEach((item, index) => {

    sheet.getCell(index, 0).setValue(; // Assuming first column is IDs

    sheet.getCell(index, 1).setValue(item.value); // Assuming second column is values




  • You’ll need to modify the script based on your web service’s response structure and where you want to place the data in your Excel workbook.
  • Make sure the script has the necessary permissions to run if your web service requires authentication.
Entering the data fetching script in the Code Editor within Excel for Web to access PostgreSQL data

Step 3 – Run your script

Test your script to ensure it works. Then, save it and click the ‘Run’ button.

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run postgres script to excel

Input your script into the Code Editor. It may look like the example below:

async function main(workbook: ExcelScript.Workbook) {

  // URL of the web service delivering live data

  const url = “”;

  // Fetch data from the API

  const response = await fetch(url);

  const data = await response.json();

  // Assuming data is an array of objects

  // where each object is a record with `name` and `value`

  const sheet = workbook.getActiveWorksheet();

  // Starting cell to write data

  let rowIndex = 1;

  for (const item of data) {

    // Writing name and value in the first and second column, respectively






code editor for postgres to excel

Note: Modify the URL to the actual API you’re using and adjust the parsing according to the structure of your JSON data.

Important Considerations:

  • API Limits and Authorization: Many APIs have usage limits or require API keys for access. Ensure your script adheres to the API’s guidelines and includes necessary authorization headers.
  • Cross-Origin Requests: Currently, Office Scripts support making fetch requests to external services. However, ensure the web service supports CORS (Cross-Origin Resource Sharing) if you’re accessing it from a domain other than its own.
  • Data Parsing and Error Handling: Ensure your script can handle unexpected inputs without failing.

Step 3: Run the Script

Save your script and click the Run button to execute it.

run script code for postgres to excel

The script will fetch data from the specified API and populate your worksheet starting from the specified cell.

Method 3 – Zapier

Zapier enables connections between PostgreSQL and Excel through automated, code-free workflows known as Zaps.

These Zaps can be tailored to perform a variety of tasks, such as:

  • Updating your PostgreSQL database whenever changes are made in Excel cells
  • Adding a new row in Excel based on data from PostgreSQL
  • Reflecting updates in Excel in response to modifications in PostgreSQL

Note: PostgreSQL is a premium connector, which requires at least Zapier’s Professional plan.

To set up a Zap, follow these steps:

Link your PostgreSQL and Excel accounts.

Choose Excel or PostgreSQL as the start point for automation.

Linking PostgreSQL and Excel accounts in Zapier for automated data synchronization

Pick the action for the other app.

Selecting the trigger event in Zapier for initiating data transfer from PostgreSQL to Excel

Select the data to transfer, then test your automation and publish it.

Challenges with Using Zapier:

  • Setup and Maintenance: Zapier requires building custom Zaps, which can be complex and may need SQL knowledge or API use. This makes the process time-consuming and not straightforward.
  • Cost: Zapier can get expensive, especially with many integrations and large amounts of data.
  • User Experience: Using Zapier takes you out of Excel, disrupting the workflow.

The fastest way to export data from PostgresSQL? Coefficient.

Coefficient makes it easy for non-technical users to integrate data from Postgres to Excel.

It’s user-friendly, quick to set up, and is free to use!

Install Coefficient today to discover why sales and revenue teams rely on it every day.

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Hannah Recker Growth Marketer
Hannah Recker was a data-driven growth marketer before partying in the data became a thing. In her 12 years experience, she's become fascinated with the way data enablement amongst teams can truly make or break a business. This fascination drove her to taking a deep dive into the data industry over the past 4 years in her work at StreamSets and Coefficient.
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