How to Scrape a Website and Place the Collected Data into a Google Sheet using n8n

by Brian Chappell

How to Scrape Web Data and Export It to Google Sheets Using

If you’re delving into data research but aren’t keen on developing a full-fledged app, you’re in the right place. In this tutorial, we’ll explore how to use, a powerful workflow automation tool, to scrape data from websites and export it directly into Google Sheets. This method is quick, efficient, and requires minimal coding.

1. Choosing Your Data Source: Our journey begins with selecting a website to scrape. In this demonstration, I’ve chosen a page listing SEO consultants as our data source.

2. Setting Up the HTTP Request Node: The first step in is to set up an HTTP request for the page. Simply grab the URL of your chosen website and configure an HTTP request node in Make sure to select the ‘GET’ method, and note that no authentication is required for this step.

3. Retrieving Initial Data: Upon executing the node, fetches a bulk of raw data from the website. This data is the foundation upon which we’ll build our organized dataset.

4. Extracting HTML Data: The next crucial step is to employ the HTML extraction node in This process involves pinpointing specific CSS key-value pairs to extract precise data elements from the page, such as the names of consultants, their start dates, and brief descriptions.

5. Organizing the Data: With the raw data in hand, the next phase is to structure it. facilitates this through scripting options in JavaScript or Python. This script organizes the data into a more readable format, aligning it into common columns and rows.

6. Exporting to Google Sheets: The final step involves exporting this neatly organized data into Google Sheets. You’ll need to authenticate your Google Sheets account in Remember, before you begin mapping data to Google Sheets, ensure you have an initial value set in the spreadsheet. This helps in accurate data mapping and seamless integration.

7. Mapping and Updating Data: In, select the option to ‘map automatically,’ aligning your data fields (like names, start dates, etc.) with the corresponding columns in Google Sheets. Execute this node, and voilĂ , your data is now in Google Sheets!

8. Final Result: Check your Google Sheets, and you should see each consultant’s name, their starting date, and a brief description, all neatly organized and ready for analysis.

This quick tutorial demonstrates the power and ease of using for web scraping and data integration into Google Sheets. It’s a simple yet effective method for anyone looking to conduct data research without the complexities of building a full-scale application.

Hope you find this guide helpful, and happy data scraping!

Posted in Workflows

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