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Begin by logging into your PrestaShop admin panel. Navigate to the section where the data you need is located, such as Products, Customers, or Orders. Use the built-in export feature to download the data as a CSV file. This option is typically found under the "Export" button or similar within the data management section.
Open the exported CSV file using a spreadsheet application like Microsoft Excel or Google Sheets. Review the data to ensure it is correctly formatted and contains all the necessary information. Make any adjustments or clean up the data if needed, such as removing unnecessary columns or rows.
After making the necessary changes to your CSV file, save it on your computer. Ensure the file is saved in a location you can easily access, and verify the file format remains as CSV to maintain compatibility with Google Sheets.
Open your web browser and navigate to Google Sheets by visiting https://sheets.google.com. Log in with your Google account if you are not already logged in. Create a new spreadsheet by clicking on the "+ Blank" option.
In your new Google Sheets document, click on "File" in the top menu, then select "Import." Choose the "Upload" tab and click on "Select a file from your device." Locate and select the CSV file that you prepared earlier. Follow the import options to set up your data, choosing "Replace current sheet" or "Insert new sheet(s)" as needed, and ensure the delimiter is set to "Comma."
Once the data is imported, review it within Google Sheets to ensure everything appears correctly. Adjust column widths, apply formatting like bold headers, and use functions to analyze or manipulate the data as needed. This step helps in making the data more readable and actionable.
If you need to regularly update the data, consider setting a reminder to manually repeat the process at your desired frequency. While this guide does not use automated third-party integrations, you can streamline the process by saving your CSV export and import settings, making future updates quicker and more efficient.
By following these steps, you can transfer data from PrestaShop to Google Sheets without relying on third-party tools.
FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
PrestaShop is an open-source e-commerce platform whose cutting-edge technology powers over 300,000 e-commerce businesses globally. The PrestaShop mission is to allow the open-source community to “put their heads together” to develop superior eCommerce software—which they achieved in 2016, winning CMS Critic Award for Best eCommerce Software. The perfect solution for creating and growing an online business, PrestaShop provides all the features needed to achieve success.
PrestaShop's API provides access to a wide range of data related to e-commerce stores. The following are the categories of data that can be accessed through PrestaShop's API:
1. Products: Information related to products such as name, description, price, stock, images, and categories.
2. Customers: Data related to customers such as name, email, address, and order history.
3. Orders: Information related to orders such as order number, customer details, products ordered, and payment information.
4. Categories: Data related to product categories such as name, description, and parent categories.
5. Manufacturers: Information related to manufacturers such as name, description, and logo.
6. Suppliers: Data related to suppliers such as name, address, and contact information.
7. Carriers: Information related to shipping carriers such as name, description, and shipping rates.
8. Employees: Data related to employees such as name, email, and access permissions.
9. Languages: Information related to languages used in the store such as name, code, and translations.
10. Currencies: Data related to currencies used in the store such as name, code, and exchange rates.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
