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Begin by logging into your Typeform account at [Typeform's website](https://www.typeform.com/). Use your registered email and password to access your account dashboard where all your forms are listed.
Once logged in, locate and click on the specific Typeform you want to export data from. In the form's dashboard, navigate to the 'Results' section. This section displays all the responses collected from your Typeform.
In the 'Results' section, look for the export options. Typeform typically offers an export feature directly in the interface. Click on the 'Export' button to open export options.
Within the export options, you'll be prompted to choose a file format for your data export. Select 'CSV' as the export format. CSV (Comma-Separated Values) is a widely-used format that can be easily opened and manipulated in spreadsheet software like Excel or Google Sheets.
Before exporting, you may have the option to configure certain settings, such as selecting specific response fields or data ranges. Adjust these settings according to your needs, ensuring you include all the necessary data in the export.
After configuring the export settings, proceed with downloading the CSV file. Typeform will prepare the data and prompt you to download the file to your local computer. Choose a destination folder where you want the CSV file to be saved.
Once the download is complete, navigate to the location where you saved the CSV file. Open it using spreadsheet software like Microsoft Excel or Google Sheets to verify the data. Ensure all responses are accurately captured and ready for any further processing or analysis you may need.
By following these steps, you can efficiently transfer your Typeform data to a local CSV file 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.
Typeform makes collecting and sharing information comfortable and conversational. It's a web-based platform you can use to create anything from surveys to apps, without needing to write a single line of code.
Typeform's API provides access to a wide range of data related to surveys and forms. The following are the categories of data that can be accessed through Typeform's API:
1. Form data: This includes all the questions and responses from a form or survey.
2. Response data: This includes all the responses submitted by users for a particular form or survey.
3. User data: This includes information about the users who have responded to a form or survey, such as their name, email address, and other contact details.
4. Analytics data: This includes data related to the performance of a form or survey, such as the number of responses, completion rates, and other metrics.
5. Theme data: This includes information about the visual appearance of a form or survey, such as the colors, fonts, and other design elements.
6. Webhook data: This includes data related to the integration of a form or survey with other applications, such as the data that is sent to a third-party application when a form is submitted.
Overall, Typeform's API provides access to a comprehensive set of data that can be used to analyze and optimize the performance of forms and surveys.
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:
