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Help CenterAutomation DevelopmentWorking with Variables and Data

Working with Variables and Data

Last updated July 27, 2024

Variables and data management are crucial elements in building robust and flexible automation workflows in UiPath. Variables act as containers to store and manipulate data during the execution of your automation projects. Understanding how to work with variables effectively is essential for creating dynamic and reusable workflows.

Understanding Variables:

  • Data Storage: Variables are used to store different types of information, including:
  • Text: Strings of characters.
  • Numbers: Integers and decimals.
  • Dates: Dates and times.
  • Booleans: True or false values.
  • Collections: Lists, arrays, and dictionaries for organizing multiple values.
  • Scope: Variables have a defined scope, determining where they can be accessed within your workflow:
  • Global Scope: Accessible from anywhere within the project.
  • Local Scope: Only accessible within a specific activity or sequence.
  • Argument Scope: Used to pass data between different parts of a workflow.

Declaring Variables:

1. **Variable Panel:** Open the "Variables" panel in UiPath Studio (usually on the left-hand side).

2. **Create a New Variable:**

Assigning Values to Variables:

  • Assign Activity: Use the "Assign" activity to set the value of a variable.
  • Drag the "Assign" activity from the "Activities" panel to the workflow designer.
  • Double-click the "Assign" activity.
  • In the "To" field, select the variable you want to assign a value.
  • In the "Value" field, enter the value you want to assign, or use a variable or expression to dynamically calculate the value.

Using Variables in Activities:

  • Input Fields: Use variables to provide data to activities. For example, you can use a variable for the "URL" property in the "Navigate To" activity.
  • Output Fields: Use variables to store data retrieved from activities. For example, you can use a variable to store the text extracted using the "Get Text" activity.

Example Workflow:

Let's say you want to create a workflow that greets a user by name:

1. **Declare a Variable:** Create a global variable named "userName" of type "String."

2. **Prompt for Name:** Use an input box or a "Type Into" activity to capture the user's name and store it in the "userName" variable.

3. **Display Greeting:** Use a "Message Box" activity to display the greeting, including the stored "userName" variable.

Advanced Data Management:

  • Collections: Work with lists, arrays, and dictionaries to organize and manage large amounts of data.
  • Data Scraping: Extract data from websites or documents using dedicated activities.
  • Data Tables: Create data tables to store, manipulate, and process data in your workflows.

Best Practices:

  • Descriptive Names: Choose meaningful names for your variables to make your workflows more readable and understandable.
  • Scope Awareness: Use the appropriate variable scope to avoid accidental modifications and ensure data integrity.
  • Data Validation: Validate data input to prevent errors and ensure the correctness of your automation processes.
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