How to Handle Tables in Selenium ?

Learn via video courses
Topics Covered

Overview

Efficient table processing in Selenium is critical for successful test automation and web application development. By understanding the structure of HTML tables, using appropriate positioning strategies, and applying various data extraction, validation, and transformation techniques, you can simplify your automation work and ensure strong test coverage.

Introduction

Tables are a common element in web applications and are often used to represent structured data. For automated testing using Selenium, efficient table processing is crucial for data validation, data extraction, and various operations.

Locating Tables

Locating Tables by XPath

XPath is a powerful query language that allows you to traverse the structure of HTML and find elements based on their attributes, text content, or location. You can use XPath to find the location of an array using the unique attributes of the array or the surrounding elements.

By ID attribute:

By class attribute:

Locating Tables by CSS Selectors

CSS selectors provide a concise way to locate elements based on their attributes, classes, or hierarchical relationships within the HTML structure. By using CSS selectors to position tables, you can take advantage of the table's unique attributes or any classes that apply to it.

By ID attribute:

By class attribute:

Retrieving Table Data

Obtaining Total Rows and Columns in Table

  • Total number of rows:

    If you want to get the total number of rows in an array, you can use the findElements method to find all the rows in the array and then use the size() method to calculate the number.

  • Obtaining Total Columns:

    You can determine the total number of columns in a table by looking at the first row (head row) and counting the number of columns in it. This assumes that all subsequent rows have the same number of columns as the header.

Accessing Cell Data by Row and Column Index

If you want to access data in a specific cell, you can find the row by index, and then find the corresponding cell element in that row by the index. Finally, you can get the text or value of the cell with an appropriate method like getText().

  1. Iterating through rows:

    You can iterate over the rows of an array using a loop and the findElements method to retrieve all rows of the array. You can then take action on each line as needed.

  2. To access cells in a row:

    If you want to interact with individual cells sequentially, you can use the findElements method of the row element to get all the cell elements. You can then access specific cells based on the index or perform operations on each cell.

  3. Clicking Buttons or Links within a Table:

    Tables often contain elements such as buttons or links. If you want to interact with these table elements, you can use XPath or CSS selectors to locate them relative to the row or cell they are in. After that, you can click the desired button or link using the click() method.

Extracting Table Data

  • Extracting Cell Data:

    To extract data from a particular table cell, you can locate the cell element and retrieve its text or value using the getText() or getAttribute() methods.

  • Extracting Column Data:

    If you want to extract data from a specific table column, you can iterate row by row and extract the values from the corresponding cells in the column.

  • Extracting Row Data:

    If you want to extract data from a specific table row, you can find the position of the element in the row and iterate over its cells to get the values.

Table Filtering and Sorting

  • Table Filtering:

    To filter data in a table, you usually use filters or drop-down menus provided by the website. You can search for a filter element in an array, enter filter criteria, and run a filter function.

  • Table Sorting:

    To sort the data in the table, you use the sorting elements provided by the application, such as column headings or sort buttons. You can search for sort order in a table, click it to change the sort order, and check the order of the data in the table.

Handling Dynamic Tables

Identifying and Handling Dynamically Generated Tables

  • Identifying Dynamically Generated Tables:

    Since the structure or content of the table can change dynamically, traditional detection methods such as XPath or CSS selectors may not be sufficient. In such cases, you can use dynamic identifiers or attributes associated with the array to locate and interact with the array.

  • Waiting for Table to Load:

    Dynamically created tables may take some time to load or populate with data. You can ensure that a table is fully loaded before interacting with it using direct or indirect waits in Selenium. An explicit wait such as WebDriverWait allows you to wait until a certain condition is met before taking further action.

  • Interacting with Dynamically Generated Tables:

    Once you've found a dynamically created array, you can use Selenium's standard array manipulation techniques to extract, validate, or interact with specific elements of the array.

Dealing with Tables that Have Variable Row and Column Counts

  • Locating the Table:

    To locate the table element with variable row and column counts, you can utilize other stable identifiers or patterns within the page structure. These identifiers could include surrounding elements, unique classes, or other contextual information.

  • Dynamic Row and Column Iteration:

    If you want to handle tables with a variable number of rows and columns, you can use dynamic iteration techniques to process and manipulate the contents of the table. Since the number of rows and columns can change, it is important to dynamically adjust the iteration based on the current state of the table.

  • Conditional Checks:

    When dealing with a variable number of rows and columns, you may need to perform conditional checks to handle situations where expected elements are missing or the table structure changes. These controls allow you to gracefully handle changes to table contents.

Pagination and Scrolling

  • Pagination Handling:

    Page controls usually consist of elements such as next, previous, and page number links. You can find these elements and interact with them to navigate through the pages of the table to automate page changes.

  • Scrolling Handling:

    Tables may scroll more rows than the user scrolls down the page. To handle scrolling in Selenium, you can use JavaScript to scroll the page and load more rows.

  • Combining Pagination and Scrolling:

    For scenarios where the table uses both pagination and scrolling, you can combine the above approaches to navigate through the pages and load additional rows as needed.

Best Practices for Table Handling in Selenium

  • Use explicit expectations to ensure that the table and its contents are fully loaded before interacting with them. An explicit wait, such as WebDriverWait, allows you to wait for certain conditions to occur, reducing synchronization issues.
  • Use appropriate data structures such as lists, maps, or custom objects to store and manipulate tabular data. This facilitates efficient acquisition, processing, and control of data.
  • Apply data validation techniques to compare expected values with actual values obtained from the table. Verify that the data conforms to the expected format, type, or constraints.
  • Use table semantic structures like <thead>, <tbody>, and <th> tags to find table headers and distinguish them from regular table cells. This helps in accurate data extraction and validation.

Conclusion

  • suitable locators, inclusive of IDs, classes, or attributes, to correctly discover the desk detail on the internet page.
  • Iterate via rows and cells to get admission to and have interaction with desk elements. Click buttons, enter facts, or cause occasions on the desk as required.
  • Follow great practices for desk coping within Selenium, inclusive of the use of solid locators, modularizing code, validating facts, and coping with empty or dynamic tables.
  • Regularly assess and replace your desk coping with code because the utility evolves. Validate the desk shape, regulate locators, and replace facts extraction techniques as needed.