How to Handle Web Table in Selenium
Working with Web Tables in Selenium: Best Practices
How to Handle Web Table in Selenium
Handling web tables in Selenium is crucial for interacting with data presented in a structured format on a web page. Web tables are commonly used to display information like user data or product listings, and automating interactions with these tables can help improve test efficiency and accuracy. Selenium provides methods to locate and extract data from table elements, allowing testers to verify data integrity, perform data-driven testing, and validate the functionality of web applications. By effectively handling web tables in Selenium, testers can streamline test automation processes and easily validate the presentation and functionality of tabular data on web pages.
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1 - Identify the table: Use XPath or CSS selectors to locate the web table element on the webpage.
2) Get the number of rows and columns: Find out the total number of rows and columns in the table to iterate through them later.
3) Iterate through rows: Use loops to iterate through each row in the table.
4) Iterate through columns: Within the row loop, iterate through each column to access the data within.
5) Retrieve cell data: Extract text or other elements from each cell for validation or manipulation.
6) Perform comparison or validation: Use the retrieved data to perform checks or validations as needed.
7) Handle dynamic content: Account for dynamic content that may alter the table structure during automation.
8) Implement wait strategies: Utilize explicit waits to ensure that the table elements are loaded before interacting with them.
9) Handle pagination: If the table spans multiple pages, implement logic to navigate through pages and fetch data.
10) Use data structures: Utilize data structures like lists or dictionaries to store and manage the table data effectively.
11) Implement error handling: Incorporate try catch blocks to handle any exceptions that may occur during table handling.
12) Perform data manipulation: Perform data manipulation tasks like sorting, filtering, or formatting the table data.
13) Manage scrolling: Handle horizontal and vertical scrolling if the table is large and not fully visible.
14) Implement reporting: Generate detailed reports to track the table handling process and outcomes for analysis.
15) Practice data driven testing: Use external data sources to validate data in the table and ensure its accuracy as part of a comprehensive training program for students.
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