Checking if an element exists with Python Selenium
β‘TLDR
Selenium provides methods like find_elements_by_*
that return an empty list when no element matches the given identifier, preventing a NoSuchElementException
.
Solid strategies for element locating
Embrace CSS selectors
Favour CSS selectors over the XPath for more efficient search and readability.
Generic function for the win
Craft a generic function to confirm if an element exists, regardless of the method used:
Explicit waits, the secret sauce
Explicit waits enhance reliability and beat time.sleep()
any day of the week:
Gracefully handling exceptions like a pro
Embrace try-except blocks for the smooth handling of exceptions:
More handy tips
- Use ID or name to locate elements whenever possible.
- Avoid LINK_TEXT due to potential localization or updates.
- Harness the power of XPath for complex web structures.
- Ensure correct script parameters to sidestep misfires.
- Add debug statements to trace glitches during
find_element()
. - Request developers to introduce unique IDs or names wherever feasible.
- Mind to set the implicit wait back to default after any changes.
Performance-Boosting Tips
Write performant scripts. Remember, every millisecond counts.
Wait but wisely
Distinguish between implicit wait, explicit wait, and fluent wait in Selenium.
- Implicit wait: The default waiting period before timing out when searching elements.
- Explicit wait: Halts execution until a specific condition is met.
- Fluent wait: Sets the maximum waiting time and polling frequency.
Best practices
- Minimize the use of waits; use them judiciously for best results.
- Prefer find_elements, itβs kinderβdoesnβt throw an exception when elements are not found.
- Always call
driver.quit()
when you're done to prevent leprechauns from wreaking havoc behind you! It's good housekeeping.
Going beyond existence
Checking an element's existence might not always suffice. Consider checking if it's visible and interact-able:
ξ’Linked
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