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Learn how to fix the issue of duplicate emails in your Python Selenium script caused by incorrect loop indentation. --- This video is based on the question https://stackoverflow.com/q/65605010/ asked by the user 'python2134' ( https://stackoverflow.com/u/14766754/ ) and on the answer https://stackoverflow.com/a/65605094/ provided by the user 'John Gordon' ( https://stackoverflow.com/u/494134/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Duplicate Results When Sending Email Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- Resolving Duplicate Results When Sending Email in Your Python Selenium Script Sending emails from a Python script can be straightforward, but when duplicates flood your inbox, it can cause confusion and create a headache. This is a common problem many developers encounter, especially when dealing with loops in their code. In this guide, we’ll walk through a solution to eliminate those annoying duplicate emails in your email notifications generated from a Selenium web scraping script. The Problem Consider the following situation: You have a Python Selenium script that scrapes data from a list of URLs. For each URL, the script checks for missing amounts and subsequently sends emails when amounts are identified as missing. However, upon execution, this approach results in a flood of duplicate emails being sent to your inbox. Expected vs. Actual Results Expected Output: "Missing filename Test in the amount of $40,752.25" "Missing filename Test2 in the amount of $64,452.96" Actual Output: "Missing filename Test in the amount of $40,752.25" (repeated) "Missing filename Test2 in the amount of $64,452.96" (repeated) This outcome suggests that the email functionality is executing more times than anticipated, causing you to receive multiple copies of the same email. Analyzing the Code The issue primarily stems from a misunderstanding of loop scopes in Python. Let’s break down the critical part of the code that leads to these duplicate emails. [[See Video to Reveal this Text or Code Snippet]] This block of code is nestled within the loop that goes through each URL: [[See Video to Reveal this Text or Code Snippet]] Why It Happens Because the email-sending logic is indented within the URL-loop, it executes every time the loop advances. Therefore, if you go through a list of five URLs and each URL has missing amounts, the script sends out five emails instead of just one after processing all URLs. The Solution To address this problem, we need to modify the placement of the email-sending code. Follow these steps: Change the Indentation: Move the email-sending block outside of the URL loop. By placing it after the loop, it will run only after all URLs have been processed: [[See Video to Reveal this Text or Code Snippet]] Final Check: Ensure that amount_ack_missing_l is correctly populated with unique entries only if an amount is truly missing, as you would like to send an email only once for each unique missing amount. By making these adjustments, you will eliminate the duplicates and streamline your email notifications. Conclusion Receiving duplicate emails in response to missing data can be a frustrating experience, but with a little understanding of loop structures in Python, it can easily be resolved. Ensure that your email-sending commands are executed only after you’ve fully processed all relevant data, thus leading to a cleaner and more manageable notification system. Reading through this guide can save you from unnecessary clutter in your inbox and enhance the efficiency of your web scraping scripts! If you have any questions or need further clarification, feel free to reach out in the comments below.