Monitoring of progress and task analytics
A quick, automated way to monitor the status of work and the number of uploaded files across all active ("In Progress") tasks on the platform for certain companies was needed.
An autonomous Python script was developed that uses Selenium and Beautiful Soup for:
Navigating a complex tabular structure.
Identifying and filtering only those cells (Cell) that have the status "In Progress" for certain companies.
Clicking into each found cell for in-depth parsing of information using bs4 about the number of uploaded photos for each issue.
Generating a detailed report that contains the exact number of uploaded photos for each task, as well as complete contextual information (block, floor, side, etc.) for accurate identification of issues.
As a result, daily, automated reporting on work progress was provided. The client received clear data on the current status of task execution without the need for manual checks, allowing for immediate identification of "bottlenecks" and resource management.
An autonomous Python script was developed that uses Selenium and Beautiful Soup for:
Navigating a complex tabular structure.
Identifying and filtering only those cells (Cell) that have the status "In Progress" for certain companies.
Clicking into each found cell for in-depth parsing of information using bs4 about the number of uploaded photos for each issue.
Generating a detailed report that contains the exact number of uploaded photos for each task, as well as complete contextual information (block, floor, side, etc.) for accurate identification of issues.
As a result, daily, automated reporting on work progress was provided. The client received clear data on the current status of task execution without the need for manual checks, allowing for immediate identification of "bottlenecks" and resource management.
Rovno 
Available for hire