Python web scraping and data munging script

I am looking for Python developer to create a script for downloading data from a web page. The same script can also be used for extracting similar formatted tabular data from HTML page saved to disk, and XLS file containing similar data in a worksheet. The extracted data is saved to file as a text CSV file. Usage: scriptname --code=abc --source=internet --filename=/path/to/file Arguments: *code*: Required. This determines the data to be downloaded (if source is internet) If data is being read from file, this tells us what the data in the file refers to. *filename*: Optional. This is only required if the source is NOT internet *source*: Optional. Valid choices are 'internet' (default) OR 'xlsfile' OR htmlfile **Notes** Sample Url pages: a. [login to view URL] b. [login to view URL] c. special case of the two above: [login to view URL] Sample xls files to be parsed have been attached Sample html files to be parsed have been attached The format for data stored in the XLS and HTML local disk files are similar to the HTML page here: [login to view URL] (which is very similar to the sample Url pages (it is an earlier version). The script saves data to file using the following naming convention and and column headers (in the CSV file): output file name: [login to view URL] output file format (CSV headings): Type, price, Strike, AQ Bid, AQ Ask, Bid Size, Bid, Ask, Ask Size, Last, Vol, Time (CET), Open, High, Low, Day volume, Total premium, O.I., Settl. ## Deliverables 1) All deliverables will be considered "work made for hire" under U.S. Copyright law. Employer will receive exclusive and complete copyrights to all work purchased. (No 3rd party components unless all copyright ramifications are explained AND AGREED TO by the employer on the site per the worker's Worker Legal Agreement). ## Platform Cross platform