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Python .XLS files from webpage

$10-20 USD

Cancelled
Posted almost 3 years ago

$10-20 USD

Paid on delivery
-- task -- Partial working Code in thread description -- Skills needed: - Python and Selenium Good to Have: - PowerBi Objective: - > Build webscrap extractor to download all files (.xls, .csv, .pdf) in a webpage Refer to the thread description details with code working partially: [login to view URL] Quick description: 1. Download the .xls, .csv and .pdf from the tables "Diretorios" and "Arquivos", look for the <td <i tags. - Each link on the "Diretorio" table opens other different files on the right tab aside "Arquivo" 2. Concatenate the files extracted into a folder or panda data frame (I guess) *** Python code will be used inside PowerBi to retrieve all the documents extracted Website Needed: [login to view URL]
Project ID: 30619714

About the project

Remote project
Active 3 yrs ago

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About the client

Flag of BRAZIL
sao paulo, Brazil
0.0
0
Member since Oct 10, 2019

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