Lumi | Desktop App that offers a collection of tools to create | Dektop Application library

I believe you only need to do a countourf:

The tables are generated dynamically by JavaScript running in the browser.

Reviewing the page source, one can get enough of an idea to write a regex to extract only the relevant strings defining the table html of interest. You can concatenate the extracted regex matches for each table, into a single string, for each table, parse with an html parser, then select the table.

Those 2 tables need to be reversed, from the order they appear in the page source, to match what you see on the page, and column bound together to create a single DataFrame.

The first column visible on the webpage needs to be pulled in separately, without relying on html_table(), and added to the front of DataFrame. A possible re-factor might merge this step into the existing function via use of css selectors)

You need to restructure your code.

remove the flask_sqlalchemy import from models.py and add it in routes.py

bring this line just before app.route(/register)....

try:

It seems the html is intentionnaly malformed in the raw source so you'll have to restructure it before parsing the table. The following uses a series of regex to get the table parsable :

The default parser for read_html is lxml, which is not able to parse your document. Switching to html5lib (Beautifulsoup 4) does the trick.

Below is your code with the addition of a flavor parameter.

You can try post the url that is being used to get the data. The return will be in a JSON format

I used the following url

Each table as a unique caption as @match said.

This is an complete example that gets only the table you have marked in image.

Caption of table is IBrX-50

You should consider querying to XML report =>location => day ==> hour in order . Give this a go: