Here's a [public link](https://www.dropbox.com/s/rg0ivpg7nq798ry/z1.html?dl=0) to an example html file. I would like to extract each set of CAN and yearly tax information (example highlighted in red in the image below) from the file and construct a dataframe that looks like the one below.

Target Fields
=============

[![enter image description here](https://i.stack.imgur.com/mqYin.jpg)](https://i.stack.imgur.com/mqYin.jpg)

Example DataFrame
=================

```html
| Row |          CAN | Crtf_NoCrtf | Tax_Year | Land_Value | Improv_Value | Total_Value | Total_Tax |
|-----+--------------+-------------+----------+------------+--------------+-------------+-----------|
|   1 | 184750010210 | Yes         |     2016 |      16720 |       148330 |      165050 | 4432.24   |
|   2 | 184750010210 | Yes         |     2015 |      16720 |       128250 |      144970 | 3901.06   |
|   3 | 184750010210 | Yes         |     2014 |      16720 |       109740 |      126460 | 3412.63   |
|   4 | 184750010210 | Yes         |     2013 |      16720 |       111430 |      128150 | 3474.46   |
|   5 | 184750010210 | Yes         |     2012 |      16720 |        99340 |      116060 | 3146.17   |
|   6 | 184750010210 | Yes         |     2011 |      16720 |       102350 |      119070 | 3218.80   |
|   7 | 184750010210 | Yes         |     2010 |      16720 |       108440 |      125160 | 3369.97   |
|   8 | 184750010210 | Yes         |     2009 |      16720 |       113870 |      130590 | 3458.14   |
|   9 | 184750010210 | Yes         |     2008 |      16720 |       122390 |      139110 | 3629.85   |
|  10 | 184750010210 | Yes         |     2007 |      16720 |       112820 |      129540 | 3302.72   |
|  11 | 184750010210 | Yes         |     2006 |      12380 |       112760 |             | 3623.12   |
|  12 | 184750010210 | Yes         |     2005 |      19800 |       107400 |             | 3882.24   |
```

Additional Information
======================

If it is not possible to insert the CAN to each row that is okay, I can export the CAN numbers separately and find a way to attach them to the dataframe containing the tax values. I have looked into using beautiful soup for python, but I am an absolute novice with python and the rest of the scripts I am writing are in Julia, so I would prefer to keep everything in one language. 

Is there any way to achieve what I am trying to achieve? I have looked at [Gumbo.jl](https://github.com/porterjamesj/Gumbo.jl) but can not find any detailed documentation/tutorials.