Scraping site with tables with different header names and column numbers

Thank you for all the help! The tool has been very useful so far, but I've come across a small issue and searching forums didn't reveal anything.

Describe the problem.

I am trying to scrape a website with multiple tables, with unique headers, and different numbers of columns. For more context, the site is a car information website, so the table columns headers are different. Like this: Car Make/ Model - Trim 1 - Trim 2 - Trim 3 etc... Problems are that a. Trims are named differently, and b. different cars have different numbers of trims. Scraper gets confused and returns "null" for all other table values except the one that I used as an example

For example:
Table 1 is Honda Civic - SiR - VTi - ESi - EX (5 columns wide), while
Table 2 is Toyota Corolla - G - V - Q (4 Columns wide only).

Url: http://myk384.blogspot.com/2014/12/honda-civic-generation-71-2001-2003.html

Sitemap:
{"_id":"usedcarprofilescompilation","startUrl":["http://myk384.blogspot.com/2013/01/car-profiles-compilation.html#more"],"selectors":[{"id":"vehiclename","type":"SelectorLink","selector":"tr:nth-of-type(n+2) a","parentSelectors":["_root"],"multiple":true,"delay":0},{"id":"carversions","type":"SelectorLink","selector":"div.post-body > a:nth-of-type(n+2)","parentSelectors":["vehiclename"],"multiple":true,"delay":0},{"id":"cartable","type":"SelectorTable","selector":"div.post-body table","parentSelectors":["carversions"],"multiple":false,"columns":[{"header":"OWNERSHIP DETAILS","name":"OWNERSHIP DETAILS","extract":true},{"header":"VTI-S","name":"VTI-S","extract":true},{"header":"RS","name":"RS","extract":true},{"header":"VTI","name":"VTI","extract":true},{"header":"LXI","name":"LXI","extract":true},{"header":"CE","name":"CE","extract":true}],"delay":0,"tableDataRowSelector":"tr:nth-of-type(n+2)","tableHeaderRowSelector":"tr:nth-of-type(1)"},{"id":"vehiclenamegenyear","type":"SelectorText","selector":"h3.post-title","parentSelectors":["carversions"],"multiple":false,"regex":"","delay":0},{"id":"vehicleimage","type":"SelectorImage","selector":"div.separator img","parentSelectors":["carversions"],"multiple":false,"delay":0}]}

Also, this may or may not be helpful, but the ROWS ARE CONSTANT. If there's a need to have commonality across the different tables, can it be rows instead of columns? Ex: all tables have the following, constant rows: Length, Width, Height, Curb Weight, etc.

You can select the table with HTML selector and then parse the table manually.