End result shall be a csv file or a google spreadsheet with the following column structure;

“Address, City, Zipcode, Name”

“Zipcode” shall always be the string “Malmö”, for each row.

Iterate a parse loop on the following actions through the html file;

Find a string “Malmö<br />”

Parse backwards (leftwards) from this string until you find the first “<br>” tag.

Extract the string located between the found “<br />” tag and “Malmö<br />”, in the example below “211 77 ”.

Put this string as Zipcode.

Parse leftwards until you find the first string “<p>”.

Check if the string between the “<br>” tag and the “<p>” tag contain the string “lgh [4 digit number]”. If so, check if the 4 digit number start with “10”.

If the number start with “10”, remove the “lgh [4 digit number]” from thefull string between the “<br>” and the “<p>” tag and place the rest as Address.

If no “lgh [4 digit number]” is present in the string checked in step 9, put the full string between the “<br>” and the “<p>” tag as Address.

Parse leftwards from the “<p>” tag, until you find the first string “ år”.

Copy the number immediately to the left of this “ år” string, and add it first to the string present between the “</a>” and the “</i>” tag leftwards of the number, and place the combined result as Name.

Iterate a new loop and keep looping until the end of the html file.

</i> Juväng</a><span>, 40 år</span></h3><div style="width: 420px"><div class="col adress"><p>Einar Hansens Esplanad 14 lgh 1003<br>211 77 Malmö<br />

Would render this row;

Einar Hansens Esplanad 14 , Malmö, 211 77 , 0Juväng