Data scaping from five websites. Partly manual.

I want help with collecting e-mail addresses from five webbsites. In most cases the addresses are one or two clicks away. Often you need to click Office (kontor) before the person shows up. For the firm Aspia there are only names, no e-mail addresses. The freelancer must convert names to e-mail addresses with the formula firstname.lastname(a)aspia.se
The rest of the webbsites has e-mail addresses. There will be about 1100 persons in total. The freelancer should deliver a spreadsheet with three columns: First name, last name, e-mail address.

Please collect:
All e-mail adresses under the different offices “kontor” under this site.
https://www.aspia.se/kontakt/alla-kontor/
For example, under “Bollnäs” there are three names
Sandra Larsson
Should be converted to
First name: Sandra
Last name: Larsson
E-mail: Sandra.Larsson(a)aspia.se
å in a name converts to a
ä=a
ö=o

All e-mail adresses under the different offices “kontor” under this site.
https://ludvig.se/vara-radgivare/?employee_search=&employee_location=&employee_role=&employee_competence=#catalyst-one-employees
Under “välj kontor” there are about 120 offices (kontor). If you pick and office a number of employees will show. Collect first name, last name and e-mail, please. Should be about 1000 persons under Ludvig.se
Four persons here:
https://www.accountor.com/sv/sweden/kontor/redovisningsbyra-funasdalen
About 20 persons here:
https://kpmg.com/se/sv/home/about/kontakta-oss.html
Talenom has about 25 kontor: https://talenom.com/sv-se/kontakt/
Each kontor has a manager. In Göteborg and Kungsbacka it’s Jonas Westgärds. In Borås it’s Johannes Lönqvist.