Data Scraping - Competitor feedback

I need someone who can look at competitor recommendation websites for certain businesses and then work out who their customers are from people who have left comments of that business.

This role is best suited to someone in the UK or at least very familiar with what names are common / uncommon in the UK.

There will be names that are too generic and you cannot find the exact person for the business on companies house (like John Smith, Adam Cox, Joe Frost) , so they can be skipped. I need you to find exact businesses and be 100% sure that the company you find belongs to the person who left the comment.

This task will take accuracy and care, rather than quickly gathering as much data that wont be needed.

The company on Companies House needs to show it is ACTIVE, not anything else. Otherwise move on to the next record.

EXAMPLE

For example there is a comment from someone called Louise Lamberti (which isnt a very common name)

Then i searched the name on Companies House and find the company she has:
https://find-and-update.company-information.service.gov.uk/officers/0jr3CzJOVyJKznJUNuQQgwaAZH8/appointments
There is no one else with this name as an Officer on Companies House so i am pretty sure this is the company it relates to.

Then i need someone to gather as much information as possible on the business which the attached spreadsheet. I need named business email addresses and contact numbers - no personal email addresses!

Tab 1 holds information for the business that we need
Tab 2 are the different company names that you can search their feedback

If you need more clarification please let me know.

Looking for someone to work on this for an ongoing basis - will pay £10 per hour and expect to get around 40 records per hour.

PLEASE COULD YOU SEND ME AN EXAMPLE ON THE ATTACHED SPREADSHEET OF 2 RECORDS THAT YOU FIND SO I CAN TEST THE QUALITY OF YOUR WORK BEFORE I ACCEPT.

Happy to go through a video call to explain in more detail if this is required.

£10 per 100 records - ongoing project