LinkedIn companies contacts information extraction

Dear network, I explained the task briefly in the following video: [login to view URL] The goal of the project is to extract 3500 contacts from certain companies at the end of every month between and inclusive December 2021 and October 2022. You will be given the companies on the 20th of every month (2-3 days later this December), and expected to fill in the first sheet in the Excel file in the attachment in the following manner until the end of each month. The deadline for this task is 29.12.2021. Please look at the first sheet in the attachment. You will be provided the full company name, the FTE range and the industry of the company. The full company name will be enough to complete the task. Please provide the LinkedIn URL of the company in column E. In the second sheet, you find different employee positions divided in the 4 tiers. If there is an employee from a certain company on LinkedIn, whose current positions´ name contains one of the tier 1 descriptions, please put "1" in the column N in the first sheet respectively. If there are two employees from a company from the first tier, choose one randomly. Only one contact per company should be extracted. If there are no employees from a certain company containing a tier 1 description in the position name, switch to tier 2, if there are no in tier 2, switch to tier 3, if there are no in tier 3 than choose a random employee of the company that has LinkedIn a profile. After selecting the employee, extract its gender in the column F and if available its title (Dr. or Prof. Dr. or Dipl. Ing.) in the column I. First name should be in the column G, and the last name in the column H. The position containing a specific tier should be available in the column K. If the city where the employee resides in is available on its LinkedIn profile, please extract it in column J. If it is not available please write down the headquarters of the company provided in the companies URL. After an employee with the highest tier and all its wanted information have been extracted for 3500 companies, please extract the e-mail address of each employee and his phone number if available. In the third sheet, you have the standards that have to be met for the tasks. Until the standards are met, the milestones will not be released. You will always have the milestones paid for the following two months so that you know we are serious about the long-term collaboration. The total project reward will be divided into 11 equal monthly payments. Monthly Standards: 1. Contacts extracted: minimum 94.3% or 3300 out of 3500 -thereof Tier1: 25% or 825 out of 3300 -thereof Tier1 or 2: 80% or 2640 out of 3300 -thereof Tier1 or Tier 2 or Tier3: 95% or 3135 2. E-Mails found: 90.9% or 3000 -maximum bounce rate: 3% or 90 e-mails 3. Phone Numbers found: 36.4% or 1201 -maximum wrong numbers: 30% or 360 I am looking forward to our long-term cooperation Best Mihailo