Clean Company Contact (Phone & mailing address) Data Project 2

Person must have broadband internet access. The attached excel file contains Company contact information (i.e, phone number and mailing address) extracted from websites. The raw extracted data is in column C and was seperated/parsed into columns D-K. I need to have someone look over the parsing and make sure the data has been correctly parsed Refer to the raw data in column C to check that columns D-K have the correct information. Additionally, the Company Name column is frequently wrong or missing. Please compare the Company Name info to the URL (i.e., web address) to see if there is some sort of logical relationship. If there is no logical relationship or the data is missing/incorrect, click on the url and look up the company name. If there is not data for the "address" column please delete the record. I will pay 1.2 cent for every "cleaned" record. I was able to "clean" 400 addresses an hour. Please use the attached document to assess your cleaning speed. Finally, some of the companies are missing a phone number. I will pay an additional 1.0 cents per record for a non-fax, non-toll free phone number. Toll free numbers have a (800), (866), (888) area code. Please mark the phone numbers you added with a different color font. Please let me know how many hours you have available in your bid. I have 100K addresses that I want to clean. Winning bid should first complete 1,000 addresses so i can assess the quality before i send over the larger allotment. The bid format is the cost to provide a clean record. The compensation is 1.2 cents per clean record or you are free to bid less to try and win the bid. For example, if you work for $5 per hour and can clean 500 records per hour, then you would bid 1 cent per record ($5/500 records). I am not interested in an hourly charge.