Data collection (Surf the web and collect the data)

I have easy but time consuming project to offer. I need quality data on websites from one niche. I will tell to winner of the bid what niche we are talking about. The data has to be collected per country. The job is to surf the web and collect the following data in a csv file (utf-8 format) url;Company Name;Zip;City;State;Country;Continent;street or box;phone no.;url to website with contact info;keyword;url for keyword exemple: [login to view URL];Nils Oscar Company AB;611 31;Nyköping;Västra Götaland;Sweden;Europe;Fruängsgatan 2;+46(0)15577280;[login to view URL];company;[login to view URL] Each country has to be saved in different file. Websites can be found by searching the web on keywords and then visiting the website to gather the information. Main URL (website adress) has to be without slash at the end and appear just once, can't be used twice for different countries. States for the different countries can be found on Wikipedia and the names have to be identical for the same stats. Not “NY” and “New York” for other record. Only full names like “New York” in example case. There have to be a whole address not only a city or country. One missing variable like zip, street or phone number is ok say in 1/20 records. But country, state, city have to always be stated. If the street address is on different lines the data has to have comma "," between the lines like this: ;Time street 25, Suiet A; The phone country code has to be in the following format: +32(0) like in +46(0)15577280. No spaces between numbers. No letters in phone number. The second URL (web address) is the URL to the website where the address can be found. Information that you gather has to be only on one site. I have a script that will check that the information gathered is correct. The site has therefore to be readable and have the same domain name as the main (first) URL. The website can't be for instance made in flash because you can’t read the code and copy from the website. Keyword is a qualifier and defines the niche I want to gather information about. It can be different for different languages. You can use Google translate to find out the translation name. What the keywords are I will tell to the winning bidder. The last URL has to be from the same domain as the main url and is pointing to the website where the keyword was found. You may not find listings in all countries but probably most of them. You can gather and check about 150 records in one day (I have done 3000 myself). You have to deliver at least 1000 listings every second week to keep up the momentum and speed if you want to continue. In average I would like to get 120 listings for each country. But for the large countries there will be more records and the small less (the extreme cases from 30 to 1000 I guess). It's important to save in correct format utf-8 not to mess up encoding of the letters. I can give you more details on free software to help you and other details. The payment will be escrow for each 1000 records which is equal to about 7-8 days work, after quality check. The amount of wrong records can't be more than 30 defects per set (1000 record). One defect is one wrong variable. Example wrong state, wrong phone format, etc If there is more defects then 30 I will return the record, but you will have to find the defects for you self. Quality is important and if not followed it can break the agreement. There is a lot of work even if it's little bit boring. I guess in to the next year. You have to ask if there is anything else. I'm interested in information from following countries (The smallest countries can be skipped, less than 1 million people): Brazil Japan China Hong Kong Singapore South Korea Taiwan Russia Afghanistan Albania Algeria American Samoa Andorra Angola Anguilla Antiguaand Barbuda Argentina Armenia Aruba Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belize Benin Bermuda Bhutan Bolivia Bosniaand Herzegovina Botswana Bouvet Island British Indian Ocean Territory Brunei Darussalam Bulgaria Burkina Faso Burundi Cambodia Cameroon Cape Verde Cayman Islands Central African Republic Chad Chile Christmas Island Cocos (Keeling) Islands Colombia Comoros Congo Congo,Democratic Republic Cook Islands Costa Rica Coted, Ivoire Croatia Cyprus Czech Republic Djibouti Dominica Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands (Malvinas) Faroe Islands Fiji French Guiana French Polynesia French Southern Territories Gabon Gambia Georgia Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guam Guatemala Guinea Guinea-Bissau Guyana Haiti HeardandMcDonaldIslands Honduras HongKong Hungary Iceland Indonesia Iraq Ireland Israel Jamaica Jordan Kazakhstan Kenya Kiribati Kuwait Kyrgyzstan Lao People's Democratic Republic Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macau Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Martinique Mauritania Mauritius Mayotte Mexico Micronesia Moldova Monaco Mongolia Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands Antilles New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island Northern Mariana Islands Oman Pakistan Palau Palestinian Territory Panama Papua New Guinea Paraguay Peru Philippines Pitcairn Poland Puerto Rico Qatar Reunion Romania Rwanda Saint Kittsand Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tomeand Principe Saudi Arabia Senegal SerbiaandMontenegro Seychelles Sierra Leone Slovakia Slovenia Solomon Islands Somalia South Georgiaand The South Sandwich Islands SouthAfrica Sri Lanka [login to view URL] [login to view URL] Miquelon Suriname Swaziland Tajikistan Tanzania Thailand Togo Tokelau Tonga Trinidadand Tobago Tunisia Turkey Turkmenistan Turksand Caicos Islands Tuvalu Uganda Ukraine United Arab Emirates United States Minor Outlying Islands Uruguay Uzbekistan Vanuatu Vatican Venezuela Vietnam Virgin Islands (British) Virgin Islands (U.S.) Wallisand Futuna Islands Western Sahara Yemen Zambia Zimbabwe