Data Mining Jobs

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Fixed-Price - Intermediate ($$) - Est. Budget: $50 - Posted
I have a list of company domains (e.g. nike.com) For each, I want to find the name (first & last), Title of someone from marketing (e.g Marketing manager, Head of marketing, VP marketing), Profile Picture as well as logo of company. so the output is a list similar to this nike.com / Joe Smith / Head of Marketing / url of personal photo / url for Logo I have ~2,200 such companies. If successful, we have followup tasks such as this one.
Skills: Data mining Research
Fixed-Price - Entry Level ($) - Est. Budget: $8 - Posted
I have screen shots of leads for a real estate company watched from a screenshot on and iPad. I need the Names, Phone numbers, email addresses, City and Size of property implemented into microsoft excel. I need this done today. It should not take more then 1 hour.
Skills: Data mining Data Entry
Fixed Price Budget - Intermediate ($$) - $30 to $100 - Posted
We require urgent help to find Leads of Garment Manufacturing companies. Your job is to find garment manufacturing factories and go to each of their websites and identify the Garment manufacturer and provide me the below information: 1. Contact Name(CEO, General Manager, President or any higher management) 2. Company Name 3. Company website(If any) 4. Contact person email id (don't include domain based ones like: info@abc.com, sales@abc.com etc.) 5. Direct mobile number Please include your per lead price when submitting your proposal.
Skills: Data mining Data Entry Email Marketing Google search
Hourly - Entry Level ($) - Est. Time: More than 6 months, 10-30 hrs/week - Posted
Hi There im looking for a simple task of exporting the list of domains for sale on a daily basis (approx 500 pday) listed on netfleet.com.au and cross checking against google keyword volume checker, this data will be done every day and sent via email in a spreadsheet format from highest search volume to lowest. i do not mind if you can use any tools to speed up this process and suggest that you do. the accepted candidate must be very very reliable i would like this info to come every day consistently happy bidding.
Skills: Data mining Domain Migration
Fixed-Price - Entry Level ($) - Est. Budget: $20 - Posted
Step 1 - Data Collection Actions: 1. Go to the website http://www.sponsoredreviews.com/ 2. login: e-mail - pivneva.dasha@boosta.co password - blogsearch123 3. Go to the section "Find bloggers" 4. Filter blogs by: Domain Authority: 20+ Categories: 1. Gaming \ Casino After that by 2. Travel 5. Look through list of the blogs by categories Gaming \ Casino, Travel. Actions: - Go to the website from the list - Find the way to communicate (column Contact Us, Work with us, or smth similar) - Find e-mail or Contact form link. - Fill the blanks in the table №1 (URL, Type (Gaming \ Casino, Travel) and E-mail \ link to contact form): https://docs.google.com/spreadsheets/d/1Ts6Ym4nBAbedJV7S5vgSoPriJX577zz3kwDsnJRAFNU/edit#gid=0 Highlight cells with the links to the Contact forms; !! Put a comma "," after the e-mail addresses - Copy e-mails in the second sheet, "Mails" in the table №1
Skills: Data mining Administrative Support Internet research
Hourly - Intermediate ($$) - Est. Time: More than 6 months, Less than 10 hrs/week - Posted
My company has developed a software for family medical clinics (General Practice Clinics) in India. I need a list of names, emails and phone numbers of clinic owners whom I can try and sell the software to. The software is based on the internet (cloud based). With the software, the clinics store patient's information, write prescriptions for mediations, do lab tests etc. Patients can also make appointments. The clinics who can use this software will be based in metro areas where there is internet.
Skills: Data mining Data scraping Lead generation
Hourly - Intermediate ($$) - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
I am looking for a talented email miner who can identify and find emails for adult film studios, producers, and wholesalers. I have a list of potential contacts.
Skills: Data mining