Data Mining Jobs

310 were found based on your criteria {{ paging.total|number:0 }} were found based on your criteria

show all
  • Hourly ({{ jobTypeController.getFacetCount("0")|number:0}})
  • Fixed Price ({{ jobTypeController.getFacetCount("1")|number:0}})
Fixed-Price - Intermediate ($$) - Est. Budget: $150 - Posted
Hi, I'm Looking for person who will collect automatically data of about 10k doctors from www.docvadis.it page. Doctors are splitted into specializations => http://www.docvadis.it/search.html Each specialization from field is needed => http://take.ms/xbUu0 Each specialization has listing of doctors => http://goo.gl/KSxlkH From each doctor profile following data is needed => http://take.ms/A66AI Some doctors can also have a photo => http://take.ms/jd0Ak Direct url to this photo has to be also added in column E. Data of all doctors has to be collected in spreadsheet. Here is the example of how it should look => https://goo.gl/5K89O6 Each next doctor should be in new line. Overall there should be about 10k doctors. In case of any questions please ask. Regards
Skills: Data mining Web Crawling Internet research
Fixed-Price - Expert ($$$) - Est. Budget: $10,000 - Posted
I currently have requirements for some highly targeted list building. The project will be to find the decision makers of different companies.there are around 65000 contacts to be scrapped. We will assign a target and we need it to be completed within the deadline you can gather and scrape data through various channels (LinkedIn, CrunchBase, etc...) There is definitely future possibilities of more work in the future with us if we have good success here. Look forward to working with each other.Please write Mango in the beginning of your proposal, So that I could know you have read the job description. Please find Email, LinkedIn, and Job title for the attached sheet, there are 3 records to be filled for the sample. I already have the data of these three people. Thank you
  • Number of freelancers needed: 10
Skills: Data mining Data Entry Data scraping Internet research
Fixed-Price - Entry Level ($) - Est. Budget: $40 - Posted
I am attending a conference. I will give my login so that you can see the list of 835 exhibitors. You will manually have to click on them one by one (in order to build the list) The website/page will include the name of the company and this info (as a sample): MAIN CONTACT 14305 SW Millikan Way Beaverton, OR 97005 United States Website:http://www.aaametal.com Phone:503-601-3212 You will build an Excel spreadsheet with the following info (separate columns for each): Business Name Address City State Zip Code Website Brand Please understand you are being paid to complete the with all 835 exhibitors. You will not have to WRITE anything - just copy and paste many times!
Skills: Data mining Data Entry Google search Internet research
Fixed Price Budget - Entry Level ($) - $100 to $150 - Posted
Job Description: We're looking for a Lead Generation expert to help us research new opportunities, gain new customers and increase revenues to support our business. We are hoping to streamline our lead-gen process and if this project goes well we are likely to come back to you and repeat the process many times. I am looking to have this done asap and I have the document ready to go today. Your responsibilities: - Comb through assigned company list to find the appropriate leads - Find names/emails for titles specified - Use Use all available resources, Web, LinkedIn, Data.com, company websites, etc. to find most requested contacts - various tools to find those people's e-mail addresses - Present the lists in Excel format I will send a document that has the names of 333 companies and I'm looking for about 7 contacts per company (email address). Marketing titles: VP of Marketing, Director of Online Marketing, Digital Marketing Manager, Affiliate Manager, Acquisition Manager, Search Marketing Manager, Online Marketing Manager No assistants or coordinators or administrators If you cannot find relevant marketing or technical titles, can you please provide: similar marketing contacts within the organization You will *not* contact any of the leads, only build a contact list Your qualifications: - Strong internet research skills - Very high English language proficiency -Web scraping experience -Responsive and able to complete job quickly - Ability to discreetly find and confirm e-mail addresses - A complete Upwork profile - References or an established reputation on Upwork preferred
Skills: Data mining Lead generation Web scraping
Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
There is a long list of data that I would like to scrape from a directory. The directory can be accessed via web page (with username and login) Looking to scrape multiple data points including: - Name - Job Title - Business - Address - Phone - Email Please see attached picture for layout. I would like everything placed into an excel file for easy sorting. Please put the word "scraper" at the top of you cover letter. Need this list compiled within the next 48 hours.
  • Number of freelancers needed: 4
Skills: Data mining Data scraping Web scraping
Fixed-Price - Intermediate ($$) - Est. Budget: $25 - Posted
Project Description: There are two sets of data: Felony and Misdemeanor. Each set is broken up into multiple .XLS files by the creator due to record limitations in the .XLS file format. Each set needs to combined into one file. The misdemeanor data set contains approximately 1.1 million records and the felony data has approximately 600k records. After combining each data set, I need the following queries/reductions done to the data. These queries must be done on each of the data sets separately. 1. Remove any records where the person is over 60 years old. 2. Remove all records where the person appears in the database more than 3 times and create a separate file with these records These data sets are available on the internet at the following address: Felony Data http://gov.bexar.org/dc/dcrecords.html Misdemeanor http://gov.bexar.org/cc/records.html
Skills: Data mining Data Entry Data scraping Database design