Data Mining Jobs

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Fixed-Price - Entry Level ($) - Est. Budget: $100 - Posted
I have a list of 114 Australia businesses -- all are Supported Residential Services (SRSs). These are private businesses that provide accommodation and care for elderly and aged residents. I want to locate email addresses for these businesses. I have attached an Excel spreadsheet with the names and addresses of each business.
Skills: Data mining Data scraping
Fixed-Price - Intermediate ($$) - Est. Budget: $30 - Posted
I am looking for someone to help me collect active email addresses to help me generate leads for my consulting offering. People must have the following titles (or equivalent) Head of Marketing/Marketing Director/CMO or CEO. The person must be based in Melbourne, Australia. These would need to be large businesses with over 100 staff. I have been doing this myself using LinkedIn. This would be delivered to me in an excel spreadsheet showing the Name, email address, name of company, postal address and phone number. I am looking to gather 200 initially and then looking to follow up with 30 per week. I have already collected over 100 names and emails via LinkedIn I can share with you on commencement of the job as an example. These contacts would need to be unique and not overlap with the 100 I already have. I would like a fixed price for these 200 contacts, delivery needs to be within a week. Please provide a separate cost if you would like to quote for the ongoing 30 contacts per week.
Skills: Data mining Email Marketing Lead generation
Fixed-Price - Intermediate ($$) - Est. Budget: $30 - Posted
I'm looking for somebody to help me gather data from a huge list of websites - I need to get the email addresses from where ever they're listed on the site (obviously they won't be on every single site). This is simply to speed up an outreach marketing campaign. So far I've been doing it manually - with decent response rate, but it takes too long. So if there's a way to gather all emails, let me know!
Skills: Data mining Data scraping
Hourly - Entry Level ($) - Est. Time: More than 6 months, 30+ hrs/week - Posted
I have 3000 dealer on one website template example urls http://www.newbrightonford.com/used-inventory/index.htm https://www.northcountryford.com/new-inventory/index.htm http://minnetonkaford.com/Minneapolis-and-St-Paul/For-Sale/Used/ I would supply the urls for each dealer 1 new vehicle url 1 used vehicle url Below is the data I will need daily as a tsv file. All the data i need is on the vehicle search result page (SRP) THIS IS THE DATA I NEED AND THE HEADER FOR THE FILE Condition (new / used) Vin Price (numeric only) Miles InteriorColor ExteriorColor DealerName Address City State Zip Latitude (from dealer address) Longitude (from dealer address) Url (Vehicle detail page url) Imageurls (single image url) Base bid - I need the cost to build the crawler Option 1 - what you would charge to run every data and ftp the tsv file to me every day. Option 2 what it would cost to set up on my aws server to run every day and ftp me the file
Skills: Data mining Data Entry Data scraping
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
please collect and display in excel for US state, Metro area, and county for every year in history that you can find and also find what is projected to occur in the future Market data points to collect: - Current supply of total square footage built - New construction planned and completed (including the year it will be completed) - Occupancy - Rent per square foot - Sales in square feet and by dollar - absorption (new leases per year) please collect this for each of the following property types: retail, office, apartments, hotel, self storage and manufactured housing (limit up to 2 hours looking for data for each). It would be helpful if you had access to REIS, NCREIF, COSTAR, and other Commercial Real Estate providers. I am not looking for someone to learn how to find this data, I want to hire someone who knows how to find this data.
Skills: Data mining Data Entry Internet research Microsoft Excel
Hourly - Intermediate ($$) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
Please collect the data points below for each year as far back as possible (cut off 1930) and—the projections for as far back--and into the future (minimum 5 year projection) for each datapoint in Excel format, please breakdown each of the data points above by state, Metropolitan area, and/or county demographic/economic data: - Total population - Gdp - Total Employment (by industry) - Household income - Household debt - Household net worth - Housing starts - Retail trade -Online purchases - Age - Education - Color - consumption - inflation (national only) - Interest rate projection (national only) Need information ASAP Please include an example of pulling similar data, if not the exact same. I do not want someone attempting to learn where to find. I am looking to hire someone who knows where to find all of the data.
Skills: Data mining Economics Internet research Microsoft Excel
Fixed-Price - Intermediate ($$) - Est. Budget: $8 - Posted
We use a CRM system to track our clients and potential clients. Many times, prior to this contact information being within our system, we will have this contact information in the form of a business card or contained within an email. We are looking for a data entry person who would do the following: 1. We would email or forward contact information that might have some of the information missing (i.e. we would have the name, company name, but we might not have the address). 2. We would expect that the data entry person would research the missing parts, and would then enter the information into our database. Along with this, the data entry person would create a follow up activity in the system for our sales person. 3. When forwarded the email containing the pieces of information, we would advise you how to categorize the information (i.e. prospect, prospective reseller, etc.) and may provide you with a few other details as well. We will pay $.50 per lead entered into our system.
Skills: Data mining Data Entry