Data scraping Jobs

86 were found based on your criteria

  • Hourly – 3 to 6 months – 10-30 hrs/week – Posted
    Hello I am looking for a researcher to assist with investigations into new markets to provide data and information for businesses wanting to expand overseas. The industries will be resources and mining, fashion and industrials. Applicants with experience in these industries is preferred. English will be the language to communicate in. Looking forward to reading your application! All the best Andrew
  • Fixed-Price – Est. Budget: $300.00 Posted
    Hi all! This is not a very simple job. We need a piece of software or a web page that will work the following way: 1. Gather information from articles in 5-7 news websites (CNN, AP, Bloomberg...) 2. Parse pages and save all words in the article to a DB table with their relative position in the text. Save exact time the article has been created. 3. Ask user to input requested words, sources and time period to be searched ...
  • Fixed-Price – Est. Budget: $50.00 Posted
    NEED AUTOMATIC SCRAPING NO MANUAL Please scrape the following data from this link;[]=New+York+City&locations[]=New+York Data contains 10k ++ Columns detail: - Company, Link, Market, Website, Employee, Stage, Total Raised Examples - Company : Oyster - Link : - Market : Publishing - Website : - Employee : 11-50 - Stage : Series A - Total Raised : $17,000,000 See attached excel template for more samples and detail PS. Please send me 500 records as samples to ...
  • Hourly – 3 to 6 months – 10-30 hrs/week – Posted
    I am currently looking for an individual to do data scraping of rental properties on This job includes finding rentals on airbnb, collecting specific data from the rental pages, and copying that data into a spreadsheet that will be provided for you.
  • Fixed-Price – Est. Budget: $10.00 Posted
    I need all business data from this site I need separate EXCEL spreadsheets based on Sic code (6531) This means there should 1 excel file for realtors, 1 excel file for coal mining, etc etc. Data must be organized and easily sorted (ie City, State, Name) If you can cross reference this data somehow and get me the owner's information please let me know how much extra that ...
  • Hourly – More than 6 months – Less than 10 hrs/week – Posted
    Looking for web scraper and VA to perform Google searches and get data from certain websites. First you will need to qualify the sites based on the criteria we will give you. Then you will get some info from each site and copy it into a spreadsheet. There will be other VA tasks for you. We’re looking for someone efficient and detailed who is good at following instructions. Detailed project description and instructions will be given once the best ...
  • Hourly – Less than 1 week – 10-30 hrs/week – Posted
    I have a list of duplicate titles of songs in 2 separate columns on Excel. I need to remove the duplicates and find the remaining songs the list. There are bunch of factors that make it a bit more difficult. For example and vs. &, no artist- title vs. artist - title, etc.
  • Hourly – Less than 1 week – Less than 10 hrs/week – Posted
    Hello we are looking for someone who is experienced with CODE IGNITOR framework to make modifications to our existing script. Coder should know how to modify and build web scrapers to grab data from sources, and output them on our site as well as work with API's, and a plus would be having knowledge of how to output the scraped data in a unique way with article spinners or some other system to provide unique content.
  • Hourly – 3 to 6 months – 10-30 hrs/week – Posted
    This job requires adding backend data to a web form for an education based website and also web research on educational institutions in the US. You will be asked to research for High school summer programs on U.S college websites and add relevant information to a back end web based form. The job will also require to compile this information into existing Google docs if needed. Excellent written and spoken English skills Excellent typing skills. Team player, fast learner ...