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    12 excel 2013 web scraping jobs found, pricing in USD

    I am looking for some web-scraping code written in Python (Windows 10 PC) to pull results from Google Scholar, scrape data from these results and put the data into a .csv file which is readable by Excel. This data should also be written to a local database running on Windows 10 (MySQL or MongoDB) I need the following: 1. Simple GUI which allows

    $175 (Avg Bid)
    $175 Avg Bid
    12 bids

    From web scraping or the API, I need to get a dataset on Spotify streamed songs from Germany and the US for a 1 year period. The data needs to contain the 500 most popular songs of week 1 of April 2013. Consequently of all of these songs I need the amount of weekly streams for the period of 9th of April 2013 to 9th of April 2014. The dataset needs

    $167 (Avg Bid)
    $167 Avg Bid
    9 bids

    I need help with web scraping. Most of the work will be in Excel. I need the data compiled and analyzed. The duration is approximately less than a day. I need some to scrape the 2013 and 2014 stats for [url removed, login to view] and sort by team across multiple statistics to determine which statistic or statistics help teams the most in winning games - very straight

    $111 (Avg Bid)
    $111 Avg Bid
    17 bids

    ...looking for someone to build a prototype web scraping application in PHP . The application needs to be able to scrape results from the Kayak flight search engine and insert it in excel file As I only require a prototype, you do not need to implement the ability to perform multiple or complex searches. Simply scraping the results of a static search (such

    $100 (Avg Bid)
    $100 Avg Bid
    1 bids

    From web scraping or the API, I need the collection of Spotify's top streamed songs, their rank, the associated artist, and the number of streams collected in to four columns in an Excel file. This data needs to be for the US, weekly. I have tried simple web scraping and failed to pull the information. I need the charts from 2013-04-28 through

    $134 (Avg Bid)
    $134 Avg Bid
    20 bids

    I need an application (desktop or web based) to extract (scraping) all the information from the results of Auctions of Antiquorum, Christies, Sotheby and Bonhams related to watches auctions. I need the information on Excel. A sheet for each auction, each lot in a row with information divided in columns. On the application I have to put the address

    $218 (Avg Bid)
    $218 Avg Bid
    12 bids

    I need an application (desktop or web based) to extract (scraping) all the information from the results of Auctions of Antiquorum, Christies, Sotheby and Bonhams related to watches auctions. I need the information on Excel. A sheet for each auction, each lot in a row with information divided in columns. On the application I have to put the address

    $220 (Avg Bid)
    $220 Avg Bid
    10 bids

    ...for working on the Excel projects 1. Thorough knowledge of Excel 2010 with working knowledge of MS Word & MS Access 2. 4-5 years experience in VBA coding for Excel 2003 & above with thorough knowledge in Excel 2010/VBA 3. Knowledge of working with Word 2010 & MapPoint 2013 objects using VBA 4. Using DAO for Access 2010 from Excel/VBA ...

    $13 / hr (Avg Bid)
    $13 / hr Avg Bid
    18 bids

    I need someone to scrape [url removed, login to view] and provide the data in an excel spreadsheet. This project involves advanced web / website scraping abilities. Kickstarter does not provide an API. I need the following data: - Project title - Project URL - Funding Period - Number of Facebook friends - Backers - Total funding - Goal As an example:

    $5 / hr (Avg Bid)
    $5 / hr Avg Bid
    4 bids

    I need someone to scrape [url removed, login to view] and provide the data in an excel spreadsheet. This project involves advanced web / website scraping abilities. Kickstarter does not provide an API. I need the following data: - Project title - Project URL - Funding Period - Number of Facebook friends - Backers - Total funding - Goal As an example:

    $74 (Avg Bid)
    $74 Avg Bid
    11 bids

    The main technical skill for this project is web scraping. For this project I am wanting 12 years (years 2001/02 to 2012/13) of all UEFA Champions League football matches player data scraped off of a website. The data I want is at the following website: [url removed, login to view] Underneath the tab history there

    $217 (Avg Bid)
    $217 Avg Bid
    14 bids

    [url removed, login to view] is trying to build the most accurate list of Flooring Installers available on the the web today. We would like to take company list data (Comany Name, Address, Email, Phone number, Fax Number, URL, Contact )from a PDF and convert over to a excel table. There are two directories - one with about 400 records and a second with about 900-1000;

    $105 (Avg Bid)
    $105 Avg Bid
    27 bids