scraping historical SeatGeek data
$250-750 USD
Pagado a la entrega
We're looking for someone to scrap SeatGeek or Stubhub for secondary market tickets resold on these sights specifically for NCAA Mens Football in the Southeastern Conference "SEC" over the last 3 years.
Data will come from the last 3 years: The scrapes should begin in July 15 and end in December 15.
Year 3: July 15, 2015 - Dec 15, 2015
Year 2: July 15, 2014 - Dec 15, 2014
Year 1: July 15, 2013 - Dec 15, 2013
Required: Game/venue (approx 336 games; 112/year); each ticket listed; time/date listed; listed as e-ticket or physical ticket?; was this ticket sold?; selling price; time/date if sold.
Required: The script used to scrape the information
Required: The data needs to be in a format that can be imported to a standard spreadsheet such as Excel. No data manipulation is required.
The data to pull will come from 12 venues. Here is the list:
format: Venue College Name, Venue Location, Venue team mascot/name:
1. University of Florida Gainesville, Florida Gators
2. University of Georgia Athens, Georgia Bulldogs
3. University of Kentucky Lexington, Kentucky Wildcats
4. University of Missouri Columbia, Missouri Tigers
5. University of South Carolina Columbia, South Carolina Gamecocks
6. University of Tennessee Knoxville, Tennessee Volunteers
7. Vanderbilt University Nashville, Tennessee Commodores
8. University of Alabama Tuscaloosa, Alabama Crimson Tide
9. University of Arkansas Fayetteville, Arkansas Razorbacks
10. Auburn University Auburn, Alabama Tigers
11. Louisiana State University Baton Rouge, Louisiana Tigers
12. University of Mississippi Oxford, Mississippi Rebels
13. Mississippi State University Starkville, Mississippi Bulldogs
14. Texas A&M University College Station, Texas Aggies
Eliminating the ask for historical data as that doesn't appear possible. Instead, i want to collect this data going forward. I want a script that can be run to collect data multiple times each week, over the 6 month period specified above, targeted to the venue's specified above.
Nº del proyecto: #10976530
Sobre el proyecto
20 freelancers están ofertando un promedio de $472 por este trabajo
Dear Sir/Ma'am, I am a Web research, Data Entry & Webs Scrapping expert. I checked and understood your requirements. I can handle this job very well to your appreciation. I can find and extract the information Más
Hello there, my name is Daniel and I would love to help you out with this project. I am a professional web scraper and I specialize on sports related websites so I think it will be really interesting to extract footbal Más
Hi there, I have read the project & would like to discuss. I can scrape data from websites using Python scripts.. I have good web scraping reviews for my past projects.. Hope to hear from you..
Hi Here is scraping Expert. We can do the work perfectly and before start we will show you sample. Can we discuss more. ...................................
Hello, My name is Rui Pimentel, more recently known for developing crawlers for netflix, nike, supremenewyork and so many other trendy websites. With more than 8years of experience in development of web crawling and a Más
Hello Mr I have good knowledge with data entry and web researches , I can work this sheet within 10-15 days with perfect accuracy , I already worked with similar projects which asked for contact info Thanks
Hi. Scrap should be one of these sites, where this information is available, I understood correctly? Anyway contact me and let's do the business.
Dear sir I am web research, data entry and copy typing specialist. My typing speed is 100 word per minute. I am honest and hard worker. I will start now and deliver you before your deadline. I provide quality work an Más
Hello, I understood the initial scope of this project. Although i want to discuss further this job in order to prepare the final concept for this project. After Complete discussion over the call or in chat, i wi Más
