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A web scraping app that checks the internet for the lowest price of a desired product from multiple sources. It then provides the user the websites with the lowest prices and the user can decide what the best value purchase is.

active 2023-12-052023-12-06 (UTC)

Complete coverage26,394 / 26,394 hourly files (100%) · 2 absent upstream2023-08-152026-08-18 (UTC)
Events
13
Pushes
0
Pull requests
0
Issues
11
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 2 days from 2023-12-05 to 2023-12-06. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 11 total, peak 11 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
Mehtaab138000
anthonyriz3000

Recent activity

Latest issues, pull requests and releases

  • Issue#11Mehtaab132023-12-06 04:37
    Create App that is easy to use
  • Issue#10Mehtaab132023-12-06 04:35
    ByPass Anti-Bot protection on some sites
  • Issue#9Mehtaab132023-12-06 04:08
    Build a script using our components
  • Issue#8Mehtaab132023-12-06 04:07
    Go through each site and get a basic URL for the Python requests library
  • Issue#7anthonyriz2023-12-06 04:05
    Provide well documentation
  • Issue#6anthonyriz2023-12-06 04:05
    Create a Powerpoint Presentation
  • Issue#5Mehtaab132023-12-06 03:56
    Implement BeautifulSoup to Parse HTML
  • Issue#4Mehtaab132023-12-06 03:46
    Add More Info into ReadMe
  • Issue#3Mehtaab132023-12-06 03:44
    Object Diagram
  • Issue#2Mehtaab132023-12-06 03:44
    Comp. Struct. Diagram
  • Issue#1anthonyriz2023-12-06 03:41
    Scraping Algorithm

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.