README ====== ------------------ Code Organization: ------------------ 1) analyzer.py Class... must be initialized first! - accepts: filename, url_name - filename is the source file for all the urls spawning from the homepage, these are generated by crawler so crawler must run first!! - url_name is the root url of the site we want to look at, for example, "http://www.amazon.com" - iterating through the list of urls, analyzer finds all the ads in each url from an ad_site_list we have hardcoded into the script - scores each site based on how many ads we find x links deep into the site, also the popularity of the site, and how far it is away from optimal ad % (as a % of content) - There is a limit to 2000 queries per day using 2 API keys from Compete 2) crawler.py - accepts: root, crawl_depth - root is the root url of the site we want to look at, for example, "http://www.amazon.com" - crawl_depth is how many links deep we want the crawler to return. for example, crawl_depth = 1 means our crawler will return all the links in the main homepage. while crawl_depth = 2 means our crawler will follow the links in the first level, and return all the links from level 2 + level 1 + root - writes to file "./urls_inputs/root_name.txt" - returns out_name, root_name - outname is where it writes to file. i.e. "./urls_inputs/root_name.txt" - root_name is the stripped version of the url, i.e. www.amazon.com 3) main.pyw - our main GUI for the program - calls crawler.py for a list of sites (default: top_sites.txt) and iterates through these to generate output files. Since each output file is a list of urls for a site, this is the info we need for analyzer.py - calls analyzer.py on each file generated from crawler.py, to score each site. 4) top_sites.txt - we generated a list of top sites from compete and alexa rank. - main.pyw calls our scripts based on this list ------------------ Modules: ------------------ urllib2 BeautifulSoup (bs4) urlparse json PyQt4.QtCore PyQt4.QtGui ------------------ PennKeys: ------------------ Andrew Staniforth: staan Connie Wu: wuconnie Fred Wang: shuchun