This project is used as an example that we build up in my book: Learning Concurrency with Python
The PyCrawler is a multithreaded Python web crawler that utilizes BeautifulSoup and the urllib.request modules in order to crawl every page of a given website.
> python3.6 main.py
> Website > https://tutorialedge.net
# Performs crawl
# Outputs to results.csv This crawler was built with the intention of being a teaching resource for my upcoming book Learning Concurrency with Python.
- Crawls all links of a given web domain and checks to see response status code.
- Performs all crawls using concurrent python practices
- Writes the results of each page crawl back to a results.csv file
- Analyse each page to check to see if it complies with on-site SEO checklist
- Must contain a single
<title>tag within the<head> - Must contain
<meta name="description" content="..."> - Images should contain
alt="keyword"attribute - Report back 5 most popular keywords on all pages
- Report back the size of each page and split this into buckets of js, css, images, other...
- Report back the number of requests each page take to load and categorize each into buckets
- Perform load time analysis of each page
- Report back if Javascript and CSS is not minified