scapy VS Scrapy

Example Network Scanner Scapy

In the last installment we looked at IP headers. One thing you might have seen missing is the port numbers. That's pretty important for making an internet connection. Well it turns out that IP tends to encapsulate other protocols (which is why it has protocol as part of the header). In this article we'll be looking at two popular protocols for internet traffic: TCP and UDP. Before we begin though install scapy which we'll be using to make things easier, and dnslib that will be used during the UDP section:

I've coded my small ARP spoofer in Go because I love the language, though it can very well be coded in other languages, for example Python with Scapy.

Scapy: https://github.com/secdev/scapy

Tshark can't do that. The Wireshark app does update its Conversations window pretty frequently when doing a live capture, so that might be a reasonable alternative. Otherwise you could probably also cobble something together yourself with a tool like scapy or some other Python library, but that would clearly be more work.

I don't know if you can do it within the gui, I don't see anything but perhaps a bit of Python code would do it. There is a python library called Scapy that may have functions to help you along the way.

BeautifulSoup4 Scrapy

While there is no specific library for SERP, there are some web scraping libraries that can do the Google Search Page Ranking. One of them which is quite famous is Scrapy - It is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It offers rich developer community support and has been used by more than 50+ projects.

If you're looking for a turn-key solution, I'd have to dig a little. I generally write a scraper in python that dumps into a database or flat file (depending on number of records I'm hunting).

Scraping is a separate subject, but once you write one you can generally reuse relevant portions for many others. If you can get adept at a scraping framework like Scrapy you can do it fairly quickly, but there aren't many tools that work out of the box for every site you'll encounter.

Once you've written the spider, it's generally able to be rerun for updates unless the site code is dramatically altered. It really comes down to how brittle the spider is coded (i.e. hunting for specific heading sizes or fonts or something) instead of grabbing the underlying JSON/XHR that doesn't usually change frequently.

1. https://scrapy.org

Scrapy capitalizes headers for request

Scrapy is a web scraping toolkit

I know this might not be a good answer, as it's not .NET, but we use https://scrapy.org/ (Python).