red-mail VS Scrapy

These two are more user friendly alternatives for sending and receiving emails: - Red Mail - Red Box

Take a look at red-mail package.

Red-mail was appealing, but I was not pleased with the misleading error message when a connection failed. Nor was I pleased to see there are no log messages in the code.

It's the creator of Rocketry, Red Mail and Red Box again. This week I thought to make it easier to integrate command-line programs to your Python applications.

Some of you might know my other project, Red Mail, advanced email sender. This time I have quite a similar library to show, I just released a sister library for it: Red Box, the advanced email reader.

For example, you can send emails using built-in smtplib and email, but there is also Red Mail. Which provides you simpler interface.

I'm actually the author of Red Mail (email sending library) and Rocketry (Pythonic statement-based scheduler). I'm actually looking for example projects to create some practical tutorials of how one could use the libraries. Not sure which kind would be appealing to most and what kind of problems people have with alternative options (which I could address).

This can be easily achieved with Red Mail (for email sending), Red Bird (for handling the data in an abstract way) and Rocketry (for scheduling):

I have made a pretty handy SMTP sender for Python if the language is a bit familiar (the lib is extremely easy to use): https://github.com/Miksus/red-mail

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).