bibtex-autocomplete VS Scrapy

In the long tradition of automating things that take less than 5 minutes to do manually, I've made a CLI script to autocomplete BibTeX entries (open source on github). A lot of work but now I can just copy/paste the title of any article I stumbled upon and the script will often do the rest.

I made a command-line tool to autocomplete bibtex entries in python : https://github.com/dlesbre/bibtex-autocomplete. It works by auto-querying a bunch of online databases (www.crossref.org, arxiv.org, dlbp.org, researchr.org, and unpaywall.org)

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

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

Not only Windows, you can also use it on Mac and Linux too. But for Python and CLI, you can use scrapy.

The first step in automating Amazon price tracking with Python is to scrape the product pages of Amazon.com for the desired product. To do this, you can use a web scraping library like BeautifulSoup or Scrapy. In the following example, we will use BeautifulSoup to scrape the product page for a MacBook Pro on Amazon.com:

lots of good suggestions here -- wanted to suggest the python tool, https://scrapy.org

Scrapy – one of the most comprehensive web scraping frameworks available for Python developers. Scrapy was designed around speed, reliability and extensibility – allowing users to quickly extract data from websites with minimal effort thanks to its powerful spiders that automatically traverse through whole sites from page-to-page until all relevant information has been scraped off them.