Based on our record, Scrapy should be more popular than Capybara. It has been mentiond 94 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For example, there is a Ruby on Rails application that uses Webpacker and has JavaScript files that are covered by the system tests. Capybara is used as the system testing tool. - Source: dev.to / about 1 month ago
Cuba takes help from a lot of other technologies to bring the best of everything. For example, the responses in Cuba are the optimized version of the Rack responses. The templates are integrated via Tilt and testing via Cutest and Capybara. - Source: dev.to / 3 months ago
Engineering at Aha! Focuses on using and improving the Capybara test framework. We have added many helpers and additional functionality to make working with Capybara easy. Testing at mobile widths is another chance to improve our testing tooling. Here is the incremental approach that we used to add mobile testing helpers. - Source: dev.to / over 1 year ago
Since the Capybara library drives the underlying tests, Minitest also has the same syntax. - Source: dev.to / over 1 year ago
The nice thing about partial templates is that templates are unit-testable with View specs (or similarly in Minitest) and the rendered output can even be verified using Capybara matchers. - Source: dev.to / about 2 years ago
Scrapy is an open-source Python-based web scraping framework that extracts data from websites. With Scrapy, you create spiders, which are autonomous scripts to download and process web content. The limitation of Scrapy is that it does not work very well with JavaScript rendered websites, as it was designed for static HTML pages. We will do a comparison later in the article about this. - Source: dev.to / 29 days ago
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. - Source: dev.to / 6 months ago
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... - Source: Hacker News / 11 months ago
I know this might not be a good answer, as it's not .NET, but we use https://scrapy.org/ (Python). Source: about 1 year ago
Take a look at Scrapy. It has a fairly advanced throttling mechanism for you to not get banned. Source: about 1 year ago
Cucumber - Cucumber is a BDD tool for specification of application features and user scenarios in plain text.
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Selenium - Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily, it is for automating web applications for testing purposes, but is certainly not limited to just that.
ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.
RSpec - RSpec is a testing tool for the Ruby programming language born under the banner of Behavior-Driven Development featuring a rich command line program, textual descriptions of examples, and more.
Scraper API - Easily build scalable web scrapers