mechanizevsspidr
Mechanize is a Ruby library for automating interaction with websites. It automatically stores and sends cookies, follows redirects, and can submit forms — making it behave like a web browser without needing an actual browser engine.
Key features include:
- Automatic cookie management Stores cookies received from servers and sends them back on subsequent requests, maintaining session state across multiple pages.
- Form handling Can find, fill in, and submit HTML forms programmatically. Supports text inputs, selects, checkboxes, radio buttons, and file uploads.
- Link following Navigate through pages by clicking links using their text content, CSS selectors, or href patterns.
- History and back/forward Maintains a browsing history, allowing you to go back and forward through visited pages.
- HTTP authentication Supports basic and digest HTTP authentication.
- Proxy support Can route requests through HTTP proxies.
- Redirect handling Automatically follows HTTP redirects (configurable).
Mechanize is one of the oldest and most established web interaction libraries in Ruby. It is best suited for scraping traditional server-rendered websites with forms and multi-page workflows. For JavaScript-heavy sites, a browser automation tool like Selenium or Playwright is recommended instead.
Spidr is a Ruby gem that provides a simple and flexible way to spider and scrape websites. It allows you to easily navigate through a website, following links and scraping data as you go. It is built on top of Nokogiri, a popular Ruby gem for parsing and searching HTML and XML documents, and it provides a simple and intuitive API for defining and running web scraping operations.
One of the main features of Spidr is its ability to spider a website, following all the links on a page and visiting all the pages of a website. This allows you to easily and quickly scrape large amounts of data from a website, without having to manually specify which pages to visit.
In addition to its spidering capabilities, Spidr also provides a variety of other features that can simplify the web scraping process. It can automatically filter which links to follow and which pages to visit, it can handle cookies and authentication, and it can automatically store the scraped data in a database or file. It also provides a built-in support for parallelism and queueing to speed up the scraping process.