scrapydvsspidr
Scrapyd is a service for running Scrapy spiders. It allows you to schedule spiders to run at regular intervals and also allows you to run spiders on remote machines. It is built in Python, and it is meant to be used in a server-client architecture, where the scrapyd server runs on a remote machine, and clients can schedule and control spider runs on the server using an HTTP API. With Scrapyd, you can schedule spider runs on a regular basis, schedule spider runs on demand, and view the status of running spiders.
You can also see the logs of completed spiders, and manage spider settings and
configurations. Scrapyd also provides an API that allows you to schedule spider runs, cancel spider
runs, and view the status of running spiders.
You can install the package via pip by running pip install scrapyd and
then you can run the package by running scrapyd command in your command prompt.
By default, it will start a web server on port 6800, but you can specify a different port using the
`--port`` option.
Scrapyd is a good solution if you need to run Scrapy spiders on a remote machine, or if you need to schedule spider runs on a regular basis. It's also useful if you have multiple spiders, and you need a way to manage and monitor them all in one place.
for more web interface see scrapydweb
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.
Example Use
$ scrapyd
$ curl http://localhost:6800/schedule.json -d project=myproject -d spider=spider2
require 'spidr'
Spidr.start_at("http://example.com") do |spider|
spider.every_page do |page|
puts "Visiting: #{page.url}"
# Extract data from the page using Nokogiri
doc = Nokogiri::HTML(page.body)
title = doc.css("title").text
puts "Title: #{title}"
end
end