scrapydvssplash
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
Splash is a javascript rendering service with an HTTP API. It's a lightweight browser with an HTTP API, implemented in Python 3 using Twisted and QT5.
It is built on top of the QtWebkit library and allows developers to interact with web pages in a headless mode, which means that the web pages are rendered in the background, without displaying them on the screen.
splash is particularly useful for web scraping and web testing tasks, as it allows developers to interact with web pages in a way that is very similar to how a human user would interact with the browser.
It also allows you to execute javascript and interact with web pages even if they use heavy javascript.
Unlike Selenium or Playwright, splash is powered by webkit embedded browser instead of a real browser like Chrome or Firefox. As a down-side splash requests are easy to detect and block when scraping websites with anti-scraping features.
One benefit of splash is that it seemlesly integrates with Scrapy.
Example Use
$ scrapyd
$ curl http://localhost:6800/schedule.json -d project=myproject -d spider=spider2
# once splash server is started it can be requested to render pages through
# HTTP requests:
import requests
url = "http://localhost:8050/render.html"
payload = {
'url': 'https://www.example.com',
'timeout': 30,
'wait': 2
}
response = requests.get(url, params=payload)
# Get the page HTML
print(response.text)