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I recently made a webscraper with python and Selenium, and i found it pretty simple to do. The page used ajax calls to load the data, and initialy i waited a fixed time_out to load the page. That worked for a while. After that, I found that selenium has a built in function, WebDriverWait which can wait for a specific element to load, using wait.until(). This made my webscraper run faster.
The problem is, i still was not satisfied with the results. It took me an average of 1.35seconds per page to download the content.
I tried to paralelize this but the time's did not get better because the creation if the driver instance (with Chrome or PhantomJS) took most of the scraping time.
So I turned myself to scrapy. After doing the tutorials, and having my parser already written, my two questions are:
1) does scrapy automatically run multiple url requests in paralel?
2) how can i set a dynamic time out with scrapy, like the WebDriverWait wait.until() of Selenium
3) if there is no dynamic set out time available for scrapy, and the solution is to use scrapy + selenium, to let selenium wait till the content is loaded, is there really any advantage of using scrapy? I could simlply retrieve the data using selenium selectors, like i was doing before using scrapy
Thank you for you help.
javascript rendering service
. Itâs a lightweight web browser with an HTTP API, implemented in Python 3 using Twisted and QT5. Using this in Scrapy, you can work with dynamic content like that with Selenium.
By default Splash waits for all remote resources to load, but in most cases it is better not to wait for them forever. To abort resource loading after a timeout and give the whole page a chance to render use resource timeout, either splash.resource_timeout
or request:set_timeout
can be set.Asynchronously
, that gives it a big advantage over others.