Comments (3)
It seems to grab the request URL from the XHR in the networks tabs also
Indeed, just like in a browser, all resources (images, scripts, stylesheets, etc) are downloaded. This causes increased memory consumption, and slower download speeds because your bandwidth is shared for all these additional resources. There's already #26 to work on some way to restrict the routes to be downloaded.
Regarding the multiple Chromium processes, those are most likely one process per page (window). You are passing playwright_include_page=True
for all requests, but you're not closing them afterwards. playwright_include_page
is only necessary if you intend to do additional manipulation of the page in the callback, which you are not, so I'd recommend removing it to allow the download handler to close the pages after they're used.
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I believe the memory issues are caused by all the garbage collection during the scraping process. I get a lot of responses to links that I haven't called for - I'm guessing this is how the playwright-scrapy implementation works? It seems to grab the request URL from the XHR in the networks tabs also, which consumers a lot during the process.
On another note, is there a way to implement this on a virtual machine? I only had 55 links but I'm preparing to work with 1000, and I'm unsure my PC can handle the processing.
It seems to work if I create the requests for the url pages beforehand, save them as a pandas dataframe and then read them into start_requests. However, I'm not sure as to why with the current implementation not all urls work?
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I have the same issue!! If I scrap too many pages, some pages will not be scraped and failed, even I scrap 5 pages, 10 pages, or 50 pages. It seems very strange.
By the way, I use wsl to run my script.
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