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All the state is managed internally and lost if there’s a problem. It can run for hours and if it fails, there’s no way to pick up at where it stopped.It effectively runs as one atomic job, fetching URLs, saving resources, and managing an internal list of URLs to explore: This is all great - but we ran into some major issues when crawling a site with over 10,000 URLs.
#Build an amazon webscraper full
There’s more code in the full script, but these are the essentials. At the end of the process, all the discovered resources are stored in the array URLs. When a resource is saved, we push the URL onto an array then log any errors. In this example, the filter is set to include any URL in the same domain, requesting up to 10 URLs concurrently. We specify a target website and have it recursively search for URLs matching the urlFilter. The package is mostly configuration-driven. Running this tool is pretty easy - you can visit my github repo for the full example, but here are the important parts: const options = `), Then you have to consider the rate of crawl - do you process one URL at a time or explore many concurrently? How do you treat http versus https if you find mixed usage in the html?įor Node users, there’s a package that does this elegantly called Website Scraper, and it has plenty of configuration options to handle those questions plus a lot of other features. Crawling is the interesting part because you can quickly generate a vast list of URLs, or control what you collect by implementing some rules.For example, maybe you only explore URLs with the same domain name, and remove query parameters to reduce duplicates.