This means you’ll receive email alerts if you are nearing your budget, and can take action accordingly.īe sure to read the ‘ Terminating a VM Instance’ section for instructions on how to avoid unnecessary costs when you’re finished with this tutorial. If you’re worried you’ll accidentally leave something running and rack up costs, we recommend setting budgets on your account to prevent this. On the subject of billing, you will be charged for usage that exceeds the initial free credit. As mentioned, you’ll get $300 credit if you’re new to this (sometimes $400 if you’re lucky). We’ll mostly be working entirely within Compute Engine on the left-hand side:Ĭlick ‘Compute Engine’ and you’ll be prompted to setup a billing account if you haven’t already. Once you’ve created and selected the project, don’t be put off by the overwhelming and confusing setup. To do so, open the SEO Spider on your local machine, set-up the desired config, then go to ‘File > Configuration > Save As’.įirst things first, you’ll need to create a Google Cloud project. If you want to use a custom configuration file, you’ll also need to export it.With a valid billing method associated to the project.Licences are per user, so you’ll need one for every user that will be accessing it.While it may look lengthy and confusing, this process can be reduced to 10 minutes or so once you’re familiar with the steps. Google Cloud Compute charges based on your usage, meaning you can spin up a VM (virtual machine), crawl what you want, export everything you need and then terminate it to avoid additional costs.Īlternatively, you can keep the VM running for as long as you want, for example if you want to set up scheduled crawls and exports, but obviously this will incur additional costs. Some methods are more resource efficient than others, but this guide focusses on getting you up and running within minutes. There are several different ways to run the SEO Spider in the Cloud or on a server, including using headless mode. ( Note: Any user of any instance requires their own individual licence.) You’re able to do this on as many VM instances as you wish with your licensed version of Screaming Frog. If you need to crawl larger sites at faster speeds, you can easily scale up the VM instance and its SSD size. It’s important to note that you’ll be charged on usage, and we’ll discuss ways you can try to lower the costs and/or set budget alerts. The cost was less than £20 in Google Cloud Platform charges (who give you $300 credit for free).If you’re aware of your website’s capabilities, this speed can be increased. This was at a reduced, safer speed as it wasn’t a time-sensitive task. We crawled 3.1 million URLs using database storage mode, which took around 2 days.For the purpose of this guide, a VM instance with 8vCPUs, 32GB Memory and 200GB SSD was used.To give you an example of potential costs and capabilities: Google’s Compute Engine allows you to deploy some seriously powerful machines, and if you know the limits of the website’s you’re working on, you can crawl a substantial number of URLs very efficiently. This is heavily caveated based on the desired virtual machine instance, your requirements and the site you’re crawling. This frees up your local resources for other tasks, but also has the added benefit of not having to leave your machines running to complete a crawl.Īs well as this, running it in the Cloud allows you to access ongoing or finished crawls from anywhere, so you can easily get the information you need. This means that you could be running some quick spot checks with the SEO Spider on your laptop while a larger crawl (or several!) runs concurrently on the Cloud, all for £199 per year. One of the main advantages is that with a Spider licence you’ll be able to run as many instances of the SEO Spider as required in the Cloud. There are a few reasons why running the SEO Spider in the Cloud can be a game changer. Why Run the Screaming Frog SEO Spider in the Cloud? Thankfully, there is a solution: the Cloud. Perhaps you want to fully automate a crawl report in Google Data Studio, but again you don’t want to have to worry about leaving your machine on at the time it’s scheduled to run. However, in both scenarios your machine still needs to be running, and if you are regularly crawling large websites, you may not want to keep your computer turned on for significant amounts of time. While the Screaming Frog SEO Spider is desktop software, it’s able to crawl millions of URLs thanks to its configurable hybrid storage engine.įor most people, the speed and flexibility of Memory Storage and the high scalability of Database Storage is enough to suit all needs and requirements.
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