![]() Screaming Frog scores a 4.7 out of 5 on G2, and a 4.9 on Capterra. It's important to note that access to the license is granted per user, and bundled discounts are available for those seeking multiple licenses. The tool offers a range of features to help users identify and fix website issues, including broken links, duplicate content, and missing metadata. It crawls websites to collect data on on-page SEO elements such as page titles, meta descriptions, headings, and links. Screaming Frog offers a free version that allows users to crawl and download a maximum of 500 URLs.īy upgrading to the paid version, crawling limitations are eliminated (dependant on the availability of memory and storage.) Additionally, users gain access to features such as crawl configuration, scheduling, saving and re-uploading crawls, and crawl comparison.Ī single license for Screaming Frog costs £149.00 per year, which is approximately $200 USD. Screaming Frog is a desktop website crawler for SEO analysis and optimization. This information empowers search engine optimization professionals to make informed decisions on how to enhance onsite SEO.įor example, you can use Screaming Frog's SEO Spider to: The tool has the ability to crawl websites of any size, gather important onsite data, and provide real-time analysis of the results. Screaming Frog, a UK-based company, offers the SEO Spider tool, which audits websites to identify common SEO issues. Lumar scores a 4.5 out of 5 on G2, and a 4.2 on Capterra. You can request pricing on their website. No direct pricing information is offered on Lumar’s website. Analyze technical SEO insights at scale.These features are powered by Lumar's SEO crawler, which allows users to: ![]() Impact: Provides insights into the business impact of your website projects.Monitor: Allows you to track site health trends.Analyze: Comprehensive technical SEO and website analytics.The platform offers four primary features: Originally known as Deepcrawl, Lumar is an enterprise-scale website intelligence platform. ![]()
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