We schedule Lumar crawls to run after every release and the automated alerts have caught regressions before they ever hit organic traffic. Being able to set custom extraction rules and pipe data into our BI tool means SEO finally lives alongside our other metrics. For a large website this is exactly the intelligence layer we needed.
Scheduled crawls, custom extraction, solid integrations
Lumar does crawl our site reliably, but after the rebrand the pricing moved firmly into enterprise territory and our credit allowance feels tighter than it did under Deepcrawl. For a mid-size site we burn through monthly crawl credits faster than we'd like and end up rationing scans. Capable tool, just hard to justify the cost now.
Credit limits run out and pricing is steep for mid-size teams
Lumar is clearly built for large, complex sites and it shows in the depth of reporting. The trouble is we're a smaller team and a lot of the automation and trend monitoring is overkill for us. When a crawl runs it's excellent, but the interface can feel cluttered and slow to navigate. Genuinely torn between the power and the overhead.
Deep technical insights and trend tracking
Overkill and a busy interface for smaller sites
A single misconfigured crawl scope sent Lumar down infinite parameter URLs and chewed through our entire monthly credit allotment in one run. There was no safeguard or warning before the limit blew, and getting credits restored took a frustrating back-and-forth. For a tool aimed at large sites, that lack of a guardrail is a serious oversight.
No safeguard against runaway crawls eating all credits
Since the Deepcrawl rebrand to Lumar the platform has only gotten sharper. We onboarded a 500k-URL site and the automated health scores flagged broken hreflang and duplicate canonicals our previous tool never surfaced. The accessibility monitoring on top of standard SEO crawling is a real bonus for our compliance team.
Thorough crawls, accessibility checks, clear health scoring