Lumar
Enterprise website crawler covering technical SEO, site speed and accessibility, formerly DeepCrawl.
- API
- Yes, a GraphQL API, plus BigQuery and BI tool connectors
- Hosting
- Cloud (SaaS)
Overview
Lumar is a website optimisation platform for enterprise teams, formerly known as DeepCrawl. It is built around four apps: Analyze crawls millions of pages with predefined modules for technical SEO and GEO/AEO, site speed and web accessibility, backed by more than 250 built-in reports and custom data extraction; Monitor tracks metrics continuously across multiple domains, site sections and geographies with dashboards and alerts; Protect runs automated website QA in development environments and hooks into CI/CD pipelines so problems are caught before they reach production; and Impact benchmarks work against industry standards to show its commercial value to stakeholders. Accessibility auditing covers WCAG 2.2 from A to AAA, and site speed reporting draws on Core Web Vitals and Lighthouse. Data comes in from Google Search Console, Google Analytics (GA360 and GA4, including conversion data) and Adobe Analytics, with server log data through Logz.io or Splunk, and goes out through a GraphQL API and connectors for BigQuery, Looker Studio, Tableau, Looker and Power BI. Pricing is quoted per customer rather than published.
Best for enterprise teams crawling very large sites who need technical SEO, site speed and accessibility in one platform, with QA that runs before deployment.
Lumar is aimed at large sites where a crawl is a data engineering job rather than a weekend audit, and it is priced accordingly: there is no published price and no free tier, only a demo. What sets it apart from a pure SEO crawler is how far the remit stretches, with accessibility and site speed treated as first-class modules alongside technical SEO, and a QA app that runs against staging rather than production. It is not a research suite, so a team that also needs keyword and backlink data will be buying that elsewhere.
Key Facts
| Category | |
|---|---|
| API | Yes, a GraphQL API, plus BigQuery and BI tool connectors |
| Hosting | Cloud (SaaS) |
Screenshots
Placeholders. They are replaced as soon as the vendor sends material, and both open the same short form.
Features
- Keyword research
- No own keyword research tool; search query data comes in through the Google Search Console integration
- Rank tracking
- No own rank tracker; Google Search Console performance data is pulled in through an integration
- Site audit
- Yes, its core: Analyze crawls millions of pages with modules for technical SEO, site speed and accessibility, over 250 reports and custom extraction
- Backlink data
- No own backlink index
- Content optimisation
- No draft-scoring editor; it reports on thin, duplicate, empty and orphaned pages rather than optimising copy
- Index and market coverage
- Crawls the customer's own site and enriches it with connected analytics and log data, rather than maintaining a keyword or backlink database
- Integrations and API
- Yes, a GraphQL API, plus BigQuery and BI tool connectors
Integrations
- Google Search Console
- Google Analytics 4
- Google Analytics 360
- Adobe Analytics
- Logz.io
- Splunk
- BigQuery
- Looker Studio
- Tableau
- Looker
- Power BI
- GitHub
- CircleCI
- Azure DevOps
- Bamboo
- CodeShip
- Concourse
- Google Cloud Build
- Zapier
- Asana
- Trello
- Slack
- Microsoft Teams
Deployment and Support
- Deployment
-
- Cloud (SaaS)
- Browser-based
- Company size
-
- Enterprise
Suitability
| Industry | Freelancers | Small and mid-sized | Enterprise |
|---|---|---|---|
| Agencies | Not stated | Not stated | Stated as a fit |
| Architecture & Engineering | Not stated | Not stated | Not stated |
| Consulting | Not stated | Not stated | Not stated |
| Media & Creative | Not stated | Not stated | Stated as a fit |
| Technology | Not stated | Not stated | Stated as a fit |
The table combines the industries the vendor addresses with the company sizes the tool is aimed at. An empty cell means the combination is not stated, not that it is ruled out.
Pros and Cons
Strengths
- Crawls millions of pages, built for sites that defeat smaller crawlers
- Technical SEO, site speed and WCAG 2.2 accessibility auditing in one platform
- Protect runs automated QA in staging and plugs into CI/CD pipelines
- GraphQL API plus BigQuery, Looker Studio, Tableau, Looker and Power BI connectors
- Log file data through Logz.io or Splunk, alongside Google Search Console, GA4 and Adobe Analytics
Limitations
- No published pricing and no free tier, only a demo request
- No keyword research, rank tracking or backlink data of its own
- Aimed at enterprise teams rather than small sites
Pricing
-
Custom
Not stated
Lumar packages the platform per team and quotes on request; no prices are published. Book a demo to get a quote.
Best For
Alternatives and Comparisons
FAQ
- Is Lumar the same as DeepCrawl?
- Yes. Lumar is the current name of the platform previously known as DeepCrawl.
- What does Lumar cover besides technical SEO?
- Alongside technical SEO and GEO/AEO, Lumar has predefined crawl modules for site speed, drawing on Core Web Vitals and Lighthouse, and for web accessibility against WCAG 2.2 from A to AAA. It also offers a QA app that tests development environments before changes reach production.
- Does Lumar do keyword research or backlinks?
- No. Lumar crawls and monitors your own site. Search query data arrives through the Google Search Console integration, but there is no keyword research tool, no rank tracker and no backlink index of its own.
- What does Lumar cost?
- Lumar does not publish prices. It offers flexible packaging tailored to the team and quotes per customer after a demo.
What users say
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