Lumar (DeepCrawl)

Overview

Lumar, previously known as DeepCrawl, is a technical SEO and website intelligence platform established in 2010. It is designed to assist enterprise-level organizations in understanding and optimizing the technical health of their large and complex websites. The platform's primary function is a comprehensive website crawler that identifies issues related to crawlability, indexability, site architecture, and content quality, which are critical factors for search engine visibility and performance. Lumar aims to provide a unified view of website health, enabling technical SEO teams, developers, and product managers to diagnose and resolve issues that might hinder organic search performance.

Lumar is particularly suited for websites with millions of pages, complex JavaScript rendering requirements, or frequent content updates. It goes beyond basic site audits by offering features such as historical data tracking, customizable crawl configurations, and integration with various analytics and log file data sources. This allows users to correlate technical issues with actual user behavior and search engine bot activity. For instance, understanding how Googlebot interacts with a site's pages is crucial for optimizing crawl budget and ensuring important content is discovered and indexed, as outlined in Google's documentation on managing crawl budget on large sites. The platform's capabilities are geared towards proactive identification of problems, such as broken links, duplicate content, slow-loading pages, and incorrect canonical tags, before they negatively impact search rankings.

The platform's focus on enterprise use cases means it offers features like user access management, project segmentation, and detailed reporting tailored for large teams and multiple stakeholders. This facilitates collaborative efforts in maintaining website health across different departments, from development to marketing. Lumar's compliance with standards like SOC 2 Type II and GDPR indicates its commitment to data security and privacy, which is a consideration for organizations handling sensitive data. The platform's developer experience emphasizes robust reporting and data export capabilities, allowing for integration into existing data analysis workflows and custom dashboards, which can be particularly useful for technical buyers who need to integrate SEO data with broader business intelligence systems.

Key features

• Technical SEO Platform: Provides a centralized dashboard for monitoring and managing the technical health of websites, offering insights into crawlability, indexability, and site architecture.
• Website Crawler: Employs a customizable crawler capable of handling large-scale websites, JavaScript-rendered content, and various content management systems to identify technical SEO issues.
• Analytics Integration: Connects with platforms like Google Analytics and Google Search Console to overlay crawl data with user behavior and search performance metrics, providing a holistic view of impact.
• Log File Analysis: Integrates with server log files to analyze search engine bot activity, helping to understand crawl frequency, crawl budget allocation, and potential indexing issues.
• Monitoring and Alerts: Offers continuous monitoring of website health and customizable alerts for critical technical issues, enabling proactive problem resolution.
• Customizable Reports: Generates detailed, exportable reports that can be tailored to specific stakeholder needs, highlighting key performance indicators and actionable recommendations.
• API Access: Allows programmatic access to crawl data and reporting functionalities, facilitating integration with internal tools and data warehousing solutions.

Pricing

Lumar operates on a custom enterprise pricing model. Specific pricing details are not publicly listed and require direct consultation with their sales team due to the tailored nature of their solutions for large organizations.

Pricing as of May 2026.

For detailed pricing information, prospective users are directed to the Lumar pricing page to request a custom quote.

Common integrations

• Google Analytics: For combining crawl data with user behavior metrics to understand the impact of technical issues on user engagement. Lumar Google Analytics Integration Guide
• Google Search Console: To align crawl data with Google's reported indexing status and performance data. Lumar Google Search Console Integration Guide
• Adobe Analytics: For enterprise clients using Adobe's suite, enabling a consolidated view of SEO performance alongside other digital marketing data. (Specific documentation varies by implementation, refer to Lumar documentation for general integration capabilities.)
• Server Log Files: Direct integration with server logs to analyze search engine bot activity and optimize crawl budget. Lumar Log File Analysis Introduction
• Data Warehouses/Business Intelligence Tools: Via API, Lumar data can be exported and integrated into internal data lakes, BI dashboards, or custom reporting systems for advanced analysis. Lumar's API documentation provides details on data export.

Alternatives

• Screaming Frog SEO Spider: A desktop-based website crawler popular for smaller to medium-sized sites, offering detailed technical SEO analysis.
• Botify: An enterprise SEO platform that focuses on optimizing the search engine journey from crawl to conversion, offering similar capabilities for large websites.
• Sitebulb: A website auditing tool known for its visual data representations and actionable insights, aimed at a broad range of SEO professionals.
• Ahrefs Site Audit: Part of the Ahrefs suite, this tool crawls websites to find technical SEO issues and provides recommendations, suitable for various site sizes.
• Semrush Site Audit: Integrated within the Semrush platform, it identifies common SEO issues and offers suggestions for improvement across different website scales.

Getting started

Accessing Lumar primarily involves setting up an account and configuring your first crawl through their web interface. While Lumar is not typically used via a direct "hello world" code example in the same way an API or SDK might be, a common initial step involves defining a project and initiating a crawl. The following pseudo-code illustrates the logical steps involved in setting up a basic crawl configuration, typically performed within the Lumar platform's UI, but conceptually representable for understanding the workflow:

// Pseudocode representation of setting up a Lumar crawl

// 1. Authenticate and access the Lumar platform
function login(username, password) {
    // ... API call or UI login ...
    return session_token;
}

// 2. Create a new project for your website
function createProject(projectName, websiteURL, session_token) {
    // POST /api/v1/projects
    // Body: { "name": projectName, "startUrl": websiteURL }
    // Returns: { "projectId": "abc123def456" }
    console.log(`Created project: ${projectName} for ${websiteURL}`);
    return projectId;
}

// 3. Configure the crawl settings (e.g., crawl depth, user agent)
function configureCrawl(projectId, settings, session_token) {
    // PUT /api/v1/projects/{projectId}/crawl-settings
    // Body: { "maxPages": settings.maxPages, "userAgent": settings.userAgent, "javascriptRendering": settings.jsRender }
    // Returns: { "status": "success" }
    console.log(`Configured crawl settings for project ${projectId}.`);
}

// 4. Start the crawl
function startCrawl(projectId, session_token) {
    // POST /api/v1/projects/{projectId}/crawls/start
    // Returns: { "crawlId": "xyz789uvw012", "status": "started" }
    console.log(`Crawl started for project ${projectId}.`);
    return crawlId;
}

// 5. Monitor crawl progress (optional, often via webhooks or polling the API)
function getCrawlStatus(crawlId, session_token) {
    // GET /api/v1/crawls/{crawlId}/status
    // Returns: { "status": "running" | "completed" | "failed", "progress": "percentage" }
    console.log(`Checking status of crawl ${crawlId}...`);
}

// Example usage flow
const userSession = login("myuser", "mypassword");
const myWebsiteProject = createProject("MyCompany Website", "https://www.example.com", userSession);

configureCrawl(myWebsiteProject, {
    maxPages: 100000,
    userAgent: "LumarBot",
    jsRender: true
}, userSession);

const activeCrawl = startCrawl(myWebsiteProject, userSession);

// In a real scenario, you'd monitor this over time or receive notifications
// getCrawlStatus(activeCrawl, userSession); 

console.log("Initial Lumar setup for a website crawl complete.");

This conceptual flow outlines how users typically interact with Lumar to initiate a technical audit. The platform's extensive documentation provides detailed guides for setting up projects, configuring advanced crawl settings, and interpreting the results. For direct API interaction and advanced automation, developers can refer to the Lumar help documentation, which includes information on API endpoints for data extraction and integration with other systems.