TEARDOWN 62 · REVIEWED 2026-08-18

Lumar

Lumar (formerly DeepCrawl) is an enterprise technical SEO platform that crawls the site or sites you point it at from Lumar's own cloud infrastructure, rather than running as desktop software on your machine. It layers 250+ pre-built reports, scheduled monitoring, and — more recently — AI-visibility tracking on top of that crawl.

API STITCHCAN YOU BUILD IT YOURSELF?Partially — core crawl is buildable
CUSTOM QUOTE — NO PUBLIC PRICINGCONFIDENCE MEDIUM3 PARTS

The crawl loop itself is the same weekend build as any other crawler; what Lumar actually sells is serverless cloud infrastructure that crawls millions of URLs at up to 450 pages a second with SOC 2-certified governance, which is a distributed-systems project, not a script.

SERVERLESS CLOUD CRAWLER450 URLS/SECSOC 2 TYPE 2

What you lose building it yourself

  • Crawling millions of URLs without your own machine or script choking
  • 250+ pre-built technical SEO reports
  • SOC 2 Type 2 governance across multiple brands, regions, or teams
  • AI-visibility/GEO tracking layered on the same crawl data

Why people still pay

A weekend script proves the crawl loop works on one site; Lumar's price buys not having to build and operate the distributed infrastructure that keeps a crawl running reliably across millions of URLs on a deadline, plus SOC 2 governance and pre-built reporting that enterprise procurement teams specifically ask for.

BUILD YOUR OWN · WEEKEND SCOPE (SINGLE-SITE CRAWL)

An AI coding tool can build the same crawl loop as any other technical SEO crawler in a day or two: follow internal links, render JavaScript, and flag broken pages or missing meta data to a spreadsheet. What it won't get you quickly is Lumar's serverless infrastructure for crawling millions of URLs at hundreds of pages a second, its 250+ pre-built reports, or its compliance and access-control setup for enterprise teams — those are ongoing distributed-systems and governance work, not a weekend script.

StackA headless browser library (Playwright/Puppeteer) for crawling and JS rendering · a URL queue with concurrency and rate limiting · an HTML parser for links, titles, and meta tags · a CSV or spreadsheet export.

Prompt
Build a command-line crawler in Python. Given a start URL, follow only same-domain internal links up to 1,000 pages, using Playwright to render JavaScript before reading each page's final HTML.

Record per page: status code, title, meta description, word count, and outbound links, to a CSV. Flag broken links, missing/duplicate titles, and redirect chains over 2 hops. Respect robots.txt, cap concurrency at 5 simultaneous requests, and retry a failed fetch once before logging it as broken.
Out of scope: serverless auto-scaling to hundreds of URLs per second, SOC 2-certified multi-team governance, and the 250+ pre-built report library — that's the standing infrastructure and compliance work an enterprise contract actually buys.
0 built so far

Similar tools

Free alternative: LibreCrawlan open-source crawler with no URL cap covers the same core crawl-and-audit job for free on a single machine; nothing free matches Lumar's serverless infrastructure for crawling millions of URLs at enterprise speed, or its SOC 2 governance

Vendor's own claim

"up to 450 URLs per second for non-rendered content and 350 URLs per second for rendered content"

lumar.io/blog/company-news/enhanced-crawler-ultra-fast-website-crawling/ · RETRIEVED 2026-08-18

Verified 2026-08-18Spot something wrong? →

QUESTIONS

Is Lumar the same product as DeepCrawl?

Yes — DeepCrawl rebranded to Lumar in September 2022 and expanded from a pure crawler into a broader platform covering technical SEO, site speed, accessibility, and AI-search visibility.