Marketing Miner vs Open SEO Crawler

Marketing Miner provides search, website visibility, and AI assistant data through web and API access. Its tools cover keyword research, competitor analysis, rank tracking, and SEO audits, alongside tracking of how generative AI systems mention brands, competitors, and sources. Keyword research includes search volume, suggestions, trends, cost per click, competitiveness, and bulk processing of up to 40,000 keywords. Competitor Analysis shows competitor keywords, estimated visitors, strongest pages, competing domains, and content gaps. Rank Tracking measures Google and Seznam positions, with up to five competitors per website; the SEO Audit uses more than 10 tools to check status codes, loading speed, broken links, and indexing. The MCP connection works with ChatGPT, Claude, and Claude Code and is included in paid plans. Paid plans include API and Looker Studio integration. A free plan is available, and paid plans start at €19 a month, billed monthly and excluding VAT. The maker is based in České Budějovice, Czech Republic, and was founded in 2015.

Open SEO Crawler is a free, self-hosted, open-source tool for auditing websites for technical SEO issues. It checks titles, meta descriptions, H1s, canonicals, structured data, redirects, HTTP errors, indexability, hreflang, mobile viewports, mixed content, images and security headers. It detects numerous CMS platforms, including Shopify, WordPress, Webflow, Wix, Squarespace, Kajabi, Ghost, Drupal, HubSpot and Joomla, then applies crawl recommendations. Optional Playwright rendering supports JavaScript-heavy sites, while compare mode identifies content absent from raw HTML.

Bulk reports can be exported to XLSX, and sitemap export is available. Default settings allow 1,500 pages, five workers, a 0.4-second per-host delay and depth 10; the page cap can be changed to unlimited. The crawler runs locally without accounts, telemetry or API calls, though it contacts target sites and checks GitHub for updates when requested. Installers are documented for Linux, macOS 11 or newer, and Windows 10/11. The project uses the MIT license.