Crawler Sh
crawler.sh focuses on one job: crawling websites quickly from a local machine, then turning that crawl into structured data for SEO audits, content archiving, and sitemaps. It comes as both a desktop app and a command line tool, so it works for technical SEOs, developers, and marketers who prefer a visual dashboard.
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- Want to leave it? Find a replacement — see feature losses and migration risks.
Pricing
- CLI Tool: $99 per year; includes crawl, info, export, and SEO subcommands, NDJSON/JSON/Sitemap XML outputs, content extraction with Markdown output, and 16-category SEO analysis with CSV/TXT export.
- Desktop Pro: $99 per year; includes a visual dashboard with 8 interactive cards, real-time crawl feed with status badges, SEO issues panel with per-URL details, and content archive export as Markdown.
Features
- High-speed site crawling: Crawls entire domains in seconds with configurable concurrency, depth limits, and polite delays so users can tune performance without hammering servers.
- Content extraction to Markdown: Automatically isolates main article content on each page and converts it to clean Markdown, with word count, author byline, and excerpt for consistent downstream use.
- Automated SEO analysis: Runs 16 checks per URL to flag missing titles, duplicate meta descriptions, noindex tags, thin content, long URLs, and similar issues, then exports them as CSV or human-readable TXT.
- Multiple export formats: Streams crawl results as NDJSON for pipelines, or exports as JSON arrays, Sitemap XML that follows W3C guidelines, and Markdown content archives.
- Desktop dashboard and CLI: The CLI provides crawl, info, export, and SEO subcommands, while the desktop app adds a visual dashboard, real-time crawl feed, SEO issues panel, and per-URL content previews.
- Local-first, privacy-friendly design: All crawling and analysis happen on the user’s own machine, which is appealing for sensitive sites, pre-release environments, or proprietary content.
Use cases
- SEO agencies and consultants: Auditing client sites, exporting issue lists, and generating fresh sitemaps before handing off recommendations.
- In-house marketing and SEO teams: Monitoring corporate sites for broken links, missing pages, and regressions after deployments.
- Developers and technical SEOs: Automating crawls via the CLI to feed CI pipelines, content migrations, or custom QA scripts.
- Content operations and archivists: Converting large sets of articles into Markdown for backups, migrations, or ingestion into knowledge bases and LLM systems.
- Uncommon Use Cases: Used by product teams to crawl staging environments before releases; adopted by researchers who need structured text corpora from public websites for machine learning experiments.