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crawler.sh

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crawler.sh is a local-first website crawler and SEO audit tool that checks 16 on-page issues per URL, exports to Markdown, NDJSON, JSON, CSV, and Sitemap XML — all on your own machine.

Pricing Model
paid
Skill Level
All Levels
Best For
SEO and Digital MarketingWeb DevelopmentContent OperationsTechnical Consulting
Use Cases
SEO AuditingContent ExtractionSitemap GenerationLLM Data Pipelines
Visit Site
4.5/5
Overall Score
6+
Features
1
Pricing Plans
0
User Reviews
Updated 30 May 2026
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What is crawler.sh?

crawler.sh is a desktop application and command-line tool that crawls entire websites from a local machine, performing 16-point on-page SEO audits and converting page content into structured formats including Markdown, NDJSON, JSON array, CSV, and W3C-compliant Sitemap XML — with zero cloud dependency and no per-crawl fees. SEO teams relying on cloud-based tools pay monthly fees even for one-off audits, and send sensitive client site data to external servers. crawler.sh eliminates both problems. Written in Rust for high-speed concurrent crawling, it processes thousands of pages in seconds with configurable depth limits and polite request delays. The 16 automated SEO checks flag missing titles, duplicate meta descriptions, noindex tags, thin content, and long URLs — the same audit a consultant would run manually, automated in a single command. A freelance SEO handling a 2,000-page e-commerce audit can run the full crawl, export issues as CSV for the client, and generate a fresh sitemap in one workflow without leaving the terminal. The free tier allows crawls up to 600 pages. The Pro plan at $99 per year raises this to 1,000 pages and adds Content Archive export, which packages clean Markdown for every crawled page — useful for feeding website content into LLM pipelines or knowledge base migrations. One confirmed technical limitation: official documentation does not address JavaScript rendering, meaning React, Vue, or Angular SPAs may return incomplete HTML. For SPA-heavy sites, pre-rendering with Playwright before running crawler.sh is the recommended workaround.

crawler.sh is a local-first website crawler and SEO audit tool that checks 16 on-page issues per URL, exports to Markdown, NDJSON, JSON, CSV, and Sitemap XML — all on your own machine.

crawler.sh is widely used by professionals, developers, marketers, and creators to enhance their daily work and improve efficiency.

Key Features

1
High-speed site crawling
Crawls entire domains at high concurrency with configurable depth limits and polite delays, giving users precise control over scope and server load for both small blogs and large content sites without rate-limit violations.
2
Content extraction to Markdown
Automatically isolates main article content from each crawled page and converts it to clean Markdown, capturing word count, author byline, and excerpt — ready for LLM ingestion, knowledge base migration, or content archiving pipelines.
3
Automated SEO analysis
Runs 16 on-page checks per URL covering missing titles, duplicate meta descriptions, noindex tags, thin content, and long URLs, then exports the full issue list as CSV or plain TXT for client-ready reporting.
4
Multiple export formats
Streams crawl data as real-time NDJSON for pipeline integrations, or exports as JSON array, W3C-compliant Sitemap XML, CSV, and plain TXT — giving developers and SEO teams format flexibility without additional conversion steps.
5
Desktop dashboard and CLI
The CLI offers crawl, info, export, and SEO subcommands for scripted workflows, while the desktop app provides a live crawl feed, SEO issues panel, HTTP status donut chart, and per-URL content previews for visual inspection.
6
Local-first, privacy-friendly design
All crawling, SEO analysis, and content extraction run entirely on the user's machine — no account required for the free tier, and no external data transfer, making it appropriate for confidential client sites and staging environments.

Pros & Cons

✓ Pros (5)
Fast and configurable Rust-based concurrent crawling with granular concurrency and depth controls handles everything from single-page sites to large content domains without hammering servers — performance that cloud tools at the same price point rarely match.
Great for AI and data workflows Clean Markdown, real-time NDJSON, and JSON array outputs plug directly into LLM pipelines, vector databases, and custom analytics jobs without requiring intermediate data transformation steps.
Local-first privacy All crawl data stays on the user's machine, making crawler.sh the only practical option for auditing pre-release environments, password-protected staging servers, or client sites with strict data handling requirements.
Dual interface CLI fans get powerful scripting with four subcommands, while less technical team members get an approachable desktop UI featuring real-time status cards, an SEO issues panel, and a per-URL content preview pane.
SEO-focused out of the box The built-in 16-check SEO audit — covering issues from thin content to duplicate descriptions — saves time compared to writing custom validation rules, and outputs are immediately actionable without post-processing.
✕ Cons (3)
No hosted SaaS version crawler.sh runs exclusively on the user's machine, so teams that prefer browser-based tools, cloud scheduling, or shared access to crawl results across distributed team members cannot use it in that workflow without additional infrastructure.
Limited native integrations There is no direct connector to platforms like Google Search Console, Ahrefs, or project management tools, meaning crawl data must be exported and manually imported into other systems rather than syncing automatically.
Niche feature set crawler.sh covers on-page audits and content extraction only — users needing backlink analysis, keyword rank tracking, or competitor monitoring will still need a separate tool such as Semrush or Ahrefs alongside it.

Who Uses crawler.sh?

SEO agencies and consultants
Running full-site audits on client domains, exporting issue lists as CSV for remediation reports, and generating fresh Sitemap XML as part of technical SEO handoff packages — all without submitting client data to a cloud service.
In-house marketing and SEO teams
Monitoring production sites for broken links, missing metadata, and content regressions after CMS deployments or site migrations, using the desktop dashboard's live feed to spot issues in real time during a crawl.
Developers and technical SEOs
Automating crawls via CLI subcommands to feed CI/CD pipelines, validate content migrations, or run pre-release QA scripts — integrating NDJSON output directly into custom analytics or alerting systems.
Content operations and archivists
Converting large sets of published articles into clean Markdown archives for knowledge base migrations, LLM training corpora, or internal documentation systems using the Pro plan's Content Archive export feature.
Uncommon Use Cases
Product teams crawling staging environments before public releases to validate metadata completeness; ML researchers extracting structured text corpora from public websites for fine-tuning or retrieval-augmented generation experiments.

crawler.sh vs Luna vs Shipixen vs WhatDo

Detailed side-by-side comparison of crawler.sh with Luna, Shipixen, WhatDo — pricing, features, pros & cons, and expert verdict.

Compare
c
crawler.sh
Paid
Visit ↗
Luna
Freemium
Visit ↗
Shipixen
Paid
Visit ↗
WhatDo
Free
Visit ↗
💰Pricing
PaidFreemiumPaidFree
Rating
🆓Free Trial
Key Features
  • High-speed site crawling
  • Content extraction to Markdown
  • Automated SEO analysis
  • Multiple export formats
  • Database Access
  • AI-Powered Messaging
  • Task Management
  • Multichannel Outreach
  • AI Content Generation
  • SEO Optimization
  • Comprehensive Templates
  • One-Click Deployment
  • Comprehensive Destination Coverage
  • AI-Powered Itinerary Planning
  • Real-Time Booking
  • Interactive Travel Guides
👍Pros
Rust-based concurrent crawling with granular concurrenc
Clean Markdown, real-time NDJSON, and JSON array output
All crawl data stays on the user's machine, making craw
Automating lead discovery, AI message drafting, and fol
Luna's pricing replaces the cost of separate data enric
AI-personalized emails referencing contact-specific dat
Generating a complete Next.js codebase with branding, S
Shipixen operates on a one-time purchase model with no
Brand input fields, theme selection, and one-click depl
Consolidating destination research, itinerary generatio
WhatDo's integration with multiple travel services posi
40,000+ destination coverage means WhatDo has useful co
👎Cons
crawler.sh runs exclusively on the user's machine, so t
There is no direct connector to platforms like Google S
crawler.sh covers on-page audits and content extraction
Sales reps new to AI-assisted outreach often spend the
While Luna supports LinkedIn and calling, the platform'
The free tier provides access to core features at low v
Developers unfamiliar with Next.js, MDX, or Tailwind CS
Payment processing via Stripe, LemonSqueezy, or Paddle
Shipixen's desktop application runs on macOS and Window
Real-time booking integration, AI itinerary generation,
For travelers visiting a destination with very limited
WhatDo's full feature set — preference calibration, iti
🎯Best For
SEO agencies and consultantsSmall and Medium EnterprisesE-commerce BusinessesSolo Travelers
🏆Verdict
crawler.sh is the most practical choice for privacy-consciou…
Compared to manual cold outreach workflows, Luna reduces pro…
For startup founders and freelance developers building Next.…
Compared to manually coordinating itinerary planning across …
🔗Try It
Visit crawler.sh ↗Visit Luna ↗Visit Shipixen ↗Visit WhatDo ↗
🏆
Our Pick
crawler.sh
crawler.sh is the most practical choice for privacy-conscious SEO audits and LLM data pipelines — particularly for agenc
Try crawler.sh Free ↗

crawler.sh vs Luna vs Shipixen vs WhatDo — Which is Better in 2026?

Choosing between crawler.sh, Luna, Shipixen, WhatDo can be difficult. We compared these tools side-by-side on pricing, features, ease of use, and real user feedback.

crawler.sh vs Luna

crawler.sh — crawler.sh is an AI Tool for SEO professionals and developers who need fast, private, on-machine site audits and structured content exports. Its dual CLI and de

Luna — Luna is an AI Tool that combines a 275 million contact database with AI-generated personalized messaging and multichannel outreach capabilities across email, Li

  • crawler.sh: Best for SEO agencies and consultants, In-house marketing and SEO teams, Developers and technical SEOs, Conte
  • Luna: Best for Small and Medium Enterprises, Startups, Sales Professionals, Marketing Agencies, Uncommon Use Cases

crawler.sh vs Shipixen

crawler.sh — crawler.sh is an AI Tool for SEO professionals and developers who need fast, private, on-machine site audits and structured content exports. Its dual CLI and de

Shipixen — Shipixen is an AI Tool that eliminates the boilerplate tax on Next.js SaaS development — the repetitive scaffold setup that delays every new project regardless

  • crawler.sh: Best for SEO agencies and consultants, In-house marketing and SEO teams, Developers and technical SEOs, Conte
  • Shipixen: Best for E-commerce Businesses, Digital Marketing Agencies, Startup Founders, Freelance Developers, Uncommon

crawler.sh vs WhatDo

crawler.sh — crawler.sh is an AI Tool for SEO professionals and developers who need fast, private, on-machine site audits and structured content exports. Its dual CLI and de

WhatDo — WhatDo is an AI Tool that integrates destination discovery, personalized itinerary planning, and real-time booking across flights, accommodations, and activitie

  • crawler.sh: Best for SEO agencies and consultants, In-house marketing and SEO teams, Developers and technical SEOs, Conte
  • WhatDo: Best for Solo Travelers, Adventure Seekers, Cultural Enthusiasts, Food Lovers, Uncommon Use Cases

Final Verdict

crawler.sh is the most practical choice for privacy-conscious SEO audits and LLM data pipelines — particularly for agencies managing pre-release or internal environments where cloud-based crawlers create data exposure risks. The primary limitation is the lack of JavaScript rendering support, which makes it unreliable for auditing modern single-page applications without a pre-rendering workaround.

FAQs

2 questions
Does crawler.sh work without an internet connection?
crawler.sh crawls live websites so an active internet connection is required during a crawl. However, all data processing, SEO analysis, and export generation run locally on your machine with no cloud dependency, meaning crawl results are never transmitted to an external server and the tool functions without a user account on the free tier.
What is the page limit on the free vs. Pro plan?
The free tier allows crawls of up to 600 pages per session. The Pro plan, priced at $99 per year, raises the per-crawl limit to 1,000 pages and adds the Content Archive export format, which packages clean Markdown files for every crawled page — useful for LLM pipelines and content migration projects. Within either limit, users can configure a lower Max Pages value to scope crawls precisely.

Expert Verdict

Expert Verdict
crawler.sh is the most practical choice for privacy-conscious SEO audits and LLM data pipelines — particularly for agencies managing pre-release or internal environments where cloud-based crawlers create data exposure risks. The primary limitation is the lack of JavaScript rendering support, which makes it unreliable for auditing modern single-page applications without a pre-rendering workaround.

Summary

crawler.sh is an AI Tool for SEO professionals and developers who need fast, private, on-machine site audits and structured content exports. Its dual CLI and desktop interface suits both scripting workflows and non-technical teams. It is not suited for teams needing backlink analysis, rank tracking, or integrated keyword research.

It is suitable for beginners as well as professionals who want to streamline their workflow and save time using advanced AI capabilities.

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