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Description
CrawlBeast is a desktop SEO crawler and technical audit tool designed for freelancers, agencies, consultants, and businesses that need faster website diagnostics. The platform helps users crawl domains and sitemaps, identify technical SEO issues, classify problems, and prioritize the fixes most likely to impact search visibility. CrawlBeast can detect broken links, 404 pages, redirect loops, missing metadata, incomplete OpenGraph tags, image alt text issues, rendering blockers, crawl blocks, and other on-page SEO problems. Its local desktop setup helps users avoid browser lag, cloud delays, and recurring SaaS crawl-credit limits. The platform supports project organization, audit logs, issue breakdowns, crawl ratios, SEO health scores, export formats, and structured reporting. Agencies can use CrawlBeast to manage multiple client domains and run large audits from a local SQLite database. The tool is also positioned for AI search optimization by helping users verify site architecture, schema markings, and JavaScript rendering for AI search bot retrieval. Coming AI-powered insights are designed to generate issue explanations, impact scores, and technical fix recommendations. By combining fast desktop crawling, structured audit reports, local data storage, project management, export workflows, and prioritized SEO diagnostics, CrawlBeast helps teams turn SEO findings into revenue-focused action.
Description
HyperCrawl is an innovative web crawler tailored specifically for LLM and RAG applications, designed to create efficient retrieval engines. Our primary aim was to enhance the retrieval process by minimizing the time spent crawling various domains. We implemented several advanced techniques to forge a fresh ML-focused approach to web crawling. Rather than loading each webpage sequentially (similar to waiting in line at a grocery store), it simultaneously requests multiple web pages (akin to placing several online orders at once). This strategy effectively eliminates idle waiting time, allowing the crawler to engage in other tasks. By maximizing concurrency, the crawler efficiently manages numerous operations at once, significantly accelerating the retrieval process compared to processing only a limited number of tasks. Additionally, HyperLLM optimizes connection time and resources by reusing established connections, much like opting to use a reusable shopping bag rather than acquiring a new one for every purchase. This innovative approach not only streamlines the crawling process but also enhances overall system performance.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
Docker
Google Colab
JavaScript
Jupyter Notebook
Python
React
Integrations
Amazon Web Services (AWS)
Docker
Google Colab
JavaScript
Jupyter Notebook
Python
React
Pricing Details
$29/month
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
CrawlBeast
Founded
2011
Country
India
Website
crawlbeast.com
Vendor Details
Company Name
HyperCrawl
Website
hypercrawl.hyperllm.org
Product Features
SEO
A/B Testing
Artificial Intelligence (AI)
Auditing
Competitor Analysis
Content Management
Dashboard
Google Analytics Integration
Keyword Research Tools
Keyword Tracking
Link Management
Localization
Mobile Search Tracking
Rank Tracking
Revenue Management
User Management