Intelligent Data Collection
Gather data from public APIs, RSS feeds, open datasets, and user-contributed sources. Legal and ethical data acquisition only.
Advanced AI-Powered Data Aggregation & Real-Time Web Monitoring
Ethical data collection, intelligent analysis, and automated insights from public web sources. Privacy-first design with GDPR compliance.
Gather data from public APIs, RSS feeds, open datasets, and user-contributed sources. Legal and ethical data acquisition only.
Advanced AI models summarize, extract insights, identify trends, and answer questions using RAG and modern LLMs.
Monitor news, trends, and data sources in real-time with intelligent caching and workflow automation.
GDPR-ready, transparent data handling, full respect for robots.txt and rate limits. Security and compliance built-in.
Open-source friendly approach with clear attribution, transparent methodologies, and community-driven contributions.
Designed to be accessible using smart caching, serverless architecture, and efficient AI API usage strategies.
Aggregate and analyze news from multiple sources with AI-powered summarization and trend detection.
Track industry trends, competitor movements, and market signals from public data sources.
Gather and synthesize information from academic papers, technical blogs, and research repositories.
Find and curate relevant content from across the web based on your interests and topics.
Identify emerging trends, viral content, and shifting narratives across multiple platforms.
Understand discussions, sentiment, and themes from forums, social media, and community platforms.
Unified interface for connecting to REST APIs, GraphQL endpoints, and data feeds from public sources.
High-performance feed parsing and monitoring system for real-time content discovery and updates.
LLM-powered processing for summarization, entity extraction, sentiment analysis, and trend identification.
Semantic search and retrieval-augmented generation for intelligent question answering over aggregated data.
Edge-based caching system reducing API costs and improving response times for frequently accessed data.
Scheduled data collection, processing pipelines, and alert systems for monitoring specific information.
Built-in robots.txt checking, rate limiting, GDPR compliance tools, and transparent data lineage tracking.
Connectors for government datasets, academic repositories, and community-contributed data sources.
OpenCrab is an AI-powered web intelligence platform that collects data from public sources like APIs, RSS feeds, and open datasets. It uses advanced AI to analyze, summarize, and extract insights from this data, helping you understand trends and monitor information without the complexity of traditional web scraping.
Yes! OpenCrab only collects data from public APIs, RSS feeds, and openly available datasets. We respect robots.txt, implement rate limiting, and follow GDPR guidelines. We don't engage in unauthorized web scraping or access private data.
We're currently in active development. Join our early access list to be notified when we launch and get exclusive preview access to the platform.
Our goal is to make OpenCrab accessible to everyone. We're designing the platform with smart caching and efficient architecture to minimize costs. Pricing details will be announced closer to launch, but we're committed to offering a free tier for individual users.
OpenCrab supports public APIs (REST and GraphQL), RSS/Atom feeds, open government datasets, academic repositories, and community-contributed data sources. We're continuously expanding our integrations to provide comprehensive coverage of publicly available information.
Privacy is built into OpenCrab's core. We implement GDPR-compliant data handling, transparent data lineage tracking, respect robots.txt directives, and only collect publicly available information. All processing is done with full transparency and user control.
Absolutely! OpenCrab embraces an open-source friendly approach. We'll provide APIs and documentation for community members to contribute data connectors, suggest new features, and integrate their own public data sources. Community contribution will be a core part of the platform.
OpenCrab leverages modern Large Language Models (LLMs) for analysis, summarization, and insight generation. We use Retrieval-Augmented Generation (RAG) for accurate question-answering and vector databases for semantic search. The specific models will be optimized for cost-efficiency and performance.
Be among the first to experience OpenCrab when we launch. Get exclusive preview access and help shape the future of AI-powered web intelligence.
Request Early Access