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features
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support

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Description

The GNews API serves as a robust RESTful news service that empowers developers to effortlessly search and access both current and historical articles from around the globe in real-time through straightforward HTTP GET requests that yield JSON responses. It compiles an extensive collection of tens of millions of articles sourced from more than 60,000 outlets across 30 countries and 22 languages, consistently refreshing live feeds while maintaining up to three years of archival information. An advanced in-house deep-learning extractor guarantees high-quality retrieval of full-text articles, complemented by a low-latency design that achieves response times averaging between 100 to 200 milliseconds. Users can execute sophisticated queries utilizing logical operators alongside ten optional parameters to refine results by keyword, language, country, or date range, and the endpoints provide support for paging and content expansion. Designed to be CORS-enabled, it integrates smoothly within any programming environment, eliminating the need for crawler maintenance and ensuring a remarkable uptime of 99.9%. Additionally, this API allows developers to tap into a wealth of information swiftly, enhancing the user experience with its speed and reliability.

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

Screenshots View All

Integrations

Amazon Web Services (AWS)
BI Book
Docker
Google Colab
JSON
JavaScript
Jupyter Notebook
Python
React

Integrations

Amazon Web Services (AWS)
BI Book
Docker
Google Colab
JSON
JavaScript
Jupyter Notebook
Python
React

Pricing Details

€49.99 per 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

GNews API

Country

United States

Website

gnews.io

Vendor Details

Company Name

HyperCrawl

Website

hypercrawl.hyperllm.org

Product Features

Alternatives

Alternatives