
Gaffa is an API for web scraping and browser automation that gives developers control over real, full browsers with a single request, no headless-browser setup, proxy management, or infrastructure scaling required. Pages render with full JavaScript support by default, matching exactly what a real user would see.
The platform covers the full range of automation needs: scraping, AI-powered data extraction into structured JSON using custom schemas, full-page screenshots, PDF export, infinite-scroll scraping, automated form filling, and converting webpages into clean Markdown for AI and LLM workflows. Reliability is built in through a rotating residential proxy network and automatic CAPTCHA and anti-bot handling, so requests succeed even against protected sites.
Pricing follows a transparent, credit-based model tied to browser execution time and bandwidth, making costs predictable as usage scales. Gaffa is aimed at AI engineers, data-driven teams, and developers who need dependable, large-scale web data without the overhead of running their own scraping infrastructure.
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JS7 JobScheduler is an open-source workload automation platform engineered for both high performance and durability. It adheres to cutting-edge security protocols, enabling limitless capacity for executing jobs and workflows in parallel. Additionally, JS7 facilitates cross-platform job execution and managed file transfers while supporting intricate dependencies without requiring any programming skills. The JS7 REST-API streamlines automation for inventory management and job oversight, enhancing operational efficiency. Capable of managing thousands of agents simultaneously across diverse platforms, JS7 truly excels in its versatility.
Platforms supported by JS7 range from cloud environments like Docker®, OpenShift®, and Kubernetes® to traditional on-premises setups, accommodating systems such as Windows®, Linux®, AIX®, Solaris®, and macOS®. Moreover, it seamlessly integrates hybrid cloud and on-premises functionalities, making it adaptable to various organizational needs.
The user interface of JS7 features a contemporary GUI that embraces a no-code methodology for managing inventory, monitoring, and controlling operations through web browsers. It provides near-real-time updates, ensuring immediate visibility into status changes and job log outputs. With multi-client support and role-based access management, users can confidently navigate the system, which also includes OIDC authentication and LDAP integration for enhanced security.
In terms of high availability, JS7 guarantees redundancy and resilience through its asynchronous architecture and self-managing agents, while the clustering of all JS7 products enables automatic failover and manual switch-over capabilities, ensuring uninterrupted service. This comprehensive approach positions JS7 as a robust solution for organizations seeking dependable workload automation.
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Load Xpert
Software solutions tailored for logistics in shipping and packing play a crucial role in calculating the best methods for loading a variety of freight types, such as paper rolls, pallets, skids, crates, and boxes, onto trucks, trailers, containers, or railcars. Load planning software enhances this process by automatically suggesting one or more optimal configurations for loading goods into trailers, containers, and railcars, simplifying the creation of efficient load plans. In addition to streamlining the online loan application process, this technology also helps lower transportation costs through more effective cargo load planning methodologies. By improving load arrangements and cargo blocking strategies, businesses can reduce both the time and effort needed for load plan development, while also cutting expenses related to dunnage materials. Moreover, efficient load planning lessens the likelihood of cargo damage, helps prevent overweight fines, and avoids unnecessary trips to weigh scales, leading to substantial savings in both time and financial resources during the shipping process. Ultimately, this software not only promotes a more streamlined logistics operation but also ensures that companies can operate more profitably and sustainably.
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ContainerMath
ContainerMath is a cutting-edge 3D load-planning solution designed to convert disordered cargo lists into streamlined, well-balanced, and export-ready packing strategies suitable for various shipping methods, such as cartons, crates, shipping containers, trailers, and rail wagons. Users can effortlessly enter their dispatch and packing lists or upload Excel files, allowing the AI-powered manifest import to meticulously handle quantities, dimensions, and weights, standardizing units while systematically arranging the cargo for optimal load planning. The Carton Fit feature determines the maximum number of products that can fit within a shipping carton or crate, calculating the necessary boxes and considering optional weight limits. Furthermore, the Freight component adeptly organizes diverse cargo into highly effective 3D load plans, factoring in actual geometry, orientation, stacking rules, and pipe nesting as needed. To enhance usability, interactive 3D visualizations alongside detailed 2D cross-sections provide loading teams with a precise sequence for placement, while assessments of center-of-gravity, payload capacity, weight distribution, and axle balance are essential for guaranteeing safe and stable shipments. Additionally, the platform's sophisticated features not only boost overall shipping efficiency but also play a significant role in reducing logistical issues encountered during transit, ensuring a smoother shipping experience.
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