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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Retool is an AI-driven platform that helps teams design, build, and deploy internal software from a single unified workspace. It allows users to start with a natural language prompt and turn it into production-ready applications, agents, and workflows. Retool connects to nearly any data source, including SQL databases, APIs, and AI models, creating a real-time operational layer on top of existing systems. The platform supports AI agents, LLM-powered workflows, dashboards, and operational tools across teams. Visual app building tools allow users to drag and drop components while seeing structure and logic in real time. Developers can fully customize behavior using code within Retool’s built-in IDE. AI assistance helps generate queries, UI elements, and logic while remaining editable and schema-aware. Retool integrates with CI/CD pipelines, version control, and debugging tools for professional software delivery. Enterprise-grade security, permissions, and hosting options ensure compliance and scalability. The platform supports data, operations, engineering, and support teams alike. Trusted by startups and Fortune 500 companies, Retool significantly reduces development time and manual effort. Overall, it enables organizations to build smarter, AI-native internal software without unnecessary complexity.
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ETLR
ETLR acts as an automation solution for AI workflows, enabling users to create, manage, and deploy workflows using YAML configuration files. By adopting a 'workflows as code' approach, it eliminates the need for a graphical user interface, simplifying the overall management of AI processes.
The platform features built-in version control, which facilitates the tracking of changes and allows for easy rollbacks when necessary. Deploying workflows can be done with a simple command, which drastically cuts down on the time and effort required for infrastructure setup, making it an efficient choice for developers.
ETLR also integrates effortlessly with a range of services such as OpenAI, AWS, Slack, and Python, enhancing its versatility. Additionally, it provides valuable functionalities like real-time metrics, structured logs, and detailed execution traces, giving users thorough visibility into their workflows.
For enterprise clients, ETLR offers the advantage of dedicated support and service level agreements (SLAs) that ensure reliability and quick assistance. The pricing structure is designed to be clear and operates on a credit system, where each credit is equivalent to one workflow execution, promoting transparency in billing. Ultimately, ETLR stands out not merely as a tool but as a strategic ally in the automation of AI workflows, fostering innovation and efficiency in various applications.
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