Top Scalebrowser Alternatives

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.

Apify offers a comprehensive platform for web scraping, browser automation, and data extraction at scale. The platform combines managed cloud infrastructure with a marketplace of over 10,000 ready-to-use automation tools called Actors, making it suitable for both developers building custom solutions and business users seeking turnkey data collection. Actors are serverless cloud programs that handle the technical complexities of modern web scraping: proxy rotation, CAPTCHA solving, JavaScript rendering, and headless browser management. Users can deploy pre-built Actors for popular use cases like scraping Amazon product data, extracting Google Maps listings, collecting social media content, or monitoring competitor pricing. For specialized needs, developers can build custom Actors using JavaScript, Python, or Crawlee, Apify's open-source web crawling library. The platform operates a developer marketplace where programmers publish and monetize their automation tools. Apify manages infrastructure, usage tracking, and monthly payouts, creating a revenue stream for thousands of active contributors. Enterprise features include 99.95% uptime SLA, SOC2 Type II certification, and full GDPR and CCPA compliance. The platform integrates with workflow automation tools like Zapier, Make, and n8n, supports LangChain for AI applications, and provides an MCP server that allows AI assistants to dynamically discover and execute Actors.

Human Browser is a groundbreaking cloud-based platform tailored for AI agents, enabling them to engage with the open web through genuine Chrome sessions. Any agent capable of making HTTP requests can easily connect via A2A, while the integration of MCP support allows for editor-based agents to link, and a command-line interface streamlines terminal and CI workflows. Users can assign tasks in natural language, empowering agents to navigate websites, execute clicks, enter text, scroll through content, log into accounts, complete forms, gather information, and generate structured outputs, all while providing a live viewer URL for real-time session observation. The browser employs residential IP addresses, leverages engine-level Chromium fingerprinting, and replicates human-like behaviors in mouse movement, typing, and scrolling actions. Additionally, it incorporates sophisticated strategies to address challenges such as reCAPTCHA, hCaptcha, and Cloudflare Turnstile, ensuring seamless operation. Supporting profiles for both desktop and mobile environments, it offers extensive country selection options from a broad residential proxy network. Furthermore, it operates efficiently on diverse platforms, including bare Linux, Docker, and GitHub Actions, without the necessity for a display server, VNC, or desktop environment, making it an invaluable resource for developers. This adaptability positions it as a vital asset for automating web interactions across a wide range of applications, enhancing both efficiency and versatility in various use cases.

CloakBrowser gives automation teams a familiar Chromium environment for Playwright, Puppeteer, Selenium, and CDP workflows. It is designed for engineers who need dependable browser sessions for public-web data, QA, monitoring, scraping, and AI agents without rebuilding their existing automation stack. The browser runs locally or in infrastructure controlled by the customer, including Windows, macOS, Linux, Docker, and VPS environments. It supports Python, JavaScript, and .NET integrations, persistent browser profiles, reproducible identities, proxy-aware configuration, natural interaction timing, and persistent CDP server deployments. The wrapper is available under the MIT license; the custom Chromium build uses a separate proprietary license. CloakBrowser does not bundle proxies or CAPTCHA solving, so teams can keep their existing providers and operational controls.

Scrapely provides an all-encompassing web scraping and automation service, boasting features like unlimited CAPTCHA resolution, web crawling, and browser automation, all bundled into a single pricing plan that emphasizes concurrency. Rather than charging per request, Scrapely's pricing structure is based solely on the number of concurrent threads in use, allowing users to enjoy unrestricted CAPTCHA solving, crawls, and bandwidth without any surprise charges. Key features offered by Scrapely include: - CAPTCHA Solver API: Users can effortlessly supply a sitekey to receive a token, with support for both reCAPTCHA v2 and v3. - Smart Crawler API: By entering a URL, users can obtain a fully rendered DOM in real-time, enhancing their data extraction capabilities. - Browser Automation: Users can interact with dynamic web pages through REST API or Python SDK, performing actions such as clicking and scrolling. - BYOP (Bring Your Own Proxy): Users have the flexibility to integrate their choice of residential or datacenter proxies without incurring additional fees. - MCP Server: This feature allows direct connections to AI agents like Claude or Cursor, enabling fully autonomous scraping processes. Starting at a competitive rate of $12 per month for five threads, Scrapely also offers a free trial with one thread, providing potential users the opportunity to test the service. This adaptable pricing model empowers users to customize their experience to meet their unique scraping requirements effectively. Additionally, Scrapely's commitment to user satisfaction ensures that customers can scale their operations seamlessly as their needs evolve.

Gobii is a cloud-based solution that enables users to deploy fully managed browser automation agents via an API, streamlining processes like web research, form submissions, data extraction, and intricate workflows at scale. These agents act like continuous employees, navigating websites—regardless of whether they have APIs—handling dynamic content, running JavaScript, and automatically rotating proxies as required. Users can design these agents, assign them specific tasks or prompts, and receive structured JSON outputs or real-time previews of their browsing activities. Additionally, Gobii supports both synchronous and asynchronous task execution, offers secure management of sensitive data such as login credentials, and guarantees output validation through schema enforcement. The platform also integrates seamlessly with popular programming languages like Python and Node.js, making it accessible for various developers. With a strong focus on scalability, Gobii allows users to execute hundreds of tasks concurrently, while also incorporating enterprise-level security features, including audit logs, comprehensive proxy management, and oversight of tasks. Consequently, developers enjoy a more streamlined experience, simplifying the integration of complex automation into their existing workflows, which ultimately enhances productivity and efficiency.

Browser Cash is a groundbreaking platform tailored for browser automation, ideal for AI agents, web scraping, and collecting online intelligence. With just one API call, users can trigger a real browser session on an actual device, empowering their agents or automation scripts to browse, interact, log in, and extract data as if a real person were doing it. This solution successfully tackles hurdles like CAPTCHAs, bot detection, and complex spoofing methods. What sets Browser Cash apart is its ability to run browsers in the background, allowing tasks to be accomplished autonomously without human intervention. The platform delivers a fully managed experience, featuring millions of proxies, browsers, and tools specifically designed to circumvent CAPTCHAs and bot defenses, enabling seamless web navigation. Moreover, upon registration, every developer receives a free $25 credit, which does not require a credit card to begin. This generous offer not only encourages new users to dive into the platform's features but also fosters a risk-free environment for exploration and experimentation with its capabilities. As a result, developers can maximize their productivity while leveraging advanced browser automation technology.

StateFabric serves as a streamlined infrastructure layer tailored for AI agents that need more context than merely the chat history provides. When these agents engage with various tools and run lengthy sessions without resets, merely depending on past messages falls short; it’s crucial to monitor factors such as event occurrences, state modifications, tool applications, and the context pertinent for future model enhancements. To fulfill these requirements, StateFabric keeps an append-only event log during agent activities, allowing for the extraction of pertinent context from this information. Presently, it boasts an array of functionalities, such as reliable session management, event storage, timelines for user/model/tool events, the capacity to reconstruct session states from logged events, and a simplified model-facing context. It also features an intuitive dashboard that enables users to analyze sessions, scrutinize raw payloads, assess compaction artifacts, and observe usage trends. Moreover, StateFabric allows for integration with Google ADK via the package @statefabric/adk and supports direct implementation in Node/REST settings using @statefabric/client, enhancing its adaptability for tailored runtime environments. This flexibility not only boosts the efficiency of AI agents but also enhances their effectiveness in navigating intricate operational landscapes. Consequently, StateFabric stands out as a vital tool for improving the operational capacity of AI in diverse applications.

Ornold operates as an MCP server that enables AI-enhanced browser automation, granting AI agents extensive command over anti-detect browsers via an open protocol. This platform is tailored for extensive browser automation and encompasses features such as vision-based interactions, automatic CAPTCHA solving, simultaneous operations across multiple browsers, human-like behavior emulation, and recovery tools, all integrated into a single cohesive system. In contrast to conventional techniques that rely on fragile CSS selectors or XPath, Ornold utilizes a vision mode that captures screenshots and examines web pages in a way akin to human perception, accurately recognizing interactive elements with pixel-perfect coordinates and executing clicks using normalized coordinates, which significantly bolsters the automation's resilience to layout modifications. It connects with browser profiles through the Chrome DevTools Protocol and supports a variety of anti-detect browsers, including Dolphin Anty, Octo Browser, Linken Sphere, AdsPower, Multilogin, GoLogin, Incogniton, Vision, Undetectable, MoreLogin, Indigo, and any browser compatible with CDP. Additionally, Ornold's groundbreaking methodology establishes it as a flexible solution in automated web interactions, making it a vital resource for developers who prioritize efficiency and dependability in their automation endeavors. In this evolving landscape, Ornold continues to innovate, ensuring that it meets the dynamic needs of modern web automation.

VideoDB functions as a sophisticated backend solution for AI agents, enabling them to analyze, understand, and react to audio and video content in real time. It serves as a bridge between raw media streams and the reasoning abilities of agents, converting live streams into well-structured, searchable contextual data accompanied by actionable insights. Our integrated See->Understand->Act methodology eliminates the reliance on a fragmented assortment of tools like FFmpeg, vector databases, and transcription services by providing a unified, programmable media framework. The cutting-edge "Indexes-as-code" capability allows developers to extract insights from both spoken language and visual aspects with nearly instant response times. With support for Python and Node.js SDKs, VideoDB seamlessly connects with platforms such as Claude, Cursor, and Codex via the Model Context Protocol (MCP). Its design emphasizes streaming, ensuring that agents maintain a constant awareness of their surroundings rather than depending exclusively on static files. Whether utilized for creating an AI meeting assistant, improving camera intelligence, or streamlining automated media editing, VideoDB provides the crucial perception framework needed for a wide range of applications. Consequently, it greatly enhances the performance of AI agents, enabling them to work more efficiently and responsively within ever-changing environments. This transformative capability positions VideoDB as an essential tool for developers looking to harness the full potential of AI in multimedia applications.

Steel is an adaptable open-source browser API designed for managing a variety of cloud-based browsers. It streamlines the process of browser automation, catering to needs that range from large-scale scraping tasks to fully autonomous web agents, allowing users to start browser sessions on demand via simple API calls. With built-in CAPTCHA solving capabilities, Steel guarantees that automation processes run smoothly without interruptions. Its intuitive controls are designed to reduce the chances of being flagged as automated traffic. Typically, a session can be initiated in under one second if the client is within the same geographic area. Each session is flexible, capable of lasting anywhere from one minute to a full 24 hours. Users can effortlessly save and inject cookies and local storage, allowing them to resume their activities seamlessly. Furthermore, Steel facilitates the execution of Puppeteer, Playwright, or Selenium in the cloud with remarkable ease. The Session Viewer feature stands out by enabling users to monitor and troubleshoot both live and previously recorded sessions, greatly enhancing the overall user interface. This extensive toolkit not only makes Steel a crucial asset for developers but also empowers them to effectively leverage the capabilities of browser automation in a cloud setting. By combining efficiency with user convenience, Steel significantly enhances the automation experience.

Solid brings AI workflow automation to recurring, cross-system work while retaining control over access, spending, and approvals. As an operating system for always-on AI agents, Solid runs agent software, connects it to business systems, and allocates resources under team controls. It gives agents approved computers, accounts, phone numbers, system access, and customer-set budgets so work can continue toward a checked result after the chat closes. Teams set context, rules, permissions, finish criteria, and approval points. Solid works through approved APIs, code, and browser or desktop interfaces. It can build missing tools and, when authorized and available, provision compute, cloud resources, identities, credentials, and paid services. Managers can follow available activity, costs, logs, and exceptions while policies route sensitive decisions to people. Suitable work includes sales, CRM, customer support, reporting, engineering, and internal tools.

AI technology facilitates the automatic identification of numerous captcha variants, including reCAPTCHA, hCaptcha, FunCAPTCHA, AWS WAF, and traditional text-based captchas. This tool is freely available for personal use and proves effective across a wide array of websites. By utilizing sophisticated deep learning algorithms created by top-tier companies like Google, Meta, Microsoft, and NVIDIA, the system guarantees efficient captcha solving. Each time a captcha challenge is presented to a user, it is resolved through cloud processing, while our active learning system constantly enhances the AI's performance. As more users interact with our extension, the AI's effectiveness at bypassing captchas improves significantly. Additionally, when new captcha designs are introduced, our AI swiftly adjusts in real-time to tackle them. The browser extension and Token API operate undetected on all platforms, granting users increased quotas, limitless usage, and 24/7 customer support. Importantly, all proceeds generated from the service are reinvested into the advancement of AI research and the establishment of AI-ASIC data centers worldwide. Moreover, our solution seamlessly integrates with various browser automation tools, such as Selenium, Puppeteer, and Playwright, which not only simplifies the installation process with the browser extension but also enhances the overall user experience. This innovative approach ensures that users can navigate captcha challenges with remarkable efficiency, ultimately saving them valuable time.

AgentComputer represents a cutting-edge cloud infrastructure solution specifically designed for the operation of AI agents within secure and fully functional virtual environments. The platform provides "cloud computers" that serve as lightweight Ubuntu-based sandboxes, capable of being established in under a second, thereby allowing developers to quickly create, access, and manage their environments through a command-line interface. With persistent storage included, any applications, files, or settings installed remain intact even after system reboots, supporting ongoing and smooth workflows. The architecture is based on an agent-first approach, enabling AI agents to execute tasks directly within these spaces using SSH, which minimizes the gap between command issuance and execution. Additionally, the platform includes a built-in AI harness that supports a variety of agents, such as Claude, Codex, and other coding aides, facilitating efficient collaborative multi-agent activities in the same space. This integration not only boosts productivity but also simplifies the development workflow for AI-focused initiatives, making it an essential tool for modern developers. Ultimately, AgentComputer stands out by offering a versatile and dynamic environment that adapts to the needs of various projects and users alike.

Creating a browsing profile in VMLogin results in a completely unique virtual browsing environment, ensuring that cookies, local storage, and other cached data are kept entirely distinct and do not overlap between different profiles. The anti-detection features of VMLogin enable users to replace multiple physical machines with virtual browser profiles, which allows for the simultaneous management and login of numerous accounts from a single, unified interface. With robust measures for security isolation, authentic fingerprint protection, and protections against data leaks, this tool is particularly beneficial for eCommerce, social media marketing, and affiliate marketing efforts. Furthermore, VMLogin facilitates the automation of repetitive tasks, allowing for smooth integration via the Selenium web driver. Users also have the option to utilize third-party visual automation platforms like Browser Automation Studio to further boost their automation potential. The combination of these features positions VMLogin as an invaluable tool for those seeking effective account management and improved online safety, making it a must-have for digital marketers and online entrepreneurs alike.

Airtop is a groundbreaking AI-driven browser automation platform that simplifies web interactions for automation tasks, AI agents, and web scraping activities. By utilizing natural language prompts, it allows users to scrape and manipulate any website with ease, eliminating the need to deal with complex scripts that often require ongoing adjustments and maintenance. With Airtop, agents can seamlessly access various sites and navigate the internet without restrictions, even when faced with OAuth, two-factor authentication (2FA), or CAPTCHA challenges during login. The platform manages the necessary cloud browser infrastructure, allowing users to focus on their core business goals without the complications of technical issues. Airtop offers essential web browsing features such as copy/paste, file uploads, downloads, pop-ups, and audio capabilities, enabling agents to explore sites protected by logins and those using a virtualized Document Object Model (DOM), like Google Docs. Furthermore, the inclusion of a live view feature allows for human intervention to tackle complex problems, significantly improving the user experience and the effectiveness of the automation process. This rich set of capabilities makes Airtop an invaluable resource for users ranging from beginners to seasoned professionals, ensuring that everyone can benefit from its robust functionalities. Additionally, its user-friendly design and powerful automation tools set a new standard in the industry, making web automation more accessible than ever before.

Sprites by Fly.io is a platform for creating stateful sandbox environments that run arbitrary code inside hardware-isolated Linux computers. A Sprite is designed to answer the question of where to safely run a blob of code, whether that code comes from an AI agent, a developer workflow, a user-uploaded binary, or an application process. Unlike short-lived stateless sandboxes, Sprites are persistent environments that can keep files, state, and execution context across runs. The platform supports checkpoint and restore so workloads can pause, resume, and recover without rebuilding everything from scratch. Sprites use a fast directly attached NVMe filesystem for active work and continuously sync that filesystem to durable external object storage. This storage model gives developers a normal Linux disk experience while supporting durable persistence and automatic growth. Developers can install the Sprites CLI, log in, create a Sprite, run commands, and connect directly to a Sprite console. The platform also provides a REST API and language support for JavaScript, Go, Elixir, and Python. Sprites include capabilities around persistence, checkpoints, Sprite URLs, sandbox VMs, and network policy for controlling how environments run and connect. Pricing is based on actual usage across CPU hours, memory hours, hot storage, and cold storage, making it practical for bursty workloads like coding agents or lightweight web apps. By combining hardware isolation, Linux compatibility, stateful persistence, checkpointing, durable storage, APIs, and usage-based billing, Sprites gives developers a flexible execution layer for AI agents, sandboxed code, and persistent application environments.

Headless browsers that operate consistently across all environments are now at your fingertips. You can manage a fleet of stealth browsers to ensure dependable automation processes. Concentrate on your coding efforts with autoscaled browser instances and top-tier stealth functionalities. Deploy numerous browsers utilizing robust resources for extended sessions without interruption. With real-time access, the ability to replay actions, and comprehensive tools including logs and network insights, you can engage with headless browsers as seamlessly as you would with traditional ones. Construct and execute undetectable automated systems featuring customizable fingerprinting and automated captcha resolution. Browserbase stands out as the premier solution for developing AI agents capable of navigating the most intricate web pages without detection. With minimal coding, your AI agent can interact with any website discreetly and efficiently at scale. Furthermore, you can utilize the live session feature whenever necessary to involve human assistance for more complex tasks. This infrastructure provided by Browserbase serves not only web scraping and automation needs but also supports various applications related to LLMs, making it an invaluable resource for developers. As technology evolves, the potential for Browserbase to adapt and enhance automation practices will only grow.

Daytona is a scalable development platform that simplifies how developers and AI agents build and test software in the cloud. It allows users to spin up isolated sandboxes on demand, each running in a secure microVM with integrated networking and persistent data. The Daytona SDKs for Python and TypeScript enable seamless automation. Developers can run commands, manage files, or deploy temporary environments directly through code. Organizations use Daytona to unify their workflows, replacing local environments with fast, reliable cloud sandboxes that integrate with existing CI/CD pipelines. It’s optimized for automation-heavy projects, large teams, and agent-driven development.

Browser Use is an innovative open-source library in Python that enables AI agents to seamlessly engage with web browsers. By integrating advanced AI functionalities with robust browser automation, it allows agents to perform a variety of tasks, including submitting job applications, navigating websites, collecting information, and replying to messages on platforms like WhatsApp. This library supports multiple large language models, such as GPT-4, Claude 3, and Llama 2, facilitating the execution of complex web interactions through a user-friendly interface. Among its impressive features are the ability to recognize visuals while extracting HTML structures for comprehensive web interaction, automated handling of numerous tabs to simplify intricate processes, and element tracking that utilizes XPaths extracted from clicked elements to replicate specific actions executed by the language models. Users are also able to add personalized functionalities, such as data storage in files, executing database queries, sending notifications, or requesting human input. In addition, Browser Use comes with intelligent error handling and self-recovery features, which ensure that automated workflows stay effective and resilient against disruptions. Overall, this combination of capabilities positions Browser Use as a formidable resource for developers aiming to enhance their web automation projects with AI-driven features, ultimately paving the way for more efficient digital interactions.

Dead Simple Email provides an innovative email API that enables the creation of authentic email inboxes specifically designed for AI agents and automated processes. Users can effortlessly establish an inbox and interact using legitimate email addresses through either REST or standard IMAP/SMTP protocols with a single API call, and they receive responses formatted as structured webhooks. Before delivery, incoming messages are screened for prompt injection, ensuring security and reliability. Additionally, users can monitor all communications for each agent through an accessible dashboard that tracks the entire history of interactions. The service kicks off with a complimentary plan allowing for 5 inboxes, and users have the option to upgrade to 100 inboxes for a monthly fee of $29, emphasizing a pricing model based on the number of inboxes instead of user count. This versatility positions it as an attractive solution for businesses seeking to integrate email capabilities into their automated workflows efficiently. Moreover, the user-friendly interface and comprehensive features make it suitable for a variety of applications across different industries.

TinyFish represents a groundbreaking AI platform designed for enterprises, specializing in the creation and management of "enterprise web agents" that can perform complex workflows across the internet on a large scale. Instead of relying solely on APIs or manual processes, these agents mimic human behavior by navigating various websites, gathering essential data, and executing multi-step tasks across multiple platforms at once. This innovative method effectively tackles the rising challenges of today's online ecosystem, where critical information is often dispersed, behind secure logins, or constantly changing, rendering conventional automation techniques less effective. The advanced infrastructure supporting TinyFish's agents enables them to learn, adapt, and scale effectively, ensuring they remain accurate and dependable despite the dynamic nature of web environments. The platform is designed to focus on achieving specific goals rather than just completing disconnected tasks, empowering agents to manage extensive processes such as pricing intelligence, inventory oversight, or market analysis from start to finish. Consequently, TinyFish not only simplifies operational workflows but also significantly boosts the ability of businesses to derive valuable insights from various data sources, ultimately enhancing decision-making capabilities. Furthermore, the adaptability of these agents allows organizations to stay competitive and responsive to ever-changing market conditions.

actlike.me is a powerful AI-powered platform that automates repetitive web browsing tasks, saving users significant time and effort by performing actions across virtually any website. Users simply define their desired workflow—what websites to visit, which data to gather, and which tasks to complete—and the platform executes these instructions autonomously. Automation can be scheduled to run once at a future time or repeatedly according to user preferences, with email notifications upon completion. The tool supports exporting data in multiple formats including text, CSV, and JSON, allowing seamless integration with other workflows and data systems. A standout feature is the ability to pause automation and take manual control for tasks like entering authentication codes, ensuring flexibility and security. actlike.me offers several pricing plans, beginning with a free tier that includes 50 monthly credits and access to standard features. Higher-tier plans unlock advanced models, API integrations, dedicated support, and enhanced browsing security measures. Security is a key focus, with encrypted credential management and compliance with industry best practices. The platform is suitable for both individuals and growing teams, offering scalability as automation needs increase. actlike.me is designed for users with no coding skills, making sophisticated web automation accessible to everyone looking to streamline online workflows efficiently.

Archestra is an open-source, self-hosted AI platform that facilitates the management and deployment of agents across an organization. It boasts agentic chat capabilities designed for users without a technical background, in addition to various applications, skills, collaborative initiatives, a server-side agent runtime, MCP orchestration, permission-aware RAG, LLM and MCP proxies, security safeguards, and extensive observability, all seamlessly integrated into one platform. Through single sign-on (SSO) authentication, users can engage with tools while maintaining their unique identities rather than relying on shared service accounts. The platform organizes projects to bring together chats, files, scheduled tasks, and instructions, while agents function within isolated containers, activated by triggers such as schedules, emails, or webhooks. MCP servers are deployed within the organization's Kubernetes environment, adhering to security-validated promotion protocols that implement separate credentials and network rules. Additionally, the knowledge bases can connect with Confluence, Jira, drives, and internal documents, preserving source-system ACLs to ensure users only access information they are authorized to view. Overall, this extensive array of features establishes Archestra as an essential asset for organizations aiming to enhance their AI deployment efficiency and governance. By offering a user-friendly experience coupled with robust security measures, Archestra empowers teams to innovate while maintaining stringent access controls.

InstaVM presents a powerful cloud and production sandbox solution tailored for AI agents, offering immediate access to essential computing resources such as runtime, storage, networking, policy management, and secrets. Distinguishing itself from conventional sandboxes, it employs hardware-isolated virtual machines rather than containers, thus providing secure environments equipped with complete Linux filesystems, networking capabilities, package management, RESTful API access, and the ability to sustain persistent states. The platform's snapshot feature allows users to create duplicates of any sandbox and revert to earlier configurations, while its persistent volumes guarantee that data remains intact across different executions. Furthermore, egress control empowers teams to dictate which external connections can be established, complemented by features like secrets injection and Vault to protect sensitive data from potential vulnerabilities. Additionally, the ability to deploy public URLs renders any port accessible on the public internet, augmenting its versatility. Designed with various agent patterns in mind, such as code interpreters, deployment agents, deep research agents, AI evaluations, reinforcement learning applications, and vibe coding applications, it serves as an all-encompassing tool for developers. With its groundbreaking architecture and wide-ranging features, InstaVM establishes itself as a premier solution for projects driven by artificial intelligence, enabling seamless integration and operation across diverse applications. As the landscape of AI development evolves, InstaVM positions itself as an essential resource for teams looking to leverage cutting-edge technology effectively.

Molted acts as a specialized managed operating environment crafted for autonomous AI agents, allowing teams to seamlessly deploy, host, monitor, recover, and scale agents powered by OpenClaw without the necessity of developing their own cloud infrastructure, DevOps, integration, or recovery systems. Equipped with features such as agent-optimized runtimes with persistent workspaces, browser automation, more than 1,000 application integrations, dedicated communication tools for each agent, extensive monitoring, automated recovery options, and streamlined lifecycle management, Molted enables agents to leverage various resources, navigate websites without APIs, and engage through email, voice, or SMS, thereby guaranteeing their continuous operational functionality. Aimed at AI agencies, SaaS developers, OpenClaw consultants, and organizations overseeing fleets of agents for both customer-facing and internal tasks, Molted also provides strong support for managing numerous agents, version-controlled filesystems, restore points, REST API management, and deployment alternatives in cloud, on-premise, or sovereign environments. What sets Molted apart from typical hosting services is its role as the foundational run layer specifically designed for production-level AI agents, which ensures peak performance and dependability across a range of applications. By delivering these tailored solutions, it not only streamlines the operational processes of teams utilizing AI technologies but also facilitates a more agile development environment, enabling quicker iterations and improved responsiveness to changing demands.

BrowserQL is a dedicated scraping language and browser automation tool crafted to adeptly navigate bot detection measures while minimizing the evidence of automated actions. It possesses built-in anti-detection features that operate without the need for user configuration, allowing users to bypass services like Cloudflare and Datadome effortlessly, without relying on extra plugins or setups. Furthermore, BrowserQL efficiently addresses prevalent CAPTCHA challenges, including those found within iframes or shadow DOMs, by employing methods such as auto-humanized clicking, scrolling, and typing behaviors, alongside concealed debugging techniques and automatic fingerprint circumvention, all enhanced by the integration of residential proxies for a more genuine browsing experience. Unlike conventional DIY approaches that use Playwright and necessitate stealth plugins along with ongoing manual interventions for simulating mouse or keyboard actions, BrowserQL streamlines the entire process, significantly lowering the likelihood of detection by automation libraries. Consequently, users can concentrate on their scraping endeavors without the persistent anxiety of being flagged or obstructed by advanced bot detection systems. Ultimately, BrowserQL represents a crucial advancement for those seeking reliable and efficient web scraping capabilities in an increasingly complex digital landscape.

Archonum is a browser automation platform built for teams that need scripts, AI agents, and data pipelines to run through genuine mobile browsers on real consumer networks. The platform uses a network of 250,000+ Android smartphone nodes across 175+ countries, with Chrome running on the same phone that provides the exit IP. This means each request carries aligned signals from the device itself, including TLS, GPU, canvas, accelerometer, gyroscope, battery, CPU architecture, touch events, language, timezone, and connection context. Archonum is designed as an alternative to cloud browser automation systems that run Chrome in a data center and route traffic through a residential proxy. By keeping the browser, IP, and fingerprint on one device, Archonum reduces the gaps that bot detection systems can identify. Developers can use plain Playwright, Puppeteer, Python, REST, curl, and HTTP API workflows without rewriting their existing scripts. Country locking, rotating sessions, and sticky sessions can be controlled through the gateway configuration. Fleet execution allows one automation script to be replayed across multiple real phone sessions in parallel, each with its own device identity and country. Archonum also includes an MCP server that gives agents hosted tools for rendered page reads, stateful browsing sessions, login persistence, cart or booking flows, and side-by-side country comparisons. The platform is designed for AI agents, scraping pipelines, competitive price intelligence, social data, mobile-first platforms, and workflows where block rates create measurable cost. By combining real Android hardware, consumer IPs, mobile Chrome, browser automation compatibility, MCP tools, geo comparison, sticky sessions, and parallel fleet execution, Archonum helps teams reach web targets with more authentic mobile signals.

Tabstack is a managed web API platform that lets developers extract, research, generate, and automate across the live web without building their own scraping stack. The platform is designed for teams that want to pass in a URL, schema, question, or task and get back structured data, clean Markdown, cited answers, or completed browser actions. Its /extract/json endpoint returns schema-matched JSON from web pages, making it useful for product details, job listings, pricing pages, marketplaces, directories, and other structured web data. Its /extract/markdown endpoint converts pages into clean Markdown that can be used for RAG pipelines, documentation ingestion, product page indexing, and knowledge base workflows. The /generate/json capability supports reasoned structured output from user instructions, not just direct field extraction. The /research endpoint runs a live-web research agent that selects sources, reads pages, synthesizes findings, and returns cited answers with claim-level support. The /automate endpoint lets users describe a browser task in natural language and have Tabstack navigate, click, fill forms, and complete flows on websites the user does not control. Tabstack supports interactive mode for human input, JavaScript-heavy pages, streaming results over SSE, TypeScript and Python SDKs, MCP connectivity, and CLI access. Its Pilo browser engine is designed to reduce token usage compared with screenshot-heavy approaches while still enabling browser-based automation. Common use cases include competitive intelligence dashboards, lead enrichment pipelines, research agents, booking and checkout agents, back-office workflow automation, and knowledge base ingestion. With privacy-focused handling, no retained corpus, no data sold, no model training on user calls, and plans that include free trial credits, pay-as-you-go usage, team pricing, and enterprise options, Tabstack helps developers give products and AI agents reliable access to the live web.

Composio is a powerful platform that transforms AI agents from simple conversational tools into fully functional systems capable of executing complex workflows. It provides seamless integration with over 1,000 applications, including popular tools like Slack, Gmail, GitHub, Notion, and more. The platform handles authentication automatically, managing OAuth flows, API keys, and permissions without requiring manual setup. Composio enables agents to dynamically select and execute the right tools based on user intent, improving efficiency and accuracy. It also offers secure, sandboxed environments where workflows can run safely, ensuring isolation and reliability. Developers can build multi-step workflows, automate processes, and execute tasks in parallel for greater productivity. The platform supports context-aware sessions, allowing agents to retain state and continue tasks without restarting. Composio is model-agnostic, giving developers the freedom to switch between AI models without disrupting their workflows. Its infrastructure is designed for scalability, supporting enterprise-grade use cases and high-volume operations. With built-in security features and compliance standards, it ensures safe handling of data and operations. By simplifying integrations and execution, Composio reduces development overhead and accelerates deployment. Ultimately, Composio enables developers to build intelligent, action-oriented AI agents that can operate across the entire software ecosystem.