Alternatives to Scalebrowser

Gaffa is a REST API built for web scraping and browser automation, allowing developers to run real, full browsers at scale with a single API call. It removes the difficulty of managing headless browser frameworks, rotating proxies, CAPTCHA solving, and scaling infrastructure, all of which are handled automatically. JavaScript-heavy and dynamic websites render exactly as they would for a human visitor by default. Beyond standard scraping, Gaffa supports AI-driven structured data extraction (extract data into a defined schema without writing CSS selectors), screenshot and PDF capture, infinite-scroll and form-filling automation, and clean Markdown conversion for feeding webpages directly into LLM and RAG pipelines. A rotating residential proxy network keeps access reliable across regions, and a credit-based pricing model means teams pay only for the browser time and bandwidth they actually use. Gaffa is designed for AI engineers, data teams, and developers who want production-grade web data extraction without having to build and maintain their own infrastructure.

Apify provides the infrastructure developers need to build, deploy, and monetize web automation tools. The platform centers on Apify Store, a marketplace featuring 10,000+ community-built Actors. These are serverless programs that scrape websites, automate browser tasks, and power AI agents. Developers create Actors using JavaScript, Python, or Crawlee (Apify's open-source crawling library), then publish them to the Store. When other users run your Actor, you earn money. Apify manages the infrastructure, handles payments, and processes monthly payouts to thousands of active developers. Apify Store offers ready-to-use solutions for common use cases: extracting data from Amazon, Google Maps, and social platforms; monitoring prices; generating leads; and much more. Under the hood, Actors automatically manage proxy rotation, CAPTCHA solving, JavaScript-heavy pages, and headless browser orchestration. The platform scales on demand with 99.95% uptime and maintains SOC2, GDPR, and CCPA compliance. For workflow automation, Apify connects to Zapier, Make, n8n, and LangChain. The platform also offers an MCP server, enabling AI assistants like Claude to discover and invoke Actors programmatically.

Human Browser is an innovative cloud-based solution designed specifically for AI agents, equipping them with the capability to interact with the open web via authentic Chrome sessions. Any agent that is capable of making HTTP requests can seamlessly integrate with it through A2A, while the inclusion of MCP support allows editor-based agents to connect, and a command-line interface facilitates terminal and CI workflows. These agents can be given tasks in natural language, enabling them to navigate websites, perform clicks, input text, scroll through pages, log into accounts, fill out forms, gather data, and produce structured outputs, complete with a live viewer URL that allows humans to observe the session in real time. The browser employs residential IP addresses, utilizes engine-level Chromium fingerprinting, and mimics human-like behaviors in mouse movement, typing, and scrolling. It also features advanced mechanisms to tackle challenges such as reCAPTCHA, hCaptcha, and Cloudflare Turnstile. Supporting both desktop and mobile browser profiles, it provides options for country selection from an extensive residential proxy network. Moreover, it can operate on various platforms including bare Linux, Docker, and GitHub Actions, and doesn't require a display server, VNC, or desktop environment to function effectively, making it a versatile choice for developers. This flexibility makes it an essential tool for automating web interactions in diverse scenarios.

CloakBrowser is a custom Chromium distribution for developers building browser automation with Playwright, Puppeteer, Selenium, or CDP. Instead of relying only on runtime JavaScript patches, it changes browser behavior at the Chromium source level while preserving familiar automation APIs. Teams can adapt existing Python, JavaScript, and .NET workflows with minimal code changes and run sessions on Windows, macOS, Linux, Docker, or their own VPS infrastructure. Features include persistent profiles, reproducible browser identities, proxy-aware locale and timezone configuration, human-like input timing, and CDP server mode. CloakBrowser is intended for legitimate public-web data collection, QA, monitoring, scraping, and AI-agent workflows. The developer wrapper is MIT-licensed, while current custom Chromium binaries are distributed separately under a proprietary license. Users provide their own proxies and CAPTCHA services.

Scrapely serves as a comprehensive solution for web scraping and automation, offering features such as infinite CAPTCHA resolution, web crawling, and browser automation all included in one concurrency-focused pricing plan. Instead of charging based on each request, Scrapely's model only bills for the number of concurrent threads being utilized, ensuring users have access to unlimited CAPTCHA solving, crawls, and bandwidth without unexpected fees. Noteworthy attributes include: - CAPTCHA Solver API: Simply provide a sitekey to obtain a token; compatibility with reCAPTCHA v2/v3 is included. - Smart Crawler API: Input a URL and receive the fully rendered DOM in real-time. - Browser Automation: Engage with dynamic web pages through actions like clicking and scrolling via a REST API or Python SDK. - BYOP (Bring Your Own Proxy): Seamlessly integrate your preferred residential or datacenter proxies with no added markup. - MCP Server: Directly link to AI agents such as Claude or Cursor for fully autonomous scraping capabilities. Pricing starts at an affordable $12 per month for five threads, and users can take advantage of a free trial with one thread to explore the service. This flexible approach allows users to tailor their usage according to their specific scraping needs.

Gobii is a cloud-based service that allows users to deploy fully managed browser automation agents through an API, facilitating the automation of web research, form submissions, data extraction, and complex workflows on a large scale. These agents function like perpetual employees, capable of navigating websites—even those without APIs—managing dynamic content, executing JavaScript, and automatically rotating proxies when necessary. Users have the ability to create these agents, assign them specific prompts or tasks, and obtain structured JSON outputs or real-time previews of the agents' browser activities. Gobii also accommodates both synchronous and asynchronous task execution, offers secret management for sensitive information like login credentials, and ensures output validation through schema enforcement. Furthermore, it integrates with widely used programming languages such as Python and Node.js for easy implementation. The platform places a strong emphasis on scalability, allowing for the execution of hundreds of tasks simultaneously, while also providing enterprise-level security features like audit logs, proxy management, and comprehensive task oversight. As a result, developers benefit from a streamlined experience that makes it easier to integrate complex automation into their workflows.

Browser Cash serves as an innovative platform for browser automation, designed specifically for AI agents, web scraping, and gathering internet intelligence. By making a single API request, you can initiate a genuine browser session on an actual device, allowing your agents or automation scripts to navigate, interact, log in, and gather information just like a human user would. This service effectively eliminates challenges such as CAPTCHAs, antibot detection, and the need for complex spoofing techniques. The unique feature of Browser Cash is that it operates browsers in the background, enabling the completion of tasks independently without requiring any human oversight. This service offers a fully managed experience, incorporating millions of proxies, browsers, and tools to bypass CAPTCHAs and antibot measures, which allows users to surf the web with ease. Additionally, every developer who registers for the service receives a complimentary $25 credit, with no credit card information needed to get started. This welcoming offer encourages new users to explore the capabilities of the platform without any initial financial commitment.

StateFabric is a compact infrastructure layer designed for AI agents that require additional context beyond just the chat history. When an agent begins to utilize tools and operates over extended sessions without restarting, relying solely on retained messages is insufficient; it becomes essential to track the following aspects: what events transpired, what changes occurred in the state, which tools were utilized, and what context should be factored into the upcoming model iteration. To address these needs, StateFabric maintains an append-only event log throughout agent operations, enabling the extraction of relevant context from this data. Currently, it offers a range of features, including durable session management and event storage, user/model/tool event timelines, the ability to reconstruct session states from recorded events, and a streamlined model-facing context. Additionally, it includes a user-friendly dashboard for analyzing sessions, inspecting raw payloads, reviewing compaction artifacts, and monitoring usage patterns. Furthermore, StateFabric supports integration with Google ADK through the package @statefabric/adk and facilitates direct usage in Node/REST environments via @statefabric/client, making it adaptable for custom runtimes. This versatility ensures that AI agents can operate more efficiently and effectively in complex environments.

AI can reason, but real work often stops at a login, unsupported interface, paid service, missing software, or decision that needs a person. Solid gives that missing layer a name: the operating system for always-on AI agents. Its persistent AI agent runtime keeps approved context and work moving after the chat closes. Subject to permissions and system policies, a Solid-powered agent can use APIs and MCP connections, operate browsers, desktops, phones, and software interfaces, or write and test code to create the missing path. Solid can coordinate models and tools, recover where the workflow permits, check completion, and route sensitive or out-of-policy actions through human-in-the-loop approvals. Supported computers, approved identities and accounts, credentials, phone numbers, cloud resources, and paid services remain subject to customer permissions, budgets, policies, and availability. Developers can use Solid's API to place an agent inside their own product.

VideoDB serves as an advanced backend solution for AI agents, empowering them to perceive, interpret, and respond to audio and video content in real time. It acts as an intermediary between unprocessed media streams and the reasoning capabilities of agents, transforming ongoing streams into organized, searchable contextual data complete with actionable evidence. Our comprehensive See->Understand->Act process eliminates the need for a disjointed array of tools such as FFmpeg, vector databases, and transcription services by offering a single, programmable media framework. With the innovative "Indexes-as-code" feature, developers can derive insights from spoken language and visual elements with almost instantaneous response times. Supporting both Python and Node.js SDKs, VideoDB integrates smoothly with platforms like Claude, Cursor, and Codex through the Model Context Protocol (MCP). Its architecture prioritizes streaming, ensuring that your agents maintain continuous awareness of their environment instead of relying solely on fixed files. From creating an AI meeting assistant to enhancing camera intelligence or facilitating automated media editing, VideoDB delivers the essential perception framework required for a variety of applications. In doing so, it significantly enhances the capabilities of AI agents, allowing them to operate more effectively and responsively in dynamic settings.

Steel is a versatile open-source browser API that enables the management of numerous cloud-based browsers. It simplifies browser automation for tasks ranging from extensive scraping operations to completely autonomous web agents, allowing users to initiate browser sessions on demand through straightforward API requests. With integrated CAPTCHA solving capabilities, Steel ensures uninterrupted automation processes. Its user-friendly controls help minimize the risk of being flagged as a bot. Typically, a session can commence in under one second if the client is located in the same region. Each session has the flexibility to run for as little as one minute or extend up to 24 hours. Users can easily save and inject cookies and local storage to seamlessly continue from where they left off. Additionally, Steel supports running Puppeteer, Playwright, or Selenium in the cloud with ease. The Session Viewer feature provides the ability to observe and troubleshoot both live and recorded sessions, enhancing the overall user experience. This comprehensive toolset makes it a valuable resource for developers looking to harness the power of browser automation in a cloud environment.

Ornold serves as an MCP server that facilitates AI-driven browser automation, allowing AI agents to gain comprehensive control over anti-detect browsers via an open protocol. This platform is specifically designed for large-scale browser automation and integrates features like vision-centric interactions, automatic CAPTCHA resolution, simultaneous multi-browser operations, human-like behavior, and tools for recovery, all within a unified system. Unlike traditional methods that depend on fragile CSS selectors or XPath, Ornold employs a vision mode that takes screenshots and analyzes web pages similarly to a human, accurately identifying interactive elements with pixel-precise coordinates and executing clicks based on normalized coordinates, thereby enhancing the automation's robustness amid layout changes. It interfaces with browser profiles using the Chrome DevTools Protocol and is compatible with various anti-detect browsers, including Dolphin Anty, Octo Browser, Linken Sphere, AdsPower, Multilogin, GoLogin, Incogniton, Vision, Undetectable, MoreLogin, Indigo, and any browser that supports CDP. Furthermore, Ornold's innovative approach positions it as a versatile solution in the realm of automated web interactions, making it an essential tool for developers seeking efficiency and reliability in their automation tasks.

AI technology enables the automatic recognition of various captcha types, including reCAPTCHA, hCaptcha, FunCAPTCHA, AWS WAF, and text-based captchas. This solution is available for free personal use and is effective across all websites. By leveraging advanced deep learning algorithms developed by leading companies such as Google, Meta, Microsoft, and NVIDIA, the system ensures efficient captcha resolution. Each time a user faces a captcha challenge, it is resolved in the cloud, while our active learning pipeline continuously refines the AI's capabilities. Consequently, as more users engage with our extension, the AI becomes increasingly proficient at overcoming captchas. Furthermore, when new captcha formats emerge, our AI adapts in real-time to address them. The browser extension and Token API remain undetectable across all sites, providing users with enhanced quotas, unrestricted usage, and round-the-clock customer support. Notably, all generated revenue is dedicated to advancing AI research and establishing AI-ASIC data centers globally. Additionally, our solution is compatible with various browser automation tools, such as Selenium, Puppeteer, and Playwright, ensuring a rapid setup process with the browser extension while streamlining users' experiences.

AgentComputer is an innovative cloud infrastructure platform tailored for operating AI agents in secure and fully operational virtual spaces. It offers "cloud computers" as lightweight Ubuntu-based sandboxes that can be set up in less than a second, enabling developers to swiftly create, access, and control their environments through a command-line interface. These virtual spaces come with persistent storage, ensuring that any installed applications, files, or settings are preserved even after restarts, which facilitates ongoing and consistent workflows. The platform is founded on an agent-first design, allowing AI agents to perform tasks directly within these spaces via SSH, which reduces the barriers between issuing commands and executing them. Furthermore, it features a built-in AI harness that accommodates various agents, including Claude, Codex, and additional coding assistants, thus promoting seamless collaborative multi-agent operations within the same environment. This integration not only enhances productivity but also streamlines the development process for AI-driven projects.

Establishing a browsing profile within VMLogin generates a fully distinct virtual browsing space, ensuring that cookies, local storage, and other cached files remain entirely separate and do not cross over between profiles. VMLogin's anti-detection capabilities allow users to substitute multiple physical computers with virtual browser profiles, enabling simultaneous login and management of various accounts from one centralized location. With a guarantee of complete security isolation, authentic fingerprint protection, and safeguards against information leaks, this tool is ideal for eCommerce, social media marketing, and affiliate advertising. Additionally, VMLogin offers the ability to automate any repetitive tasks, allowing for seamless integration through the Selenium web driver. Alternatively, users can opt for third-party visual automation tools like Browser Automation Studio to enhance their automation capabilities further. This versatility makes VMLogin an essential resource for those needing efficient account management and enhanced online security.

Airtop is an advanced browser automation solution powered by AI, designed to facilitate smooth web interactions for AI agents, automation processes, and web scraping activities. By using natural language prompts, users can easily scrape data and control any website, eliminating the need for complicated scripts that often require ongoing maintenance. With Airtop, agents can effortlessly log into any platform and navigate the internet freely, even when faced with challenges like OAuth, two-factor authentication (2FA), and CAPTCHA verification. The service manages the cloud browser infrastructure, allowing users to concentrate on their primary business functions without the distraction of technical issues. Airtop includes vital web browsing functionalities such as copy/paste, file uploads, and downloads, as well as the ability to handle pop-ups and audio, enabling effective interaction with sites that require logins and those that utilize a virtualized Document Object Model (DOM), like Google Docs. Additionally, the platform features a live view option that permits human oversight to help complete intricate tasks, thereby increasing its utility and effectiveness for users.

Sprites by Fly.io is a stateful sandbox environment platform designed to run arbitrary code in isolated Linux computers. Each Sprite is a hardware-isolated execution environment that can persist across runs, making it useful for AI agents, uploaded binaries, developer tools, and application workloads. The platform is built around checkpoint and restore, allowing workloads to pause, resume, and keep state instead of rebuilding the environment repeatedly. Sprites provide a fast NVMe filesystem that syncs continuously to durable external object storage. This tiered storage approach gives users compatibility with normal Linux filesystem behavior while only charging for the data they actually use. Developers can start with the Sprites CLI by logging in, creating a Sprite, executing commands, and connecting to the console. The platform also supports REST API access and SDKs for JavaScript, Go, Elixir, and Python. Pricing is usage-based across CPU time, memory time, hot storage, and cold storage. By combining sandbox VMs, persistent filesystems, checkpointing, APIs, network policy, and pay-as-you-go pricing, Sprites gives developers a practical runtime for AI agents and untrusted code execution.

Headless browsers that operate seamlessly in any environment every time can significantly enhance browser automation. By managing fleets of stealth browsers, you can ensure consistent and dependable performance. Concentrate on your coding efforts with automatically scaled browser instances that come equipped with top-tier stealth capabilities. Execute hundreds of browser sessions that are powered by robust resources for uninterrupted, long-term operations. Utilize headless browsers similarly to standard browsers, gaining real-time access, playback options, and comprehensive tools that include logging and network features. Develop and implement undetectable automation solutions that utilize customizable fingerprinting, automatic captcha resolution, and proxy support. Browserbase stands out as a platform for creating cutting-edge AI agents that can navigate intricate web pages without detection. With just a few lines of code, empower your AI agents to engage with any web page unobtrusively and efficiently at scale. Additionally, you can utilize the live session view feature at any moment, allowing human intervention to assist in tackling complex tasks. Ultimately, Browserbase's robust infrastructure enables you to elevate your web scraping, automation, and LLM applications to new heights by ensuring efficiency and effectiveness.

Browser Use is an open-source Python library designed to allow AI agents to interact fluidly with web browsers. By merging sophisticated AI functionalities with effective browser automation, it empowers agents to execute various tasks such as job applications, browsing websites, gathering data, and responding to messages on services like WhatsApp. This library is compatible with several large language models, including GPT-4, Claude 3, and Llama 2, making it easier to carry out intricate web activities through an intuitive interface. Among its notable features are visual recognition paired with HTML structure extraction for thorough web engagement, automated management of multiple tabs to streamline complex processes, and element tracking that leverages the extraction of XPaths from clicked elements to replicate specific actions performed by LLMs. Users can also implement custom functionalities, such as saving data to files, executing database queries, sending notifications, or incorporating human input. Furthermore, Browser Use is equipped with smart error handling and automatic recovery mechanisms, ensuring that automation workflows remain resilient and efficient. This combination of features makes Browser Use a powerful tool for developers looking to enhance web automation with AI capabilities.

Daytona is a modern cloud-based runtime designed to let developers and AI systems launch secure, isolated workspaces for any project in seconds. Each environment runs inside a lightweight microVM that includes full Linux support, networking, and persistent storage. Through Daytona’s Python and TypeScript SDKs, users can automate code execution, file uploads, and environment lifecycle management directly from their apps. By shifting development to the cloud, Daytona eliminates the need for complex local setups and enables fully reproducible sandboxes accessible via SSH, APIs, or live preview URLs. Built for speed, automation, and scalability, it supports everything from simple prototypes to production-grade agent workloads.

Dead Simple Email offers an email API that provides genuine email inboxes for AI agents and automated workflows. With just a single API call, users can set up an inbox and communicate using real email addresses via REST or standard IMAP/SMTP protocols, while receiving replies formatted as structured webhooks. Incoming messages undergo a prompt injection check prior to delivery, and users can access a dashboard that displays the complete history of communications for each agent. The service begins with a free plan that includes 5 inboxes, with an option to upgrade to 100 inboxes for $29 per month, charging based on the number of inboxes rather than the number of users. This flexibility makes it an appealing choice for businesses looking to integrate email functionality seamlessly into their automated systems.

TinyFish is an innovative enterprise AI platform that creates and manages "enterprise web agents" capable of executing intricate workflows across the internet at an extensive scale. Rather than depending on APIs or manual interventions, these agents emulate human behavior by navigating websites, extracting valuable information, and performing multi-step operations across numerous platforms simultaneously. This approach addresses the increasing complexity of the modern online landscape, where valuable data is often scattered, secured behind logins, or in a state of constant flux, rendering traditional automation methods ineffective. TinyFish's agents are supported by a sophisticated infrastructure that allows them to learn, adapt, and scale efficiently, ensuring their accuracy and reliability amidst the evolving web environments. The platform is structured around achieving specific outcomes rather than merely completing isolated tasks, allowing agents to carry out comprehensive processes such as pricing intelligence, inventory management, or market surveillance from beginning to end. As a result, TinyFish not only streamlines operations but also enhances the potential for businesses to extract actionable insights from diverse data sources.

Molted serves as a managed operating environment specifically designed for autonomous AI agents, enabling teams to effortlessly deploy, host, monitor, recover, and scale agents based on OpenClaw without needing to create their own cloud infrastructure, DevOps, integration, or recovery frameworks. With features that include agent-ready runtimes equipped with persistent workspaces, browser automation capabilities, over 1,000 application integrations, dedicated email and voice functionalities for each agent, comprehensive monitoring, automatic recovery solutions, and efficient lifecycle management, Molted empowers agents to utilize various tools, access websites lacking APIs, and communicate via email, voice, or SMS, ensuring their ongoing operational capability. Targeted at AI agencies, SaaS developers, OpenClaw consultants, and organizations managing fleets of agents for both customer-oriented and internal processes, Molted also offers robust support for managing multiple agents, versioned filesystems, restore points, REST API controls, and deployment options across cloud, on-premise, or sovereign environments. Importantly, Molted distinguishes itself from generic hosting solutions by serving as the foundational run layer specifically tailored for production-grade AI agents, ensuring optimal performance and reliability for diverse applications. In this way, it significantly enhances the operational efficiency of teams utilizing AI technologies.

Archestra serves as an open-source, self-hosted AI platform designed for the deployment and management of agents within an organization. It features agentic chat functionalities tailored for non-developers, along with applications, skills, collaborative projects, a server-side agent runtime, MCP orchestration, permission-aware RAG, LLM and MCP proxies, security guardrails, and comprehensive observability, all integrated into a single platform. Users can authenticate through SSO, ensuring that every tool interaction occurs under the individual’s personal identity rather than through a common service account. Projects are organized to consolidate chats, files, scheduled tasks, and instructions, while agents operate within isolated containers, triggered by schedules, emails, or webhooks. MCP servers are hosted within the organization's Kubernetes environment, navigating through security-reviewed promotion processes that enforce distinct credentials and network policies. Furthermore, knowledge bases can interface with Confluence, Jira, drives, and internal documents while maintaining source-system ACLs, ensuring that users can access only the content for which they possess permissions. This comprehensive suite of features makes Archestra an invaluable resource for organizations looking to streamline their AI deployments and governance.

InstaVM offers a robust production sandbox and cloud solution designed specifically for AI agents, equipping them with immediate access to computing resources including runtime, storage, networking, secrets, and policy management. Unlike traditional sandboxes, it utilizes hardware-isolated virtual machines instead of containers, ensuring that teams can provide AI agents with secure environments that feature complete Linux filesystems, networking capabilities, package management, RESTful API access, and the ability to maintain persistent states. The platform's support for snapshots enables users to create forks of any sandbox and revert to previous states, while its persistent volumes ensure that data is retained across executions. Additionally, egress control allows teams to manage which connections can be made externally, and features like secrets injection and Vault work to safeguard sensitive information from potential prompt injections. Moreover, public URL deployments can make any port accessible on the public web, enhancing its versatility. It is specifically tailored for various agent patterns, including code interpreters, deployment agents, deep research agents, AI evaluations, reinforcement learning applications, computer usage, and vibe coding applications, making it a comprehensive tool for developers. With its innovative architecture and extensive features, InstaVM solidifies its position as a leading solution for AI-driven projects.

actlike.me is an intelligent AI-driven browsing automation platform designed to eliminate the tediousness of manual web tasks. It enables users to set up detailed instructions for the browser to navigate websites, collect data, and perform actions on their behalf, all without writing any code. The platform supports scheduling automation to run once or on a recurring basis, helping users save time by running workflows even while they sleep. Data outputs can be customized and exported in various formats such as CSV, JSON, or plain text to fit diverse use cases. Users retain control by having the option to pause automation at any moment for tasks requiring manual input, including authentication steps. actlike.me caters to individual users and teams with flexible pricing tiers, from a free plan with 50 monthly credits to professional packages offering custom integrations and priority support. The platform places strong emphasis on security, managing credentials safely and providing advanced browsing security features for higher-tier plans. It is designed to be easy to use, enabling anyone to automate web workflows quickly and efficiently.

Archonum is a browser automation infrastructure platform that lets users run scripts through real consumer smartphones instead of cloud browsers with proxy layers. The platform supports Playwright, Puppeteer, REST, curl, and MCP workflows, making it useful for scraping, AI agents, price intelligence, mobile-first data access, and geo comparison. Archonum runs Chrome for Android directly on a real phone, so the browser, IP, sensors, hardware, language, timezone, and network signals all come from the same device. This architecture is designed to avoid the mismatch that bot detection systems often find when a cloud browser uses a residential proxy. Users can route automation through 250,000+ smartphone nodes in 175+ countries and execute scripts with real device identities, exit IPs, and local context. The platform includes fleet execution so one script can run across many sessions in parallel, each with its own country and device fingerprint. Archonum also provides an MCP server with tools for rendered page reads, stateful sessions, login flows, cart or booking workflows, and country comparisons. Developers can point existing Playwright or Puppeteer scripts at Archonum through the gateway without learning a new SDK or rewriting their automation. By combining real mobile execution, residential device IPs, browser automation, MCP support, geo targeting, sticky sessions, and fleet-scale execution, Archonum helps teams reduce block rates and access web data more reliably.

Composio is an advanced platform designed to empower AI agents with the ability to execute real-world tasks across multiple applications. It connects agents to over 1,000 tools, enabling seamless interaction with platforms like Slack, Gmail, Notion, and GitHub. The platform automates key processes such as authentication, permission management, and tool execution, reducing development complexity. Composio uses intelligent tool selection to match user intent with the appropriate actions, improving accuracy and efficiency. It also provides secure sandbox environments where workflows can run safely and independently. Developers can create multi-step workflows and automate complex tasks with minimal setup. The platform supports parallel execution, allowing agents to perform multiple operations simultaneously. Composio is model-agnostic, enabling flexibility in choosing AI models without reworking integrations. Its context-aware sessions ensure agents maintain continuity across tasks and interactions. Overall, Composio transforms AI agents into fully functional systems capable of executing real-world workflows.

Tabstack is a managed web extraction, research, and automation API designed to help developers build live-web features without maintaining browser infrastructure or scraping pipelines. Users can send a URL, structured schema, research question, or plain-language task and receive clean data, cited research, or completed web actions from a single API call. The platform includes endpoints for extracting schema-matched JSON, converting pages into clean Markdown, generating structured outputs, running cited research agents, and automating browser tasks. Tabstack handles the reasoning, rendering, schema enforcement, browser execution, and orchestration behind the scenes so teams can focus on building products instead of managing extraction systems. Its research endpoint reads the live web, selects sources, synthesizes answers, and returns citations on claims, making it useful for trustworthy research agents. Its automation endpoint can navigate, click, fill forms, and complete multi-step workflows on third-party sites, with interactive pauses when human input is needed. Tabstack also supports TypeScript and Python SDKs, MCP integration, CLI access, and streaming responses over SSE. Developers can use it for lead enrichment, competitive monitoring, knowledge base ingestion, workflow automation, booking flows, product data extraction, and in-app research. With privacy controls, no model training on user data, and plans ranging from free credits to enterprise quotas, Tabstack gives teams a practical backend for AI agents that need to understand and act on the web.

BrowserQL serves as a specialized scraping language and browser automation solution designed to effectively navigate bot detection systems while leaving minimal traces of automation. It features inherent anti-detection capabilities that require no configuration, enabling users to circumvent services like Cloudflare and Datadome without the need for additional plugins or setups. Additionally, BrowserQL can seamlessly handle common CAPTCHA challenges, even those embedded within iframes or shadow DOMs, utilizing techniques such as auto-humanized clicking, scrolling, and typing patterns, as well as hidden debugging protocols and automatic fingerprint evasion, all complemented by residential proxy integration for a more authentic browsing experience. In contrast to traditional DIY setups utilizing Playwright, which demand the use of stealth plugins and frequent manual interventions for mouse or keyboard simulations, BrowserQL provides a more efficient and streamlined process that significantly reduces the chances of detection by automation libraries. This allows users to focus on their scraping tasks without the constant worry of being flagged or blocked by sophisticated bot detection mechanisms.

SurgeFlow is an innovative browser automation tool powered by AI, available as a Chrome/Chromium extension, which enables users to automate complex and repetitive online tasks such as data scraping, price comparisons, research compilation, form filling, onboarding management, and application submissions by simply expressing their desires in natural language; the extension seamlessly interprets these commands, strategizes the necessary steps, executes actions across numerous tabs, and verifies outcomes without the need for any coding or additional workflow tools. This tool functions entirely within the user’s current browser environment, eliminating the need for switching between different applications or lengthy setup processes, allowing users to review the proposed automation before it runs and ensuring transparent and dependable results. SurgeFlow caters to a variety of applications, including automated price checks, data extraction from multiple websites, literature organization for reviews, streamlining software onboarding processes, submitting job applications, and automating social media postings, making it a versatile solution for everyday online tasks. With SurgeFlow, users can enhance their productivity by automating tedious processes, thereby freeing up time for more critical activities.

Flowise is an open-source agentic development platform designed to help teams build AI agents and LLM-powered applications using a visual workflow interface. The platform allows users to design intelligent workflows through modular components that can be combined to create chatbots, automation systems, and autonomous AI agents. Developers can build both single-agent chat assistants and multi-agent systems that collaborate to complete complex tasks. Flowise integrates with more than 100 large language models, embedding models, and vector databases, providing flexibility in selecting AI technologies. The platform also supports retrieval-augmented generation (RAG), enabling applications to retrieve knowledge from documents and data sources. Built-in features such as human-in-the-loop workflows allow users to review and validate agent actions before execution. Observability tools provide detailed execution traces and compatibility with monitoring systems like Prometheus and OpenTelemetry. Developers can integrate Flowise with existing applications using APIs, SDKs, or embedded chat widgets. The platform supports both cloud and on-premises deployment environments for enterprise scalability. By providing visual tools and flexible integrations, Flowise accelerates the development and deployment of advanced AI-driven applications.

omp (oh my pi) is an AI coding agent platform designed to give developers a fully integrated environment for software development, debugging, automation, and collaboration. Built as an enhanced evolution of the Pi coding harness, it connects AI models directly to language servers, debuggers, shells, browsers, memory systems, GitHub repositories, and local development tools without relying on separate plugins or external workflows. The platform supports more than 40 AI providers, allowing developers to switch between frontier models, coding plans, local models, and self-hosted AI services from a unified interface. omp includes advanced capabilities such as structural code editing, intelligent code review, persistent Python and JavaScript execution, browser automation, workflow orchestration, subagents, and collaborative live coding sessions. Developers can debug applications using integrated DAP support, perform semantic code analysis through LSP integration, and automate complex development tasks with specialized built-in tools. Its local memory system allows the agent to retain project knowledge across sessions while maintaining developer control over stored information. omp also introduces innovations such as hash-based code editing, deterministic context compaction, time-traveling stream rules, and content-aware retrieval that improve AI coding accuracy while reducing token usage. Built on a native Rust engine with support for Windows, macOS, and Linux, the platform emphasizes speed, low overhead, and deep integration with local development environments. As an MIT-licensed open-source project, omp gives developers an extensible AI coding platform that can be customized, audited, and expanded to match their own engineering workflows.

Create browser agents to tackle practical tasks with ease. Autotab simplifies the process of developing auditable browser automation powered by AI, allowing users to swiftly transition from a point-and-click demo in the browser to actual live code representing those actions in just a matter of seconds. This efficiency enhances productivity and streamlines workflows for users engaged in various online activities.

Asteroid is an innovative platform that harnesses AI to automate browser tasks, enabling both novices and seasoned developers to create, implement, oversee, and enhance intricate web workflows without the necessity of traditional coding. At its heart lies a graph-based agent builder, which allows users to articulate their desired actions in natural language while also setting up repeatable logic through variables and structured outputs. Asteroid operates with a sophisticated backend that incorporates encrypted credential management and selector-based guardrails powered by Playwright, facilitating seamless navigation of web pages, interaction with user interface elements, and the ability to call external APIs when required. Users have the flexibility to deploy agents instantly via a RESTful API, integrate them into pre-existing systems, or work within the platform’s console, which features real-time oversight, debugging capabilities, and checkpoints for human involvement. The application of Asteroid spans a diverse array of scenarios, including complex multi-step data extraction, efficient data entry into legacy systems, and the automation of reporting processes, making it a versatile tool for enhancing productivity. With its user-friendly design and powerful capabilities, Asteroid is positioned to significantly transform how businesses approach web automation.

Web Scraping API and Proxy Server ZenRows API manages rotating proxy, headless browsers, and CAPTCHAs. With a simple API call, you can easily collect content from any website. ZenRows can bypass any anti-bot blocking system to help get the information you need. We offer several options, such as Javascript rendering or Premium proxy. The autoparse option will automatically return structured data. It will convert unstructured data into structured data (JSON output) without the need for code. ZenRows provides high accuracy and success rates without the need for human intervention. It will take care of all the details. Premium Proxies are required for domains that are particularly complex (e.g. Instagram). The success rate for all domains will be equal after they are enabled. If the request returns an error, it will not be charged nor computed. Only successful requests will be counted.

OpenFang is an innovative open-source Agent Operating System developed in Rust, designed to deliver a cohesive runtime for the creation, deployment, and oversight of autonomous AI agents at a production level. It features a comprehensive architecture bundled into a single executable, which allows developers to deploy agents that run continuously, construct knowledge graphs, and send updates to a centralized dashboard without the need for ongoing user interaction. Central to OpenFang are its "Hands," which are pre-configured autonomous capability packages that function on predetermined schedules to carry out various tasks, including lead generation, research activities, browser automation, and social media management. The platform offers numerous pre-built agents along with native tools and channel adapters, facilitating seamless operation across various platforms such as Slack, WhatsApp, Discord, and Teams from a unified interface. Engineered with security at its core, OpenFang incorporates multiple layers of defense, including WASM sandboxing, cryptographic signing, taint tracking, and tamper-proof audit trails, ensuring robust protection for users. This comprehensive approach not only enhances the functionality of AI agents but also fosters trust and reliability in their operations.

Contextually is an innovative enterprise AI platform aimed at empowering organizations to create and implement production-ready AI agents capable of interpreting intricate, domain-specific information through sophisticated context engineering. It features a cohesive context layer that links AI models to extensive enterprise knowledge, which encompasses a variety of sources such as documents, databases, and multimodal data, allowing agents to produce precise, well-founded, and pertinent results. Users can swiftly define and configure agents using prebuilt templates, natural language prompts, or an intuitive visual drag-and-drop interface, accommodating both dynamic agents and structured workflows customized for particular applications. Additionally, the platform comes equipped with capabilities to ingest and process vast datasets from diverse origins, converting both unstructured and structured data into accessible knowledge through intelligent parsing, metadata creation, and ongoing updates. By harnessing these features, organizations can enhance their operational efficiency and decision-making processes.

guIDE is a desktop integrated development environment designed specifically for local large language model inference, allowing users to execute AI models directly on their machines without any data transmission outside. This platform boasts a sophisticated agentic AI loop that facilitates autonomous execution of multi-step tasks, along with RAG codebase indexing that enhances context-aware responses. It comes equipped with 53 integrated MCP tools for various functionalities such as file management, web searching, and browser automation, as well as Playwright integration for enhanced web interactions. Additionally, guIDE supports code execution in over 50 programming languages and incorporates Whisper for voice input, alongside complete Git functionality for version control. Users also have the option to utilize cloud-based LLM support from providers like OpenAI and Anthropic if needed. guIDE is accessible in multiple formats, including desktop applications for Windows, Linux, and macOS, a browser-based version, and a Chrome extension for added convenience. Its versatility makes it an ideal choice for developers seeking to leverage advanced AI capabilities locally.

CopyCat is a no-code platform designed for browser automation that allows users to streamline any web-based task by merging AI-powered prompts with predictable actions such as clicks and form submissions, all without the need for coding. By utilizing an intuitive visual builder, users can incorporate a blend of both agentic and deterministic steps, tailor settings like browser configurations, schedules, and webhooks, and then activate their automations through APIs or schedule them to operate continuously in the cloud. This tool works effortlessly with older websites and portals that do not provide APIs, facilitating the automation of processes like uploading invoices, downloading bank statements, managing reconciliations, handling intricate insurance forms, and extracting data from public records, ultimately enabling teams to save countless hours and enhance operational scalability. Exception-based routing highlights only the atypical cases that require human scrutiny, while robust automated logging and retry mechanisms enhance the overall reliability of operations. With CopyCat, users can significantly improve their productivity and reduce the manual effort associated with repetitive tasks.

Gemini Computer Use is an agentic computer interaction capability built into Gemini 3.5 Flash. It enables developers and enterprises to create AI agents that can work across browser, desktop, and mobile environments by seeing interfaces, reasoning through tasks, and taking action. The capability was previously offered through a standalone Gemini 2.5 computer use model, but is now natively integrated into Gemini 3.5 Flash. This gives developers access to stronger performance for agentic computer use tasks while also combining with Gemini’s existing strengths in function calling, Search grounding, Maps grounding, and built-in tools. Gemini Computer Use is designed for long-horizon automation, continuous software testing, enterprise knowledge work, and workflows that span multiple professional applications. Developers can start building with the feature through the Gemini API or Gemini Enterprise Agent Platform. Google also provides a demo environment through Browserbase for testing the capability. Safety controls include targeted adversarial training for live-environment risks, optional explicit user confirmation for sensitive or irreversible actions, and automatic task stopping when indirect prompt injection is identified. Gemini Computer Use helps organizations build practical AI agents that can complete complex digital tasks while supporting sandboxing, human review, and strict access controls.

Scrapeless - Revolutionizing the way we derive insights and value from the immense pool of unstructured data on the internet using groundbreaking technologies. Our goal is to equip organizations with the tools to fully harness the wealth of public data available online. With our suite of products, including the Scraping Browser, Scraping API, Web Unlocker, Proxies, and CAPTCHA Solver, users can effortlessly gather public information from any website. Additionally, Scrapeless offers a powerful web search tool: Deep SerpApi, which streamlines the integration of dynamic web data into AI-driven solutions. This culminates in an ALL-in-One API that enables seamless, one-click search and extraction of web data.

UScraper is a no-code desktop application designed for web scraping and automating browser tasks. It allows users to create workflows on an intuitive visual canvas, utilizing blocks for various functions such as navigation, clicks, form submissions, waiting times, data extraction, conditional logic, screenshots, scheduling, and exporting data. This tool caters to a variety of professionals, including marketers, operations teams, analysts, QA leads, researchers, ecommerce teams, and SEO specialists who require access to browser-based data without the need to write code or pay for ongoing cloud scraping subscriptions. UScraper can export data in CSV and JSON formats directly to the user's local storage, is capable of handling JavaScript-heavy websites, and manages cookies, credentials, screenshots, and output files locally on the user's device. The software is available for a one-time fee of $99, making it a cost-effective solution for those needing reliable web data extraction. With its user-friendly interface and powerful features, UScraper stands out as an essential tool for professionals looking to streamline their data collection processes.

BrowserAct is a cloud-based platform that harnesses AI to automate browser tasks and extract data, allowing users to engage with websites and gather information using natural language without the need for coding. Its user-friendly interface enables users to articulate their needs, such as tracking competitor prices, observing industry trends, or supplying data to AI systems, while the platform automatically sets up the necessary workflows. With features like intelligent routing, multi-step task management, real-time data access, and a worldwide residential IP network, BrowserAct adeptly handles complex scenarios, including scraping from restricted sites, managing human verification, and ongoing content observation. The platform provides high-quality structured data that is perfect for training and improving AI agents, making it easier to conduct market research and analyze competitors. Furthermore, by streamlining repetitive online tasks through a simple interface, BrowserAct effectively connects the world of manual browsing with comprehensive automation, enhancing productivity and efficiency for its users. In this way, it not only simplifies the process of data collection but also empowers users to make more informed decisions based on real-time insights.

NextBrowser is a browser automation and AI agent orchestration platform designed to let AI systems perform real web-based work through managed browser environments. Users can connect an AI agent they already use and give it access to configured browser profiles, proxies, automation skills, and workflow schedules. The platform can support tasks such as researching competitor advertising, scraping websites, monitoring prices, managing social accounts, conducting outreach, testing web applications, and evaluating how AI systems describe a brand. Rather than depending exclusively on official platform APIs, NextBrowser allows agents to interact with websites through the browser itself. This approach can support activities such as posting, commenting, browsing, collecting structured information, and managing multiple accounts from the same platform. Account protection features include anti-fingerprinting technology, residential proxy support, encryption, and remote login methods that avoid directly sharing account passwords with the AI agent. Users can schedule recurring workflows so agents continue carrying out approved tasks without requiring the same instructions to be entered manually each time. NextBrowser also provides an open-source desktop application, documentation, predefined use cases, and integrations intended to simplify agent-driven browser workflows. The platform is built for marketers, researchers, growth teams, agencies, developers, and other users that need scalable automation across websites and online accounts.