What OpenWeb Does
OpenWeb is an agent-native interface layer that lets AI agents access any website by calling the underlying APIs directly rather than parsing HTML. Instead of having your agent navigate web pages visually or scrape DOM elements, OpenWeb intercepts and exposes the JSON APIs that websites use internally, eliminating the complexity of HTML parsing and browser automation. This approach is particularly powerful for AI agents because it provides structured, reliable data in JSON format—exactly what language models work best with.
Designed for teams building AI workflows, OpenWeb handles all the authentication headaches automatically: cookies, JWT tokens, CSRF tokens, request signing, and custom headers are resolved per request without requiring manual configuration. Whether you’re building agents that need to interact with SaaS platforms, marketplaces, or internal dashboards, OpenWeb transforms websites into clean API interfaces that your Claude agent can consume reliably.
How to Install
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Clone the repository
git clone https://github.com/openweb-org/openweb.git cd openweb -
Install dependencies
npm install # or yarn install -
Configure your environment
- Create a
.envfile in the project root - Add any required API keys or configuration variables for target websites
- Create a
-
Start the OpenWeb server
npm run start # or yarn start -
Verify installation
- The server typically runs on
http://localhost:3000 - Test by making a request to your configured endpoints
- The server typically runs on
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Connect to Claude
- Use the OpenWeb endpoint as a tool in your Claude agent configuration
- Reference the OpenWeb API documentation for your target website
Use Cases
- E-commerce automation: Build agents that check inventory, compare prices, and place orders by calling the same APIs that web frontends use, with automatic auth handling across different account sessions.
- SaaS workflow automation: Create agents that manage Slack channels, update Jira tickets, or modify Salesforce records by accessing the native APIs behind these platforms’ web interfaces.
- Market research and monitoring: Deploy agents that track competitor pricing, monitor product availability, and aggregate data from multiple websites using their internal APIs rather than fragile scraping logic.
- Account aggregation platforms: Build tools that consolidate data from dozens of user accounts across different services (banking, crypto, utilities) by providing agents with authenticated API access to each platform.
- Content management and publishing: Enable agents to interact with WordPress, Medium, or custom CMS platforms by directly calling their backend APIs, handling multi-factor authentication and session management automatically.
How It Works
OpenWeb operates as a middleware layer that sits between your AI agent and target websites. When a request comes in, OpenWeb’s proxy intercepts the network calls that the website’s JavaScript frontend normally makes. Instead of forcing your agent to understand HTML structure, OpenWeb extracts and exposes these internal API calls in a clean JSON format. For example, if you’re trying to access a user’s profile on a website, OpenWeb identifies that the website calls /api/user/profile internally and surfaces that API directly to your agent.
Authentication is handled transparently through OpenWeb’s request resolver system. When a website requires cookies, JWT tokens, CSRF tokens, or custom signing algorithms, OpenWeb automatically detects these requirements and applies them to each request without requiring your agent to manage credentials explicitly. The system learns authentication patterns by observing real browser traffic and replicates them for your agent’s requests. This is critical because many websites use anti-bot measures that require specific header sequences, timestamp signing, or token rotation—OpenWeb handles these complexities behind the scenes.
The architecture works by having OpenWeb first analyze the target website through various methods: recording live browser sessions to capture API calls, analyzing JavaScript code to understand endpoint patterns, and testing authentication flows. Once analyzed, the website becomes available as a set of typed API endpoints that your agent can call with simple JSON requests and receive structured JSON responses. This approach is dramatically more reliable than HTML scraping because it’s not vulnerable to UI changes, doesn’t require visual element detection, and naturally provides the exact data format your agent needs.
Pros and Cons
Pros:
- Dramatically faster than browser automation—no rendering overhead, direct API calls
- More reliable than HTML scraping—not vulnerable to layout changes, CSS selector updates, or visual dependency
- Automatic authentication handling—cookies, JWT, CSRF, and custom signing resolved transparently per request
- Returns structured JSON data immediately—exactly what AI agents need, no parsing required
- Works with any website using JSON APIs—covers most modern SaaS, marketplaces, and web applications
- Reduces complexity—single integration point for accessing many websites through a consistent interface
Cons:
- Requires initial analysis of target websites to expose their APIs—not instant for every site you want to use
- Some websites have anti-bot measures or obfuscated APIs that are harder to reverse-engineer
- Rate limiting and abuse prevention are website-specific—you must implement appropriate request throttling
- MFA handling varies by implementation—some websites may require manual intervention for 2FA
- Relies on websites maintaining their internal API structure—breaking changes on the website side can require reanalysis
- Learning curve for setting up complex authentication flows or custom website analysis
Related Skills
- Anthropic Files API: Store and manage website specifications and API documentation that OpenWeb generates, making them accessible to your Claude agents.
- Web Scraping libraries (BeautifulSoup, Puppeteer): Traditional alternatives for HTML parsing when OpenWeb analysis isn’t available for a target website.
- Playwright: Browser automation tool useful as a fallback for websites where OpenWeb’s API extraction encounters limitations.
- n8n or Make.com: Workflow automation platforms that integrate with OpenWeb to orchestrate agent-driven website interactions.
- Custom API wrappers: Self-built middleware layers for specific websites that can complement OpenWeb for maximum control and customization.
Alternatives
- Selenium or Puppeteer: Browser automation frameworks that control headless browsers to interact with websites. More flexible but slower, resource-intensive, and fragile to UI changes compared to OpenWeb’s API-first approach.
- Traditional web scraping (BeautifulSoup, Scrapy): Parse HTML directly to extract data. Simple for static content but breaks when websites update their layout and doesn’t provide the structured JSON format agents prefer.
- Official API SDKs: Use vendor-provided SDKs directly when available (e.g., AWS SDK, Shopify SDK). More reliable but only available for some platforms and requires maintaining multiple integrations rather than one unified approach.