opencli-web-automation
Turn any website into a CLI using browser session reuse and AI-powered command discovery
What this skill does
# OpenCLI Web Automation > Skill by [ara.so](https://ara.so) — Daily 2026 Skills collection. OpenCLI turns any website into a command-line interface by reusing Chrome's logged-in browser session. It supports 19 sites and 80+ commands out of the box, and lets you add new adapters via TypeScript or YAML dropped into the `clis/` folder. --- ## Installation ```bash # Install globally via npm npm install -g @jackwener/opencli # One-time setup: discovers Playwright MCP token and distributes to all tools opencli setup # Verify everything is working opencli doctor --live ``` ### Prerequisites - Node.js >= 18.0.0 - Chrome browser **running and logged into the target site** - [Playwright MCP Bridge](https://chromewebstore.google.com/detail/playwright-mcp-bridge/mmlmfjhmonkocbjadbfplnigmagldckm) extension installed in Chrome ### Install from Source (Development) ```bash git clone [email protected]:jackwener/opencli.git cd opencli npm install npm run build npm link ``` --- ## Environment Configuration ```bash # Required: set in ~/.zshrc or ~/.bashrc after running opencli setup export PLAYWRIGHT_MCP_EXTENSION_TOKEN="<your-token-from-setup>" ``` MCP client config (Claude/Cursor/Codex `~/.config/*/config.json`): ```json { "mcpServers": { "playwright": { "command": "npx", "args": ["-y", "@playwright/mcp@latest", "--extension"], "env": { "PLAYWRIGHT_MCP_EXTENSION_TOKEN": "$PLAYWRIGHT_MCP_EXTENSION_TOKEN" } } } } ``` --- ## Key CLI Commands ### Discovery & Registry ```bash opencli list # Show all registered commands opencli list -f yaml # Output registry as YAML opencli list -f json # Output registry as JSON ``` ### Running Built-in Commands ```bash # Public API commands (no browser login needed) opencli hackernews top --limit 10 opencli github search "playwright automation" opencli bbc news # Browser commands (must be logged into site in Chrome) opencli bilibili hot --limit 5 opencli twitter trending opencli zhihu hot -f json opencli reddit frontpage --limit 20 opencli xiaohongshu search "TypeScript" opencli youtube search "browser automation" opencli linkedin search "senior engineer" ``` ### Output Formats All commands support `--format` / `-f`: ```bash opencli bilibili hot -f table # Rich terminal table (default) opencli bilibili hot -f json # JSON (pipe to jq) opencli bilibili hot -f yaml # YAML opencli bilibili hot -f md # Markdown opencli bilibili hot -f csv # CSV export opencli bilibili hot -v # Verbose: show pipeline debug steps ``` ### AI Agent Workflow (Creating New Commands) ```bash # 1. Deep explore a site — discovers APIs, auth, capabilities opencli explore https://example.com --site mysite # 2. Synthesize YAML adapters from explore artifacts opencli synthesize mysite # 3. One-shot: explore → synthesize → register in one command opencli generate https://example.com --goal "hot posts" # 4. Strategy cascade — auto-probes PUBLIC → COOKIE → HEADER auth opencli cascade https://api.example.com/data ``` Explore artifacts are saved to `.opencli/explore/<site>/`: - `manifest.json` — site metadata - `endpoints.json` — discovered API endpoints - `capabilities.json` — inferred command capabilities - `auth.json` — authentication strategy --- ## Adding a New Adapter ### Option 1: YAML Declarative Adapter Drop a `.yaml` file into `clis/` — auto-registered on next run: ```yaml # clis/producthunt.yaml site: producthunt commands: - name: trending description: Get trending products on Product Hunt args: - name: limit type: number default: 10 pipeline: - type: navigate url: https://www.producthunt.com - type: waitFor selector: "[data-test='post-item']" - type: extract selector: "[data-test='post-item']" fields: name: selector: "h3" type: text tagline: selector: "p" type: text votes: selector: "[data-test='vote-button']" type: text url: selector: "a" attr: href - type: limit count: "{{limit}}" ``` ### Option 2: TypeScript Adapter ```typescript // clis/producthunt.ts import type { CLIAdapter } from "../src/types"; const adapter: CLIAdapter = { site: "producthunt", commands: [ { name: "trending", description: "Get trending products on Product Hunt", options: [ { flags: "--limit <n>", description: "Number of results", defaultValue: "10", }, ], async run(options, browser) { const page = await browser.currentPage(); await page.goto("https://www.producthunt.com"); await page.waitForSelector("[data-test='post-item']"); const products = await page.evaluate(() => { return Array.from( document.querySelectorAll("[data-test='post-item']") ).map((el) => ({ name: el.querySelector("h3")?.textContent?.trim() ?? "", tagline: el.querySelector("p")?.textContent?.trim() ?? "", votes: el .querySelector("[data-test='vote-button']") ?.textContent?.trim() ?? "", url: (el.querySelector("a") as HTMLAnchorElement)?.href ?? "", })); }); return products.slice(0, Number(options.limit)); }, }, ], }; export default adapter; ``` --- ## Common Patterns ### Pattern: Authenticated API Extraction (Cookie Injection) ```typescript // When a site exposes a JSON API but requires login cookies async run(options, browser) { const page = await browser.currentPage(); // Navigate first to ensure cookies are active await page.goto("https://api.example.com"); const data = await page.evaluate(async () => { const res = await fetch("/api/v1/feed?limit=20", { credentials: "include", // reuse browser cookies }); return res.json(); }); return data.items; } ``` ### Pattern: Header Token Extraction ```typescript // Extract auth tokens from browser storage for API calls async run(options, browser) { const page = await browser.currentPage(); await page.goto("https://example.com"); const token = await page.evaluate(() => { return localStorage.getItem("auth_token") || sessionStorage.getItem("token"); }); const data = await page.evaluate(async (tok) => { const res = await fetch("/api/data", { headers: { Authorization: `Bearer ${tok}` }, }); return res.json(); }, token); return data; } ``` ### Pattern: DOM Scraping with Wait ```typescript async run(options, browser) { const page = await browser.currentPage(); await page.goto("https://news.ycombinator.com"); // Wait for dynamic content to load await page.waitForSelector(".athing", { timeout: 10000 }); return page.evaluate((limit) => { return Array.from(document.querySelectorAll(".athing")) .slice(0, limit) .map((row) => ({ title: row.querySelector(".titleline a")?.textContent?.trim(), url: (row.querySelector(".titleline a") as HTMLAnchorElement)?.href, score: row.nextElementSibling ?.querySelector(".score") ?.textContent?.trim() ?? "0", })); }, Number(options.limit)); } ``` ### Pattern: Pagination ```typescript async run(options, browser) { const page = await browser.currentPage(); const results = []; let pageNum = 1; while (results.length < Number(options.limit)) { await page.goto(`https://example.com/posts?page=${pageNum}`); await page.waitForSelector(".post-item"); const items = await page.evaluate(() => Array.from(document.querySelectorAll(".post-item")).map((el) => ({ title: el.querySelector("h2")?.textContent?.trim(), url: (el.querySelector("a") as HTMLAnchorEle
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