Waiting for the right moment to buy usually means refreshing product pages for weeks, so PriceBuddy does the refreshing for you and speaks up when the price is right. Paste a product URL and it fetches the details and price, then rechecks on a global schedule or a per-product interval from every 5 minutes to every 24 hours. Stores are scraped with CSS selectors, regular expressions, or JSONPath, a headless browser covers JavaScript-heavy shops, and an optional AI provider (OpenAI, Anthropic, Gemini, or local Ollama) can recover missing prices or repair broken selectors. Attach several URLs to one product to compare retailers or marketplace listings, with in-stock, pre-order, and discontinued states shown beside each source. Unit pricing reveals the real cost per tablet or bag when multi-packs distort shelf prices, while history charts show minimum, maximum, and average over time. Alerts fire on a target price, a drop threshold, or a back-in-stock event and arrive by in-app notice, email, Pushover, Gotify, Apprise, Telegram, Discord webhook, or ntfy. Tags sort products into draggable dashboard groups, with optional smart sections for what to buy now, recent drops, and failed checks. Each user keeps separate products and settings, a REST API with scoped tokens serves your scripts, and a Chrome and Edge extension tracks items from the page you are viewing. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

Goofish Monitor watches Xianyu for the secondhand deals you actually want, checking listings around the clock and alerting you when a match appears at the right price. Describe what you are hunting in plain language and the AI judge turns it into analysis criteria, or skip the model and write exact keyword rules yourself. Each task carries its own keywords, price range, listing age window, and province, city, and district filters, and several tasks run side by side without stepping on each other. Results land in a browsable page with price history, so you can see whether a seller dropped the price or relisted the same item. When something matches, notifications fan out to ntfy, Telegram, Bark, WeChat Work, or a generic webhook, which means the good deals reach your phone before someone else grabs them. Cron schedules let tasks wake on your timetable, accounts can be bound per task, and proxy rotation with retries keeps longer monitoring runs alive. The management interface covers task creation, account login states, prompt editing, run logs, and system settings, so diagnosis happens in the browser instead of a log file. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

The jacket you want at the price you want sells in minutes, so Vintrack watches Vinted around the clock and pings you the moment a matching listing appears. You build monitors around the searches you actually run, choosing the regional market and narrowing by price range, category, brand, color, clothing or shoe size, condition, and seller country. Matching items stream into a live dashboard feed as they surface, and the same matches can land in Discord through per-monitor webhooks or in Telegram through a connected bot, with rich or compact alert layouts per channel. Regional proxy pools keep catalog checks running, with personal groups for dedicated capacity and health-scored shared pools showing which regions are ready before you rely on them. If you link a Vinted account you control through the browser extension, you can go further without leaving the flow: like items, send offers, message sellers, browse wardrobes, and open checkout for the finds worth acting on. Roles separate free, premium, and admin users on shared instances, sign-in runs through Discord OAuth or any standard OIDC provider, and bounded logs keep a busy instance from eating its own disk. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Price drops, restocks, job postings, government announcements, competitor edits - changedetection.io watches web pages and alerts you the moment anything changes, down to PDF text and checksums. Point it at a URL, set a check interval, and precise filters decide what counts as a change: a Visual Selector targets page elements by pointing and clicking, CSS selectors and XPath narrow scope, trigger-text and ignore-text rules (with regex support) cut noise, and JSONPath or jq handles API responses. A dedicated re-stock and price detection mode extracts product metadata and fires on thresholds - alert only when the price drops below your target or the percentage change exceeds a limit. JavaScript-heavy sites render through a real Chrome browser via Playwright, with the ability to execute JS steps first (log in, click, scroll) before extracting text. Notifications reach 85+ services through Apprise - Discord, Slack, Telegram, email, webhooks - optionally with a screenshot of the changed page, and AI-powered summaries (any OpenAI-compatible endpoint, including local Ollama) describe what changed. Per-watch proxies, custom headers, and POST/GET control cover hostile targets. Apache-2.0 licensed with local file-based storage: the URLs you monitor and why stay entirely your business.

Name the route and the fare you will pay, and Ticket Monitoring keeps watch over five booking channels, alerting you the moment a real fare drops to your price. It collects actual flight details, not headline prices: flight numbers, times, transfers, cabins, aircraft, and baggage allowances from Qunar, Fliggy, Ctrip, Tongcheng, and Tuniu, with five optional app channels feeding the same tables. Every watched route carries its own rules: separate target lines for nonstop and connecting flights, airline whitelists, baggage and departure-time gates, a maximum trip duration, and pause switches that shelve a route without deleting it. Each scan writes every flight into a local price history, so the console draws candlestick trends, 14-day departure price bands, and low-fare calendars from your own collected data. When a fare crosses your line, a rich DingTalk post leads with the deal, its 7-day trend, and a buy-or-wait suggestion, and escalation layers add an @mention, an ntfy alert that rings through silent mode, or a voice call. ServerChan WeChat, Bark, and email reports with embedded charts run alongside, governed by quiet hours and a full send history. Routes, thresholds, scan intervals, channels, and notifications are all configured in the browser console, changes apply live without a restart, and all prices and credentials stay in local files on your server. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Flight Finder is a self-hosted tracker that watches flight, hotel, and car rental prices for you and alerts you when a fare you care about drops. Search in plain language, such as NYC to Tokyo next month under a set budget, and the app turns that request into tracked routes with flexible date ranges. Price evolution charts show how fares move over days and weeks, so you can see whether a price is genuinely cheap or just pretending. Click any point on a chart to jump straight to the airline booking page, or share the chart through a public link that needs no login. Compare carriers side by side to spot which airlines are softening prices and which are climbing. Test whether browsing from another country changes the quote with the optional VPN comparison. Track hotels by dates, rooms, and guests, follow a specific room rate or the cheapest qualifying offer, and set a target price that triggers a notification. Do the same for car rentals, comparing verified totals before you commit. Alerts arrive through Telegram, email, ntfy, webhooks, Pushover, or WhatsApp, with rules for target prices and percentage drops. Households can share one instance while each person keeps separate trackers and administrators manage assignments. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

With over 164,000 GitHub stars and one of the fastest-growing open-source projects in the AI tooling ecosystem, Firecrawl is the web context API that turns any website into clean markdown, structured JSON, or screenshots optimized for large language models. The Scrape endpoint converts a single URL into LLM-ready output with approximately 67% fewer tokens than raw HTML, handling JavaScript rendering, rotating proxies, anti-bot bypasses, and dynamic content extraction with zero configuration. The Crawl endpoint recursively scrapes entire websites from a single request with configurable depth, URL filters, and concurrent page limits. The Map endpoint discovers all URLs on a domain instantly for sitemap generation. The Search endpoint performs web searches and returns full page content from results. The Interact endpoint scrapes a page then continues working with it — clicking buttons, filling forms, and extracting dynamic content using AI prompts or code. The Agent endpoint provides autonomous web data gathering where users describe what they need in plain English. SDKs are available for Python, Node.js, Go, Rust, Ruby, PHP, Java, C#/.NET, and Elixir, with an MCP server for connecting to any AI agent or MCP client. Self-hosting deploys via Docker Compose and requires Redis and a Playwright-based browser service for JavaScript rendering. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Huginn has established itself as the definitive open-source automation engine for developers who refuse to hand their workflow data to third-party cloud services. The platform lets you build agents that scrape websites, monitor RSS feeds, track weather via APIs, watch Twitter streams, aggregate news, detect price changes, and trigger notifications through email, SMS via Twilio, Slack webhooks, or social media posts to Twitter and Tumblr. Each agent creates and consumes JSON events, propagating them along a directed graph where complex multi-step workflows emerge from simple single-purpose components. The web interface provides visual agent management with drag-and-drop scenario building, real-time event logs, scheduling controls, and a built-in agent library covering dozens of use cases out of the box. Huginn supports Liquid templating for dynamic event transformation, regex-based content extraction, JavaScript-based data manipulation, and HumanTaskAgent for crowd-sourced workflow steps. Custom agents can be packaged as Ruby gems and loaded via the ADDITIONAL_GEMS environment variable without modifying core code. Deployment options include Docker with the official huginn/huginn all-in-one image or huginn/huginn-single-process for production multi-container setups with PostgreSQL or MySQL backends, plus native support for Heroku and OpenShift PaaS platforms. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

With 3,100+ GitHub stars, CyberScraper 2077 replaces brittle CSS selectors and XPath queries with natural language data extraction powered by Large Language Models. Users paste a URL, describe the data they want in plain English, and the AI extracts structured results from any website — no HTML parsing knowledge required. The tool supports three LLM backends: OpenAI GPT models for maximum accuracy, Google Gemini for cost-effective extraction, and local Ollama instances for fully private scraping where URLs and data never leave your server. Built on Python asyncio with Playwright browser automation, it handles concurrent page fetching with content-based and query-based LRU caching to minimize redundant API calls. The Streamlit web interface runs on port 8501 and provides one-click export to JSON, CSV, HTML, SQL, Excel, and direct Google Sheets upload. Tor network integration routes requests through onion routing for anonymous scraping of both clearnet and .onion hidden service sites with automatic circuit management and stream isolation. Stealth mode randomizes user agents, manages cookies, and controls JavaScript execution timing to bypass bot detection systems. Multi-page scraping navigates through paginated results with automatic URL pattern detection. Docker deployment packages all dependencies including Playwright browsers into a single container. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

With over 16,800 GitHub stars and growing rapidly, Maxun has become the go-to open-source platform for teams who need structured web data without writing scrapers. The TypeScript-based platform provides a no-code visual recorder that captures point-and-click interactions in real-time browser sync, automatically generating reusable extraction robots that handle pagination, infinite scrolling, and dynamic content. LLM-powered extraction accepts natural language prompts like "Extract 10 companies from the Y Combinator website" without requiring a URL — Maxun identifies the source and performs the extraction autonomously. The platform handles authentication-protected pages, adapts automatically to website layout changes through self-healing selectors, and exports directly to Google Sheets, Airtable, or any destination via webhooks. Robots run on configurable schedules with cron-based timing, turning any website into a perpetually fresh RESTful API endpoint. The crawl engine discovers and processes linked pages across entire domains with configurable depth and URL filtering, while the search capability runs automated queries across multiple engines. Official Node.js and Python SDKs provide programmatic control over robot creation, execution, and data retrieval, with MCP integration enabling direct connection to AI tools like Claude. The n8n community node enables workflow automation without custom code. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPLv3 licensed.

Scoring 64.4 on the WebBench benchmark — state-of-the-art among browser automation platforms — Skyvern replaces brittle XPath-based scripts with Vision LLM reasoning that adapts when websites change their layouts. The platform extends Playwright with AI-powered page methods including page.act(), page.extract(), and page.validate() that accept natural language prompts while still supporting traditional CSS selectors as fallback. The drag-and-drop Workflow Studio offers 17+ block types including navigation, extraction, login, loops, conditionals, code blocks, file download, and file upload — enabling non-technical users to build complex multi-step automations without writing code. Self-hosted deployments support bring-your-own-LLM with OpenAI, Anthropic, Gemini, and Ollama, while the multi-engine architecture allows swapping between Skyvern 2.0, OpenAI CUA, Anthropic CUA, or UI-TARS per task with a single parameter. Built-in infrastructure handles persistent browser sessions preserving cookies and localStorage across runs, automatic CAPTCHA solving for reCAPTCHA and hCaptcha, anti-bot bypass for Cloudflare and DataDome, residential proxy rotation across 20+ countries, and a credential vault integrating with Bitwarden and 1Password for secure 2FA management. Real-time session livestreaming via WebRTC enables visual debugging, while step-by-step action logs with screenshots and full LLM diagnostic traces provide production observability. The MCP server integration exposes Skyvern as a tool for Claude, Cursor, Windsurf, and any MCP-compatible AI agent. Connect to 6,000+ apps through Zapier, Make.com, or self-hosted N8N workflows. Deploy via Docker Compose or pip install with a two-command setup. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Open Agent Builder delivers a visual canvas for orchestrating AI agent workflows without writing Python scripts or managing complex codebases. The React Flow-powered drag-and-drop interface supports seven node types — Agent, Scraper, Transform, If/Else, Loop, User Approval, and MCP Tool — each configurable with provider-specific settings for Anthropic Claude (Haiku 4.5 and Sonnet 4.5), OpenAI GPT-5, Groq, or any OpenAI-compatible endpoint. The LangGraph orchestration engine handles state management, conditional routing, and human-in-the-loop approval gates while Firecrawl integration converts any website into structured, LLM-ready data through scrape, crawl, and map operations. E2B sandboxed code execution powers Transform nodes for secure data manipulation without risking host system integrity. Real-time streaming updates show execution progress node-by-node as workflows run, with Convex providing reactive database synchronization for workflow state and execution history. The TypeScript-first architecture (96.8% TypeScript) built on Next.js 16 App Router with Tailwind CSS delivers a responsive interface across devices. Clerk handles multi-user authentication with JWT integration for secure workspace isolation. Deploy via npm install and environment configuration with Firecrawl, Convex, and Clerk API keys. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Your household's kitchen command center: shared grocery lists that sync in real-time across everyone's phones, a recipe book that imports from 500+ websites with one tap, a weekly meal planner that auto-generates shopping lists, and expense tracking that splits costs between roommates or family members. Native apps for Android, iOS, macOS, Windows, Linux, and web provide partial offline support so the list works even in store dead zones. The recipe-scrapers library with wild mode fallback handles imports from virtually any cooking site, extracting ingredients, steps, and images automatically — then converts recipe ingredients directly to shopping items with a single tap. Smart suggestions learn from your patterns over time, ordering items by your typical store route and recommending frequently purchased products. OpenID Connect authentication supports Google, Apple, Authelia, and custom providers. LLM-powered ingredient parsing uses configurable AI models for intelligent recipe text extraction. A Home Assistant integration enables voice-controlled list management via smart speakers. The REST API with a published Python client library allows third-party automation. Multi-language support covers 30+ languages through Weblate community translations. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

A recipe manager that feels like a consumer product rather than a homelab experiment: Mealie pairs a FastAPI backend with a reactive Vue frontend for the most polished self-hosted meal planning around. The killer feature is the recipe scraper: paste a URL from hundreds of supported cooking sites and Mealie imports the ingredients, steps, times, and photos automatically. Structured HTML/JSON paste, a Markdown-capable manual editor, and imports from other recipe apps (like Tandoor) cover everything else. Meal planning uses a drag-and-drop calendar with breakfast, lunch, dinner, and snack slots, plus rule-based random recipe insertion - constrain the pool by tags or categories per meal type or weekday. Shopping lists link recipes so all ingredients land in one place, organized into supermarket sections, and update in real time for everyone in the household. The multi-tenancy model is genuinely thought through: isolated Groups can host multiple tenants, and Households within a group share recipes and organizers while keeping meal plans and shopping lists private. Cookbooks group recipes by your own criteria, a cooking mode stays readable on a phone propped against the backsplash, and 35+ language translations ship built-in. A fully documented REST API and scheduled webhooks (e.g., today's meal plan to Home Assistant) make it automatable, with SQLite or PostgreSQL storage and automatic backups.