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.

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.

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.

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.

Xianyu SaaS runs all of your Xianyu (Goofish) shops from one self-hosted console, answering buyers with AI, delivering digital goods the moment orders verify, and keeping every store isolated in its own process. Add each shop by scanning a QR code in the Xianyu app, then switch between stores from one header while the overview tracks messages, replies, delivery results, orders, and pending tasks. The AI customer service center lets you pick a service persona, write shop-wide reply requirements in plain language, and maintain a separate knowledge entry for every product, covering audience, specifications, usage, delivery notes, and after-sales wording. Keyword rules answer the repetitive questions first, with product-specific rules outranking store-wide ones, and anything unmatched falls through to the AI with product knowledge and chat history in context. When a buyer pays, the system re-checks the platform order before delivering, drawing card keys one to fifty at a time from named pools, sending netdisk resources, or posting fixed text instructions, with a five-minute sweep catching orders missed while a shop was offline. A conversation workbench lets you search chats, take over from the AI with one click, send up to eight queued images, and jump from any order straight into the buyer's thread. A built-in operations agent manages a shop through chat, updating product knowledge, toggling reply rules, or binding delivery stock on request. 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.

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.

ntfy sends push notifications to your phone or desktop with a single curl command: publish a message to any topic and every subscriber receives it instantly, no signup or API key required. Over 31,000 GitHub stars and 106 releases since 2021 back a server supporting five priority levels mapped to distinct notification sounds and vibration patterns, emoji tags for visual classification, click actions that open URLs when tapped, and up to three action buttons per notification for view, HTTP callback, broadcast, or clipboard copy operations. File attachments push images from surveillance cameras, documents, or any binary payload directly to mobile devices. Subscriptions work through JSON streams, Server-Sent Events, WebSockets, or raw text, with server-side filtering by priority, tags, and message ID. Authentication enforces topic-level access control through Basic Auth, Bearer tokens, or query parameters, with a built-in user and ACL management system. UnifiedPush compatibility lets ntfy serve as a push distributor for Mastodon, Matrix, and other federated services. Web Push via VAPID keys delivers browser notifications without the mobile app. The server ships as a single statically linked Go binary or Docker image supporting amd64, armv7, and arm64 architectures, consuming 30-50 MB RAM at idle with SQLite-backed message caching. Integrations include Grafana, Prometheus Alertmanager, Uptime Kuma, Home Assistant, and Ansible Semaphore. 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 / GPLv2 dual-licensed.

One REST call, 130+ notification services: Apprise API wraps the well-known Apprise library in a lightweight Django/Gunicorn microservice, so "send an alert" works the same whether it goes to Slack, Discord, Telegram, Teams, email, SMS, Pushover, or PagerDuty - each addressed by a simple URL scheme. It solves the credential-sprawl problem cleanly: instead of embedding provider tokens in every app, cron job, and CI pipeline, you centralize them here and everything else just POSTs a body and title. Two modes cover every workflow. Stateless calls to /notify carry target URLs in the payload (or fall back to a default set via APPRISE_STATELESS_URLS); stateful mode stores named configurations server-side under keys, so /notify/{KEY} fans out to everything registered - with tag-based routing (comma for OR, space for AND) selecting which endpoints fire per message. Messages take info, success, warning, or failure types in text, Markdown, or HTML, with attachments up to a configurable size. A built-in web UI manages and tests configurations, APPRISE_CONFIG_LOCK makes the store read-only, service allow/deny lists restrict which schemes work, webhook remapping adapts third-party payloads, and a Prometheus /metrics endpoint watches the gateway itself.

Sell from your own server with a store that arrives as a single file: myCart pairs a public storefront and an admin panel with checkout, and there is no plugin ecosystem to assemble first. You manage products with variants that track their own inventory, pricing, and SKUs, and you can sell physical goods, downloadable files, and license keys from the same catalog. Checkout accepts Stripe and PayPal for cards and wallets, SpectroCoin and Coinbase Commerce for cryptocurrency, and a built-in dummy provider that processes free products with no payment setup at all. Buyers can check out as guests or register for a customer cabinet that keeps their orders, re-downloadable files, and issued license keys in one place. The storefront ships in eight languages, English, Chinese, Korean, French, Spanish, German, Italian, and Belarusian, with the language switcher available in both the shop and the admin panel. You upload your own logo, favicon, and tagline from the admin panel and the storefront adopts them immediately with no rebuild. The whole shop runs on an embedded SQLite database with nothing else to operate, or on PostgreSQL when you need concurrent writers and managed backups. Built-in HTTPS support and hardened, separately keyed sessions protect the panel and the customer cabinet. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Why rent your own shop from a platform that takes a cut and sets the rules? Openfront runs the whole store, storefront and back office together, on a server you own. Customers get a fast, mobile-responsive store where they can browse the catalog, open product pages with variants, fill a cart, check out, create an account, and follow their orders. You get the dashboard behind it: products and variants, orders and fulfillment, customers, payments through Stripe and PayPal, shipping integrations, and the everyday work of running a store without ten browser tabs. Stock is tracked across multiple locations with movements and backorders, so a warehouse and a shop floor stop disagreeing about what exists. Gift cards run their full life from creation to redemption, returns and refunds follow a proper claims workflow instead of an email thread, and discounts can be simple codes or automated campaigns. Selling abroad is built in, with multiple currencies and regional pricing, while analytics and reporting show what is actually selling. When clicking through menus is slower than saying it, the built-in AI assistant can add products, change prices, and configure regions from a chat, working inside your own logged-in permissions so it can only do what your role allows. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.