Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Monitor web pages for changes, price drops, stock availability, and custom conditions. Use when a user asks to watch/track/monitor a URL, get notified about...
Monitor web pages for changes, price drops, stock availability, and custom conditions. Use when a user asks to watch/track/monitor a URL, get notified about...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Watch any web page. Know when it changes.
python3 scripts/monitor.py quickstart # shows suggestions + engine status python3 scripts/monitor.py watch "https://example.com/product" python3 scripts/monitor.py check
Use quickstart on first run. It: Creates the data directory Checks which fetch engines are available (curl, cloudscraper, playwright) Returns suggestions for popular monitoring scenarios (price drops, restocks, page changes, sales) Lists available templates Shows tips for missing engines The agent can use this info to ask the user what they want to monitor and set it up for them.
Monitors web pages for content changes, price drops, and restocks Smart change summaries ("Price dropped from $389 to $331, 15% off") Visual side-by-side diffs showing exactly what changed Price history tracking with trends and sparklines Price comparison across multiple stores Templates for common setups (price drop, restock, sale) JS rendering via Playwright for dynamic sites Webhooks to Slack, Discord, or any endpoint Groups, notes, snapshots, exports No API keys. Data in ~/.web-monitor/. Uses curl by default.
The easiest way to start. Point it at a URL and it figures out the rest. python3 scripts/monitor.py watch "https://example.com/product" It detects whether it's a product page (sets up price monitoring), a stock page (watches availability), or a regular page (tracks content). No flags needed. Add options if you want more control: python3 scripts/monitor.py watch "https://example.com" --group wishlist python3 scripts/monitor.py watch "https://example.com" --browser --webhook "https://hooks.slack.com/..."
When you want full control, use add: python3 scripts/monitor.py add "https://example.com/product" \ --label "Cool Gadget" \ --condition "price below 500" \ --interval 360 \ --group "wishlist" \ --priority high \ --target 3000 \ --browser \ --webhook "https://hooks.slack.com/..." All options (work with both add and watch): --label/-l name for the monitor --selector/-s CSS selector to focus on (#price, .stock-status) --condition/-c when to alert (see Condition Syntax below) --interval/-i check interval in minutes (default: 360) --group/-g category name ("wishlist", "work") --priority/-p high, medium, or low (default: medium) --target/-t price target number --browser/-b use Playwright for JS-rendered pages --webhook/-w webhook URL, repeatable for multiple endpoints
python3 scripts/monitor.py check # check all python3 scripts/monitor.py check --id 3 # check one python3 scripts/monitor.py check --verbose # include content preview Returns status (changed/unchanged), condition info, price data, and a human-readable change summary. Examples of what summaries look like: "Price dropped from $389 to $331 (15% off). Lowest price in 30 days." "Back in stock! Was out of stock for 3 days." "New content: 'Breaking news: AI model achieves...'" When changes are detected, an HTML diff is auto-generated. The path appears in the diff_path field.
Everything at a glance. python3 scripts/monitor.py dashboard python3 scripts/monitor.py dashboard --whatsapp Shows status icons, last check time, days monitored, current prices, target progress, and browser/webhook config. Groups monitors by category.
python3 scripts/monitor.py trend 3 python3 scripts/monitor.py trend 3 --days 30 Shows direction (rising/dropping/stable), min/max/avg with dates, target progress, and a sparkline.
Compare prices across stores in a group: python3 scripts/monitor.py compare mygroup python3 scripts/monitor.py compare --all Shows cheapest to most expensive, price history, and the best deal as a percentage below average. Add a competitor to an existing monitor: python3 scripts/monitor.py add-competitor 3 "https://competitor.com/same-product" Creates a new monitor in the same group with the same condition.
Pre-built setups for common patterns. Skip the manual config. python3 scripts/monitor.py template list python3 scripts/monitor.py template use price-drop "https://example.com/product" python3 scripts/monitor.py template use restock "https://example.com/product" python3 scripts/monitor.py template use sale "https://example.com/deals" Available templates: price-drop watches for price decreases, snapshots current price as baseline restock looks for "in stock", "available", "add to cart" content-update tracks page changes with smart diff sale watches for "sale", "discount", "% off" new-release watches for new items or versions Each one pre-configures the condition, interval, and priority.
python3 scripts/monitor.py list # all monitors python3 scripts/monitor.py list --group wishlist # filter by group python3 scripts/monitor.py pause 3 # skip during checks python3 scripts/monitor.py resume 3 # re-enable python3 scripts/monitor.py remove 3 # delete
Attach notes to any monitor: python3 scripts/monitor.py note 3 "waiting for Black Friday" python3 scripts/monitor.py notes 3 Take a manual snapshot: python3 scripts/monitor.py snapshot 3 python3 scripts/monitor.py snapshot 3 --note "price before sale" View history: python3 scripts/monitor.py history 3 python3 scripts/monitor.py history 3 --limit 10
Side-by-side HTML comparison. Old on the left, new on the right. Green for additions, red for removals, yellow for changes. python3 scripts/monitor.py diff 3 python3 scripts/monitor.py screenshot 3 diff generates the comparison and opens it in your browser. screenshot saves the current content for future diffing.
Weekly summary, formatted for WhatsApp: python3 scripts/monitor.py report
python3 scripts/monitor.py groups Lists all groups with monitor counts.
The monitor uses a fetch engine to grab page content. By default (--engine auto), it tries engines in order until one works: curl -- fast, no dependencies, works on most sites cloudscraper -- handles Cloudflare JS challenges without a full browser playwright -- full headless browser for JS-heavy SPAs Check what's available on your system: python3 scripts/monitor.py engines Force a specific engine: python3 scripts/monitor.py watch "https://example.com" --engine cloudscraper python3 scripts/monitor.py add "https://example.com" --engine browser Install cloudscraper (recommended for Cloudflare-protected e-commerce sites): pip3 install cloudscraper The engine preference is saved per monitor. You can mix engines across monitors.
Sites like Amazon, Best Buy, and most SPAs load content with JavaScript. Default curl fetching won't see it. Add --browser to use Playwright's headless Chromium: python3 scripts/monitor.py watch "https://amazon.com/dp/B0EXAMPLE" --browser If Playwright isn't installed, it falls back to curl and warns you. Install with: pip3 install playwright && python3 -m playwright install chromium
Fire a JSON POST when conditions are met or content changes: python3 scripts/monitor.py add "https://example.com" --webhook "https://hooks.slack.com/services/..." Use --webhook multiple times for multiple endpoints. The payload includes monitor_id, label, url, event details (status, condition_met, change_summary, current_price), and timestamp. Webhooks fire during check whenever something triggers.
python3 scripts/monitor.py export > monitors.json python3 scripts/monitor.py import monitors.json Import skips duplicates by URL.
python3 scripts/monitor.py gui Opens ~/.web-monitor/console.html in your browser. Single self-contained HTML file. Shows all monitors, price trends, alert history, groups, and templates. Dark/light mode, filtering, sorting, sparklines. No external dependencies. Add --no-open to generate without launching.
price below 500 or price < 500 alerts when price drops below threshold price above 1000 or price > 1000 alerts when price exceeds threshold contains 'in stock' alerts when text appears on page not contains 'out of stock' alerts when text disappears
high fires an immediate alert medium is the default low gets batched into digests
Set up a cron job to check monitors regularly: Task: Check all web monitors. Run: python3 <skill_dir>/scripts/monitor.py check Report any monitors where status is "changed" or "condition_met" is true. If nothing changed, stay silent. Recommended schedule: every 6 hours (0 */6 * * *). For weekly reports, run report on Mondays.
python3 scripts/monitor.py feedback "your message" python3 scripts/monitor.py feedback --bug "something broke" python3 scripts/monitor.py feedback --idea "wouldn't it be cool if..." python3 scripts/monitor.py debug
watch is almost always the right starting point. Use add only when you need specific conditions. --selector reduces noise. If you only care about the price, point it at #price instead of the whole page. Group related monitors, then use compare to find the best deal across stores. Up to 50 snapshots per monitor are kept. Content is capped at 10KB per snapshot. Price targets show progress in both dashboard and check output. snapshot --note before a sale event gives you a clean baseline to diff against. For JS-heavy sites, --browser is not optional. It's required. Combine webhooks with Slack or Discord for real-time alerts without polling.
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Largest current source with strong distribution and engagement signals.