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Firecrawl Monitor

Organization
firecrawl
firecrawl-monitor

Alert by webhook/email on web changes — use for "monitor/watch/track/alert me when": recurring checks on known URLs (prefer over repeated one-off scrapes) or web-wide watches for new results (queries + goal).

Overview

Publisherfirecrawl
Repositorycli
Skill namefirecrawl-monitor
Stars
642
Forks
110
Bundled files
2
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by firecrawl on GitHub. Read the source before you install it.

Installation

Install the Firecrawl Monitor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/firecrawl/cli/tree/main/skills/firecrawl-monitor
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/firecrawl/cli.git /tmp/cli
mkdir -p .claude/skills
cp -r /tmp/cli/skills/firecrawl-monitor .claude/skills/firecrawl-monitor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Firecrawl Monitor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Firecrawl Monitor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Firecrawl Monitor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

firecrawl monitor

Detect when content on a website changes and get notified by webhook or email. Firecrawl handles fetching, diffing, judging, and notifying server-side. Each page in a check is labeled same, new, changed, removed, or error.

Pick a target mode by what you're watching:

ModeFlagsWatches
Single page--page <url>one URL, for changes
URL batch--scrape-urls <url,url,...>several URLs, for changes
Whole site--crawl-url <root-url>every page a crawl discovers, for changes
Web search--queries <q,...> + --goalthe whole web, for new results matching the goal

The first three watch URLs you already have. Web search runs your queries each check and alerts on results it hasn't seen before (labeled new once, same on later checks); --goal is required with --queries.

Quick start

bash
# Single page, natural-language schedule, email alert
firecrawl monitor create --name "Blog" --schedule "every 30 minutes" \
  --goal "Alert when a new blog post is published." \
  --page https://example.com/blog \
  --email alerts@example.com

# Web monitor — search the whole web for NEW results matching a goal
firecrawl monitor create --name "Competitor launches" --schedule "daily at 9:00" \
  --queries "competitor product launch,competitor funding round" \
  --goal "Alert when a competitor announces a new product or raises funding." \
  --search-window 7d --max-results 20 \
  --email alerts@example.com

# Webhook notifications
firecrawl monitor create --name "Docs webhook" --schedule "every 30 minutes" \
  --goal "Alert when docs content changes." \
  --page https://example.com/docs \
  --webhook-url https://example.com/hook \
  --webhook-events monitor.page,monitor.check.completed

# Manage and inspect
firecrawl monitor list --limit 20
firecrawl monitor get <monitorId>
firecrawl monitor run <monitorId>             # trigger a check now
firecrawl monitor checks <monitorId>          # list all checks
firecrawl monitor check <monitorId> <checkId> --page-status changed
firecrawl monitor update <monitorId> --state paused
firecrawl monitor delete <monitorId>

Subcommands: create | list | get | update | delete | run | checks | check. Run firecrawl monitor <subcommand> --help for the full option list.

Done when: create returns a monitor ID and a smoke-test run + check confirms the expected target, state, and notification configuration.

Read goals.md when writing or refining --goal (and --queries for web monitors). Read json-tracking.md when the user cares about specific structured fields (price, headline, stock flag) and wants per-field diffs.

Constraints & tips

  • Each check uses credits for its underlying scrape, crawl, or search, plus optional judging. See Monitoring pricing.
  • Minimum schedule interval is 5 minutes. Monitoring is not available for zero-data-retention teams.
  • Prefer one monitor over repeated one-off scrapes whenever the user wants the same URL checked more than once.
  • Silence temporarily with update --state paused; reserve delete for monitors that are permanently done. (--state is an update flag; --status is the global CLI status flag.)
  • Filter check pages with --page-status changed (or new, removed, error) to skip the noise from same pages.
  • firecrawl monitor run <id> triggers a check immediately — useful for smoke-testing a monitor right after creating it.
  • --retention-days controls how long snapshots are kept for diffing. Lower it for high-frequency monitors to save storage.
  • External email recipients must opt in. First time they're added, Firecrawl sends a confirmation email and they only receive alerts after they confirm. Team-owned addresses are auto-confirmed. Once a recipient unsubscribes, they must be re-added by the owner for a fresh confirmation email.
  • On HTTP 429 / rate-limit errors, back off once: wait ~30s and retry once. If it persists, stop, report the rate limit as the blocking reason, and delete any monitors created for this task. Never retry in a loop.
  • Monitor-triggered scrapes default maxAge to 0 — every check performs a fresh scrape unless scrapeOptions.maxAge is set explicitly in a JSON payload.

See also

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Firecrawl Monitor AI skill do?

Alert by webhook/email on web changes — use for "monitor/watch/track/alert me when": recurring checks on known URLs (prefer over repeated one-off scrapes) or web-wide watches for new results (queries + goal).

Why use Firecrawl Monitor on TypingMind?

Because you install it once and use it with any model. Firecrawl Monitor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Firecrawl Monitor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/firecrawl/cli/tree/main/skills/firecrawl-monitor. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Firecrawl Monitor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Firecrawl Monitor?

As many as you like. As long as a model supports skills, you can use Firecrawl Monitor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Firecrawl Monitor AI skill free?

It is published on GitHub by firecrawl. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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