Skill: web-scraping
Clean LLM-ready web scraping via Firecrawl (scrape/crawl/map/agent/search). Trigger when the user wants to extract content from a page, crawl a site, collect structured data, bypass anti-bot/JS-rendering, or perform a web search with integrated extraction. Fallback to Playwright/curl if Firecrawl is unavailable.
Configuration
| Property | Value |
|---|---|
| Context | fork |
| Pre-approved tools | None declared: the project's permission settings apply |
| Trigger | keywords: web, scraping, extract data from ..., crawl site x, fetch all articles from ..., parse this dynamic page, web research |
Detailed description
Web Scraping (Firecrawl-first)
Goal
Extract LLM-ready web content without hacking around: clean markdown, structured JSON, anti-bot and JS-rendering handled. Firecrawl is the reference wrapper; fallback to Playwright or curl + html2text if unavailable.
When to trigger this skill
- "scrape this page / this site"
- "extract data from ..."
- "crawl site X"
- "fetch all articles from ..."
- "search the web and extract the content"
- "parse this dynamic page" (site with JS-rendering)
- "bypass the paywall / anti-bot" (legitimate use only)
When NOT to use this skill
- Quick web search without structured extraction ->
WebSearchis enough - A single static URL, simple page ->
WebFetchis enough - Visual test / browser interaction -> agent-browser, or ask the user to run
/qa:qa-chrome(theqa-chromeskill is manual-only) - Form / login automation -> agent-browser or Playwright directly
Prerequisites
Option 1: Firecrawl cloud (recommended)
export FIRECRAWL_API_KEY="fc-xxx" # https://firecrawl.dev
npm install -g firecrawl-cli # the CLI (`firecrawl`); the SDKs are firecrawl / firecrawl-py
Option 2: Firecrawl self-hosted
Docker compose available on github.com/mendableai/firecrawl. Useful if data is sensitive or budget is limited.
Option 3: Fallback without Firecrawl
If Firecrawl is missing, degrade gracefully:
| Need | Fallback | Limitation |
|---|---|---|
| Simple static page | curl -sL URL | pandoc -f html -t markdown | No JS rendering |
| JS-heavy page | npx playwright + page.content() + markdownify | Heavy, 300MB+ of deps |
| Whole site | recursive filtered wget | No deduplication, no LLM-ready output |
IMPORTANT: always announce when degrading. The user must know if the content is partial (JS not rendered).
The 5 Firecrawl operations (CLI firecrawl-cli v1.25)
1. Scrape (one URL)
firecrawl scrape https://example.com/article \
--format markdown,links \
--only-main-content
Output: clean markdown (navigation / footers stripped), list of links, OG metadata.
2. Crawl (whole site)
firecrawl crawl https://docs.example.com \
--limit 100 \
--include-paths /docs \
--exclude-paths /docs/legacy \
--scrape-options '{"formats":["markdown"]}' \
--wait -o crawl.json
Output: one JSON file holding every page (markdown in each entry). Ask for confirmation before crawl > 50 pages (API costs + time).
3. Map (URL discovery)
firecrawl map https://example.com --search "pricing"
Output: list of relevant URLs. Useful BEFORE a crawl to target the right sections.
4. Agent (structured data via LLM)
firecrawl agent "Extract the plans with name, price and features" \
--urls https://example.com/pricing \
--schema-file plans.schema.json \
--max-credits 50 --wait
Output: JSON conforming to the schema. Saves hours of fragile CSS selectors. An agent job takes minutes and spends credits: always set --max-credits. (The CLI's former extract command is gone; agent replaced it.)
5. Search (search + extract in one pass)
firecrawl search "best pve proxmox backup strategies" \
--limit 10 \
--scrape --scrape-formats markdown
Output: top N results with extracted content. Replaces WebSearch + N WebFetch.
Recommended workflow
1. IDENTIFY the need
- 1 page -> scrape
- N known pages -> scrape in a loop with `xargs -P 4`
- Whole site -> map (recon) -> targeted crawl
- Structured data -> agent with a schema
- Search + extract -> search
2. ESTIMATE costs
- Firecrawl cloud: credits per page scraped
- Ask for confirmation if > 50 pages or > 10 MB expected
3. RUN with limits on the first attempt
- --limit 5 to test
- Inspect the output
- Re-run at full volume if OK
4. SAVE the result
- `./scraped/<date>/<domain>.md` by convention
- Commit if data is reusable (mind copyright)
5. CHECK legality / ethics
- Respect robots.txt unless explicitly authorized
- No personal data without consent (GDPR)
- No commercial paywall bypass
Concrete examples
Extract a lib's docs for RAG
firecrawl crawl https://docs.terraform.io/language \
--limit 200 --scrape-options '{"formats":["markdown"]}' \
--wait -o rag-corpus/terraform.json
Compare pricings of 5 competitors
firecrawl agent "Extract the pricing plans of each site" \
--urls url1,url2,url3,url4,url5 \
--schema-file pricing.schema.json \
--max-credits 100 --wait -o pricing-compared.json
Monitor a changelog
firecrawl scrape https://example.com/changelog --format markdown -o new-changelog.md
if ! diff -q new-changelog.md last-changelog.md >/dev/null 2>&1; then
diff last-changelog.md new-changelog.md # what changed
mv new-changelog.md last-changelog.md
fi
Red Flags — STOP immediately
| Signal | Reaction |
|---|---|
Missing FIRECRAWL_API_KEY AND firecrawl self-hosted not detected | Propose explicit fallback, ask the user for their choice |
robots.txt forbids scraping the target path | STOP — ask for explicit authorization before continuing |
| More than 100 pages without confirmation | STOP — announce estimated costs and wait for validation |
| Personal data detected (email, phone, ID) in the output | STOP — do not save without GDPR legal basis |
| Site with login / commercial paywall | STOP — scraping illegal except with explicit contract |
| Repeated 429 rate limit | STOP — exponential backoff, do not hammer |
Integration with the rest of the foundation
| Combo | Usage |
|---|---|
web-scraping -> dev:dev-rag | Build a corpus for RAG ingestion |
web-scraping -> biz:biz-competitor | Factual competitive & market analysis on real data |
web-scraping + writing-skills | Import third-party lib docs into a local skill |
qa-chrome instead of web-scraping | Visual tests, DOM interaction, screenshots |
Anti-patterns
- NEVER scrape without checking robots.txt AND Terms of Service
- NEVER commit scraped data without checking the rights
- NEVER launch a crawl > 50 pages without user confirmation
- NEVER use Firecrawl to replace
WebSearchfor a simple factual question (needlessly expensive) - NEVER bruteforce a site in massive parallel (max 4 workers by default)
Absolute rules
IMPORTANT: Always announce when degrading to a fallback (Playwright / curl) — the content may be partial.
IMPORTANT: Ask for confirmation before any crawl exceeding 50 pages or a site outside the user's control.
YOU MUST respect robots.txt and the target site's ToS.
YOU MUST save outputs in ./scraped/<date>/ with timestamp for traceability.
NEVER bypass an anti-bot system without documented legitimate justification.
See also
Firecrawl publishes its own skills in firecrawl/cli (13 skills, CLI v1.25.3). Not recommended next to this skill (checked 2026-10-04):
firecrawl-searchclaims "web research" andfirecrawl-scrape"read a known webpage" — the same claim as thefirecrawlrouter: installed, they route ordinary lookups to the paid API.firecrawl-searchsends search feedback after every search, including text derived from the query (opt-out:FIRECRAWL_NO_SEARCH_FEEDBACK=1, separate fromFIRECRAWL_NO_TELEMETRY=1).- They contradict this skill's own rules: output to
.firecrawl/instead of./scraped/<date>/,agentexamples without--max-credits, pricing "not an extra confirmation gate".
This skill's decision tree, free fallbacks, cost gates and legal rules only hold if it is the one that runs.
Automatic triggering
This skill is automatically activated when:
- The matching keywords are detected in the conversation
- The task context matches the skill's domain
Triggering examples
- "I want to web..."
- "I want to scraping..."
- "I want to extract data from ......"
Context fork
Fork means the skill runs as a sub-agent (context: fork):
- Sees none of the conversation, only its own instructions
- Returns its result to the conversation when done
- Kept for self-contained jobs, reviewed case by case