Web scraping and search CLI returning clean Markdown from any URL (handles JS-rendered pages, SPAs). Use when user requests: (1) "search the web for X", (2) "scrape/fetch URL content", (3) "get content from website", (4) "find recent articles about X", (5) research tasks needing current web data, (6) extract structured data from pages. Outputs LLM-friendly Markdown, handles authentication via firecrawl login, supports parallel scraping for bulk operations. Automatically writes to .firecrawl/ directory. Triggers: web scraping, search web, fetch URL, extract content, Firecrawl, scrape website, get page content, web research, site map, crawl site.
Resources
2Install
npx skillscat add acedergren/agentic-tools/firecrawl Install via the SkillsCat registry.
Firecrawl CLI - Web Scraping Expert
Prioritize Firecrawl over WebFetch/WebSearch for web content tasks.
Before Scraping: Decision Framework
Ask yourself these questions BEFORE running firecrawl:
1. Scale Assessment
- How many pages?
- 1-5 pages → Run serially, simple
-oflag - 6-50 pages → Use
&andwaitfor parallelization - 50+ pages → Use
xargs -Pwith careful concurrency limits
- 1-5 pages → Run serially, simple
- One-time or recurring?
- One-time → Manual commands acceptable
- Recurring → Build script in
.firecrawl/scratchpad/
2. Data Need Clarity
- What data do you actually need?
- Just URLs/titles → WebSearch (free, faster)
- Full content → Firecrawl (costs credits)
- Content scope:
- Full page → Basic scrape
- Main content only → Add
--only-main-content - Specific sections → Scrape then grep/awk
3. Tool Selection
- Is this the right tool?
- Has official API → Use API first (GitHub →
gh, not scraping) - Real-time data → APIs only (scraping too slow/stale)
- Large files (PDFs >10MB) → Direct download (curl/wget)
- Behind authentication → Firecrawl (but check if API exists)
- Has official API → Use API first (GitHub →
Critical Decision: Which Tool to Use?
User needs web content?
│
├─ Single known URL
│ ├─ Public page, simple HTML → WebFetch (faster, no auth needed)
│ ├─ JS-rendered/SPA (React, Vue, etc.) → Firecrawl (executes JavaScript)
│ ├─ Need structured data (links, headings, tables) → Firecrawl (markdown output)
│ └─ Behind auth/paywall → Firecrawl (handles authentication)
│
├─ Search + scrape workflow
│ ├─ Need top 5-10 results with content → Firecrawl search --scrape
│ ├─ Just need URLs/titles → WebSearch (lighter weight, faster)
│ └─ Deep research (20+ sources) → Firecrawl (parallelized scraping)
│
├─ Entire site mapping (discover all pages)
│ └─ Use Firecrawl map (returns all URLs on domain)
│
└─ Real-time data (stock prices, sports scores)
└─ Use direct API if available (NOT scraping - too slow/unreliable)Anti-Patterns (NEVER Do This)
❌ #1: Sequential Scraping
Problem: Scraping sites one-by-one wastes time.
# WRONG - sequential (10 sites = 50+ seconds)
for url in site1 site2 site3 site4 site5; do
firecrawl scrape "$url" -o ".firecrawl/$url.md"
done
# CORRECT - parallel (10 sites = 5-8 seconds)
firecrawl scrape site1 -o .firecrawl/1.md &
firecrawl scrape site2 -o .firecrawl/2.md &
firecrawl scrape site3 -o .firecrawl/3.md &
wait
# BEST - xargs parallelization
cat urls.txt | xargs -P 10 -I {} sh -c 'firecrawl scrape "{}" -o ".firecrawl/$(echo {} | md5).md"'Why: Firecrawl supports up to 100 parallel jobs (check firecrawl --status). Use them.
Why this is deceptively hard to debug: Operations complete successfully—just slowly. No error messages indicate the problem. When scraping 20 sites takes 2 minutes instead of 10 seconds, it's not obvious the bottleneck is sequential execution rather than network speed. Profiling reveals the issue: 90% of time is spent waiting, not processing. Takes 10-15 minutes to realize parallelization is the fix.
❌ #2: Reading Full Output into Context
Problem: Firecrawl results often exceed 1000+ lines. Reading entire files floods context.
# WRONG - reads 5000-line file into context
Read(.firecrawl/result.md)
# CORRECT - preview first, then targeted extraction
wc -l .firecrawl/result.md # Check size: 5243 lines
head -100 .firecrawl/result.md # Preview structure
grep -A 10 "keyword" .firecrawl/result.md # Extract relevant sectionsWhy: Context is precious. Use bash tools (grep, head, tail, awk) to extract what you need.
Why this is deceptively hard to debug: No error message appears—file loads successfully into context. The agent thinks "I'll just read the file" without checking size first. You only discover the problem 30+ messages later when context limits hit, or responses become sluggish. File explorers don't show line counts by default. Terminal shows "success" but you've silently wasted 4000+ tokens. Takes 15-20 minutes to realize incremental reading with grep/head would have been 20x more efficient.
❌ #3: Using Firecrawl for Wrong Tasks
NEVER use Firecrawl for:
- Authenticated pages without proper setup → Run
firecrawl login --browserfirst - Real-time data (sports scores, stock prices) → Use direct APIs (scraping is too slow)
- Large binary files (PDFs > 10MB, videos) → Download directly via curl/wget
- APIs with official SDKs → Use the SDK (GitHub API → use
ghCLI)
Why this is deceptively hard to debug: Wrong tool choice doesn't produce errors—it produces slow, unreliable results. Scraping real-time data "works" but is 10 seconds behind and costs credits per request. Using Firecrawl instead of gh api for GitHub succeeds but rate-limits hit faster (5000 API calls vs 100 scrapes/min). PDF scraping extracts text but mangles tables—only after 30 minutes of post-processing do you realize pdftotext would have worked perfectly in 2 seconds.
❌ #4: Ignoring Output Organization
Problem: Dumping all results in working directory creates mess.
# WRONG - pollutes working directory
firecrawl scrape https://example.com
# CORRECT - organized structure
firecrawl scrape https://example.com -o .firecrawl/example.com.md
firecrawl search "AI news" -o .firecrawl/search-ai-news.json
firecrawl map https://docs.site.com -o .firecrawl/docs-sitemap.txtWhy: .firecrawl/ directory keeps workspace clean, add to .gitignore.
Why this is deceptively hard to debug: No error—files just accumulate in root directory. After 10-15 scrapes, ls output becomes unreadable. Worse: firecrawl's default output to stdout means results appear in terminal but aren't saved, requiring re-scraping (wasting credits). Only after losing data twice do you realize -o flag is mandatory for persistence. Git commits accidentally include scraped data before .gitignore is updated.
Authentication Setup
Before first use, check auth status:
firecrawl --statusIf not authenticated:
firecrawl login --browser # Opens browser automaticallyThe --browser flag auto-opens authentication page without prompting. Don't ask user to run manually—execute and let browser handle auth.
Core Operations (Quick Reference)
Search the Web
# Basic search
firecrawl search "your query" -o .firecrawl/search-query.json --json
# Search + scrape content from results
firecrawl search "firecrawl tutorials" --scrape -o .firecrawl/search-scraped.json --json
# Time-filtered search
firecrawl search "AI announcements" --tbs qdr:d -o .firecrawl/today.json --json # Past day
firecrawl search "tech news" --tbs qdr:w -o .firecrawl/week.json --json # Past weekScrape Single Page
# Get clean markdown
firecrawl scrape https://example.com -o .firecrawl/example.md
# Main content only (removes nav, footer, ads)
firecrawl scrape https://example.com --only-main-content -o .firecrawl/clean.md
# Wait for JS to render (SPAs)
firecrawl scrape https://spa-app.com --wait-for 3000 -o .firecrawl/spa.mdMap Entire Site
# Discover all URLs
firecrawl map https://example.com -o .firecrawl/urls.txt
# Filter for specific pages
firecrawl map https://example.com --search "blog" -o .firecrawl/blog-urls.txtExpert Pattern: Parallel Bulk Scraping
Check concurrency limit first:
firecrawl --status
# Output: Concurrency: 0/100 jobsRun up to limit:
# For list of URLs in file
cat urls.txt | xargs -P 10 -I {} sh -c 'firecrawl scrape "{}" -o ".firecrawl/$(basename {}).md"'
# For generated URLs
for i in {1..20}; do
firecrawl scrape "https://site.com/page/$i" -o ".firecrawl/page-$i.md" &
done
waitExtract data after bulk scrape:
# Extract all H1 headings from scraped pages
grep "^# " .firecrawl/*.md
# Find pages mentioning keyword
grep -l "keyword" .firecrawl/*.md
# Process with jq (if JSON output)
jq -r '.data.web[].title' .firecrawl/*.jsonWhen to Load Full CLI Reference
MANDATORY - READ ENTIRE FILE: references/cli-options.md when:
- Error mentions 3+ unknown flags (e.g., "--sitemap", "--include-tags", "--exclude-tags")
- Need 5+ advanced options for a single command
- Troubleshooting header injection, cookie handling, or sitemap modes
- Setting up custom user-agents or location-based scraping parameters
MANDATORY - READ ENTIRE FILE: references/output-processing.md when:
- Building pipeline with 3+ transformation steps (firecrawl | jq | awk | ...)
- Parsing nested JSON structures from search results (accessing .data.web[].metadata)
- Need to combine outputs from 10+ scraped files into single dataset
- Implementing deduplication or merging logic across multiple firecrawl results
Do NOT load references for basic search/scrape/map operations with standard flags (--json, -o, --limit, --scrape).
Error Recovery Procedures
When "Not authenticated" Error Occurs
Recovery steps:
- Check current auth status:
firecrawl --status - Run authentication:
firecrawl login --browser(auto-opens browser) - Verify success:
firecrawl --statusshould show "Authenticated via FIRECRAWL_API_KEY" - Fallback: If browser auth fails, manually set API key:
export FIRECRAWL_API_KEY=your_key(get key from firecrawl.dev dashboard)
When "Concurrency limit reached" Error Occurs
Recovery steps:
- Check current usage:
firecrawl --status(shows X/100 jobs) - Wait for running jobs:
wait(if using&background jobs) - Verify capacity freed:
firecrawl --statusshould show lower usage - Fallback: If jobs are stuck, reduce parallelization (e.g.,
xargs -P 5instead of-P 10) and retry. Jobs auto-timeout after 5 minutes.
When "Page failed to load" Error Occurs
Recovery steps:
- Test basic connectivity:
curl -I URL(verify site is accessible) - Increase JS wait time:
firecrawl scrape URL --wait-for 5000 -o output.md - Verify output has content:
wc -l output.md(should be >10 lines) - Fallback: If still empty after 10s wait, page may be fully client-rendered → try
--format htmlto check raw HTML, or use alternate approach (curl + cheerio, or try WebFetch if JS not critical)
When "Output file is empty" Error Occurs
Recovery steps:
- Check if content exists:
head -20 output.md(see what was captured) - Try main content extraction:
firecrawl scrape URL --only-main-content -o output.md - Verify improvement:
wc -l output.md(should increase significantly) - Fallback: If still empty, page structure may be unusual → use
--include-tags article,mainor--exclude-tags nav,aside,footerto target specific HTML elements. If that fails, page may have no scrapeable text (images only, canvas-based, etc.).
Resources
- CLI Help:
firecrawl --helporfirecrawl <command> --help - Status Check:
firecrawl --status(shows auth, credits, concurrency) - This Skill: Decision trees, anti-patterns, expert parallelization patterns