Skill: devbd1/scrapling-web-scraping (version 1.2.0)

--- name: scrapling-mcp description: Advanced web scraping with Scrapling — MCP-native guidance for extraction, crawling, and anti-bot handling. Use via mcporter (MCP) to call the `scrapling` MCP server for execution; this skill provides strategy, recipes, and best practices. --- # Scrapling MCP — Web Scraping Guidance > **Guidance Layer + MCP Integration** > Use this skill for **strategy and patterns**. For execution, call Scrapling's MCP server via `mcporter`. ## Quick Start (MCP) ### 1. Install Scrapling with MCP support ```bash pip install scrapling[mcp] # Or for full features: pip install scrapling[mcp,playwright] python -m playwright install chromium ``` ### 2. Add to OpenClaw MCP config ```json { "mcpServers": { "scrapling": { "command": "python", "args": ["-m", "scrapling.mcp"] } } } ``` ### 3. Call via mcporter ``` mcporter call scrapling fetch_page --url "https://example.com" ``` ## Execution vs Guidance | Task | Tool | Example | |------|------|---------| | Fetch a page | **mcporter** | `mcporter call scrapling fetch_page --url URL` | | Extract with CSS | **mcporter** | `mcporter call scrapling css_select --selector ".title::text"` | | Which fetcher to use? | **This skill** | See "Fetcher Selection Guide" below | | Anti-bot strategy? | **This skill** | See "Anti-Bot Escalation Ladder" | | Complex crawl patterns? | **This skill** | See "Spider Recipes" | ## Fetcher Selection Guide ``` ┌─────────────────┐ ┌──────────────────┐ ┌──────────────────┐ │ Fetcher │────▶│ DynamicFetcher │────▶│ StealthyFetcher │ │ (HTTP) │ │ (Browser/JS) │ │ (Anti-bot) │ └─────────────────┘ └──────────────────┘ └──────────────────┘ Fastest JS-rendered Cloudflare, Static pages SPAs, React/Vue Turnstile, etc. ``` ### Decision Tree 1. **Static HTML?** → `Fetcher` (10-100x faster) 2. **Need JS execution?** → `DynamicFetcher` 3. **Getting blocked?** → `StealthyFetcher` 4. **Complex session?** → Use Session variants ### MCP Fetch Modes - `fetch_page` — HTTP fetcher - `fetch_dynamic` — Browser-based with Playwright - `fetch_stealthy` — Anti-bot bypass mode ## Anti-Bot Escalation Ladder ### Level 1: Polite HTTP ```python # MCP call: fetch_page with options { "url": "https://example.com", "headers": {"User-Agent": "..."}, "delay": 2.0 } ``` ### Level 2: Session Persistence ```python # Use sessions for cookie/state across requests FetcherSession(impersonate="chrome") # TLS fingerprint spoofing ``` ### Level 3: Stealth Mode ```python # MCP: fetch_stealthy StealthyFetcher.fetch( url, headless=True, solve_cloudflare=True, # Auto-solve Turnstile network_idle=True ) ``` ### Level 4: Proxy Rotation See `references/proxy-rotation.md` ## Adaptive Scraping (Anti-Fragile) Scrapling can **survive website redesigns** using adaptive selectors: ```python # First run — save fingerprints products = page.css('.product', auto_save=True) # Later runs — auto-relocate if DOM changed products = page.css('.product', adaptive=True) ``` **MCP usage:** ``` mcporter call scrapling css_select \\ --selector ".product" \\ --adaptive true \\ --auto-save true ``` ## Spider Framework (Large Crawls) When to use Spiders vs direct fetching: - ✅ **Spider**: 10+ pages, concurrency needed, resume capability, proxy rotation - ✅ **Direct**: 1-5 pages, quick extraction, simple flow ### Basic Spider Pattern ```python from scrapling.spiders import Spider, Response class ProductSpider(Spider): name = "products" start_urls = ["https://example.com/products"] concurrent_requests = 10 download_delay = 1.0 async def parse(self, response: Response): for product in response.css('.product'): yield { "name": product.css('h2::text').get(), "price": product.css('.price::text').get(), "url": response.url } # Follow pagination next_page = response.css('.next a::attr(href)').get() if next_page: yield response.follow(next_page) # Run with resume capability result = ProductSpider(crawldir="./crawl_data").start() result.items.to_jsonl("products.jsonl") ``` ### Advanced: Multi-Session Spider ```python from scrapling.spiders import Spider, Request, Response from scrapling.fetchers import FetcherSession, AsyncStealthySession class MultiSessionSpider(Spider): name = "multi" start_urls = ["https://example.com/"] def configure_sessions(self, manager): manager.add("fast", FetcherSession(impersonate="chrome")) manager.add("stealth", AsyncStealthySession(headless=True), lazy=True) async def parse(self, response: Response): for link in response.css('a::attr(href)').getall(): if "/protected/" in link: yield Request(link, sid="stealth") else: yield Request(link, sid="fast") ``` ### Spider Features - **Pause/Resume**: `crawldir` parameter saves checkpoints - **Streaming**: `async for item in spider.stream()` for real-time processing - **Auto-retry**: Configurable retry on blocked requests - **Export**: Built-in `to_json()`, `to_jsonl()` ## CLI & Interactive Shell ### Terminal Extraction (No Code) ```bash # Extract to markdown scrapling extract get 'https://example.com' content.md # Extract specific element scrapling extract get 'https://example.com' content.txt \\ --css-selector '.article' \\ --impersonate 'chrome' # Stealth mode scrapling extract stealthy-fetch 'https://protected.com' content.md \\ --no-headless \\ --solve-cloudflare ``` ### Interactive Shell ```bash scrapling shell # Inside shell: >>> page = Fetcher.get('https://example.com') >>> page.css('h1::text').get() >>> page.find_all('div', class_='item') ``` ## Parser API (Beyond CSS/XPath) ### BeautifulSoup-Style Methods ```python # Find by attributes page.find_all('div', {'class': 'product', 'data-id': True}) page.find_all('div', class_='product', id=re.compile(r'item-\\d+')) # Text search page.find_by_text('Add to Cart', tag='button') page.find_by_regex(r'\\$\\d+\\.\\d{2}') # Navigation first = page.css('.product')[0] parent = first.parent siblings = first.next_siblings children = first.children # Similarity similar = first.find_similar() # Find visually/structurally similar elements below = first.below_elements() # Elements below in DOM ``` ### Auto-Generated Selectors ```python # Get robust selector for any element element = page.css('.product')[0] selector = element.auto_css_selector() # Returns stable CSS path xpath = element.auto_xpath() ``` ## Proxy Rotation ```python from scrapling.spiders import ProxyRotator # Cyclic rotation rotator = ProxyRotator([ "http://proxy1:8080", "http://proxy2:8080", "[REDACTED_SECRET]" ], strategy="cyclic") # Use with any session with FetcherSession(proxy=rotator.next()) as session: page = session.get('https://example.com') ``` ## Common Recipes ### Pagination Patterns ```python # Page numbers for page_num in range(1, 11): url = f"https://example.com/products?page={page_num}" ... # Next button while next_page := response.css('.next a::attr(href)').get(): yield response.follow(next_page) # Infinite scroll (DynamicFetcher) with DynamicSession() as session: page = session.fetch(url) page.scroll_to_bottom() items = page.css('.item').getall() ``` ### Login Sessions ```python with StealthySession(headless=False) as session: # Login login_page = session.fetch('https://example.com/login') login_page.fill('input[name="username"]', 'user') login_page.fill('input[name="password"]', 'pass') login_page.click('button[type="submit"]') # Now session has cookies protected_page = session.fetch('https://example.com/dashboard') ``` ### Next.js Data Extraction ```python # Extract JSON from __NEXT_DATA__ import json import re next_data = json.loads( re.search( r'__NEXT_DATA__" type="application/json">(.*?)</script>', page.html_content, re.S ).group(1) ) props = next_data['props']['pageProps'] ``` ## Output Formats ```python # JSON (pretty) result.items.to_json('output.json') # JSONL (streaming, one per line) result.items.to_jsonl('output.jsonl') # Python objects for item in result.items: print(item['title']) ``` ## Performance Tips 1. **Use HTTP fetcher when possible** — 10-100x faster than browser 2. **Impersonate browsers** — `impersonate='chrome'` for TLS fingerprinting 3. **HTTP/3 support** — `FetcherSession(http3=True)` 4. **Limit resources** — `disable_resources=True` in Dynamic/Stealthy 5. **Connection pooling** — Reuse sessions across requests ## Guardrails (Always) - Only scrape content you're authorized to access - Respect robots.txt and ToS - Add delays (`download_delay`) for large crawls - Don't bypass paywalls or authentication without permission - Never scrape personal/sensitive data ## References - `references/mcp-setup.md` — Detailed MCP configuration - `references/anti-bot.md` — Anti-bot handling strategies - `references/proxy-rotation.md` — Proxy setup and rotation - `references/spider-recipes.md` — Advanced crawling patterns - `references/api-reference.md` — Quick API reference - `references/links.md` — Official docs links ## Scripts - `scripts/scrapling_scrape.py` — Quick one-off extraction - `scripts/scrapling_smoke_test.py` — Test connectivity and anti-bot indicators


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)