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게시자의 자체 명령입니다. PlugMCP 엔드포인트가 아닙니다.
Host a copy with our keys and logs.
uvx scrapling==0.5.1Claude Code에는 로컬 명령용 설치 링크가 없습니다. 아래 명령을 복사해 터미널에서 실행합니다.
claude mcp add io.github.d4vinci-scrapling -- uvx scrapling==0.5.1터미널에서 실행합니다.
{ "mcpServers": { "io.github.d4vinci-scrapling": { "command": "uvx", "args": [ "scrapling==0.5.1" ] } }}claude_desktop_config.json
원격 URL인가요, 내 컴퓨터에서 실행하는 명령인가요? 두 설치 방식의 차이
PlugMCP에서 실행
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
실행게시자 제공
Its parser learns from website changes and automatically relocates your elements when pages update. Its fetchers bypass anti-bot systems like Cloudflare Turnstile out of the box. And its spider framework lets you scale up to concurrent, multi-session crawls with pause/resume, automatic proxy rotation, and a crawl speed that adapts to how fast each website responds and backs off when it starts blocking you - all in a few lines of Python. One library, zero compromises.
Blazing fast crawls with real-time stats and streaming. Built by Web Scrapers for Web Scrapers and regular users, there's something for everyone.
from scrapling.fetchers import Fetcher, AsyncFetcher, StealthyFetcher, DynamicFetcher
StealthyFetcher.adaptive = True
p = StealthyFetcher.fetch('https://example.com', headless=True, network_idle=True) # Fetch website under the radar!
products = p.css('.product', auto_save=True) # Scrape data that survives website design changes!
products = p.css('.product', adaptive=True) # Later, if the website structure changes, pass `adaptive=True` to find them!
Or scale up to full crawls
from scrapling.spiders import Spider, Response
class MySpider(Spider):
name = "demo"
start_urls = ["https://example.com/"]
async def parse(self, response: Response):
for item in response.css('.product'):
yield {"title": item.css('h2::text').get()}
MySpider().start()
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start_urls, async parse callbacks, and Request/Response objects.async for item in spider.stream() with real-time stats - ideal for UI, pipelines, and long-running crawls.Retry-After asks) whenever the website starts blocking or rate-limiting you, and speeds back up once it stops.robots_txt_obey flag that respects Disallow, Crawl-delay, and Request-rate directives with per-domain caching.parse() logic without re-hitting the target servers.CrawlSpider for rule-based link following, SitemapSpider for sitemap/robots.txt-driven crawls, XMLFeedSpider/CSVFeedSpider for iterating XML/RSS and CSV feeds, and ShopifySpider to pull every product out of any Shopify store through its JSON API, one item per variant.LinkExtractor primitive with allow/deny patterns, domain filters, CSS/XPath scoping, extension filtering, and canonicalization - use it inside the templates or on its own.result.items.to_json(), to_jsonl(), to_csv(), and to_xml().Fetcher class. Can impersonate browsers' TLS fingerprint, headers, and use HTTP/3.DynamicFetcher class supporting Playwright's Chromium and Google's Chrome.StealthyFetcher and fingerprint spoofing. Can easily bypass all types of Cloudflare's Turnstile/Interstitial with automation.FetcherSession, StealthySession, and DynamicSession classes for cookie and state management across requests.ProxyRotator with cyclic or custom rotation strategies across all session types, plus per-request proxy overrides.cdp_url, whether it's on the same machine, another host, or a managed browser provider. You can also point any browser fetcher at your own Chromium build with executable_path.capture_xhr, and all matching XHR/fetch responses the page makes while loading are collected for you as Response objects in response.captured_xhr - grab a site's API data without reverse-engineering the requests yourself.page.markdown()), or crawl a whole website into a Markdown corpus with the SiteToMarkdownSpider template, all without an LLM in the loop. (docs)scrapling_response to parse the responses you already fetch with Scrapling's parser, no rewrite needed.Let's give you a quick glimpse of what Scrapling can do without deep diving.
HTTP requests with session support
from scrapling.fetchers import Fetcher, FetcherSession
with FetcherSession(impersonate='chrome') as session: # Use latest version of Chrome's TLS fingerprint
page = session.get('https://quotes.toscrape.com/', stealthy_headers=True)
quotes = page.css('.quote .text::text').getall()
# Or use one-off requests
page = Fetcher.get('https://quotes.toscrape.com/')
quotes = page.css('.quote .text::text').getall()
Advanced stealth mode
from scrapling.fetchers import StealthyFetcher, StealthySession
with StealthySession(headless=True, solve_cloudflare=True) as session: # Keep the browser open until you finish
page = session.fetch('https://nopecha.com/demo/cloudflare', google_search=False)
data = page.css('#padded_content a').getall()
# Or use one-off request style, it opens the browser for this request, then closes it after finishing
page = StealthyFetcher.fetch('https://nopecha.com/demo/cloudflare')
data = page.css('#padded_content a').getall()
Full browser automation
from scrapling.fetchers import DynamicFetcher, DynamicSession
with DynamicSession(headless=True, disable_resources=False, network_idle=True) as session: # Keep the browser open until you finish
page = session.fetch('https://quotes.toscrape.com/', load_dom=False)
data = page.xpath('//span[@class="text"]/text()').getall() # XPath selector if you prefer it
# Or use one-off request style, it opens the browser for this request, then closes it after finishing
page = DynamicFetcher.fetch('https://quotes.toscrape.com/')
data = page.css('.quote .text::text').getall()
Build full crawlers with concurrent requests, multiple session types, and pause/resume:
from scrapling.spiders import Spider, Request, Response
class QuotesSpider(Spider):
name = "quotes"
start_urls = ["https://quotes.toscrape.com/"]
concurrent_requests = 10
async def parse(self, response: Response):
for quote in response.css('.quote'):
yield {
"text": quote.css('.text::text').get(),
"author": quote.css('.author::text').get(),
}
next_page = response.css('.next a')
if next_page:
yield response.follow(next_page[0].attrib['href'])
result = QuotesSpider().start()
print(f"Scraped {len(result.items)} quotes")
result.items.to_json("quotes.json")
Use multiple session types in a single spider:
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():
# Route protected pages through the stealth session
if "protected" in link:
yield Request(link, sid="stealth")
else:
yield Request(link, sid="fast", callback=self.parse) # explicit callback
Pause and resume long crawls with checkpoints by running the spider like this:
QuotesSpider(crawldir="./crawl_data").start()
Press Ctrl+C to pause gracefully - progress is saved automatically. Later, when you start the spider again, pass the same crawldir, and it will resume from where it stopped.
Or skip writing the crawling logic altogether with the ready-made templates, like pulling an entire Shopify store's catalog:
from scrapling.spiders import ShopifySpider
class MyStore(ShopifySpider):
target_website = "example.com"
result = MyStore().start() # Every product in the store, one item per variant
from scrapling.fetchers import Fetcher
# Rich element selection and navigation
page = Fetcher.get('https://quotes.toscrape.com/')
# Get quotes with multiple selection methods
quotes = page.css('.quote') # CSS selector
quotes = page.xpath('//div[@class="quote"]') # XPath
quotes = page.find_all('div', {'class': 'quote'}) # BeautifulSoup-style
# Same as
quotes = page.find_all('div', class_='quote')
quotes = page.find_all(['div'], class_='quote')
quotes = page.find_all(class_='quote') # and so on...
# Find element by text content
quotes = page.find_by_text('quote', tag='div')
# Advanced navigation
quote_text = page.css('.quote')[0].css('.text::text').get()
quote_text = page.css('.quote').css('.text::text').getall() # Chained selectors
first_quote = page.css('.quote')[0]
author = first_quote.next_sibling.css('.author::text')
parent_container = first_quote.parent
# Element relationships and similarity
similar_elements = first_quote.find_similar()
below_elements = first_quote.below_elements()
You can use the parser right away if you don't want to fetch websites like below:
from scrapling.parser import Selector
page = Selector("<html>...</html>")
And it works precisely the same way!
import asyncio
from scrapling.fetchers import FetcherSession, AsyncStealthySession, AsyncDynamicSession
async with FetcherSession(http3=True) as session: # `FetcherSession` is context-aware and can work in both sync/async patterns
page1 = session.get('https://quotes.toscrape.com/')
page2 = session.get('https://quotes.toscrape.com/', impersonate='firefox135')
# Async session usage
async with AsyncStealthySession(max_pages=2) as session:
tasks = []
urls = ['https://example.com/page1', 'https://example.com/page2']
for url in urls:
task = session.fetch(url)
tasks.append(task)
print(session.get_pool_stats()) # Optional - The status of the browser tabs pool (busy/free/error)
results = await asyncio.gather(*tasks)
print(session.get_pool_stats())
Scrapling includes a powerful command-line interface:
Launch the interactive Web Scraping shell
scrapling shell
Extract pages to a file directly without programming (Extracts the content inside the body tag by default). If the output file ends with .txt, then the text content of the target will be extracted. If it ends in .md, it will be a Markdown representation of the HTML content; if it ends in .html, it will be the HTML content itself.
scrapling extract get 'https://example.com' content.md
scrapling extract get 'https://example.com' content.txt --css-selector '#fromSkipToProducts' --impersonate 'chrome' # All elements matching the CSS selector '#fromSkipToProducts'
scrapling extract fetch 'https://example.com' content.md --css-selector '#fromSkipToProducts' --no-headless
scrapling extract stealthy-fetch 'https://nopecha.com/demo/cloudflare' captchas.html --css-selector '#padded_content a' --solve-cloudflare
[!NOTE] There are many additional features, but we want to keep this page concise, including the MCP server and the interactive Web Scraping Shell. Check out the full documentation here
Scrapling isn't just powerful-it's also blazing fast. The following benchmarks compare Scrapling's parser with the latest versions of other popular libraries.
Scrapling's adaptive element finding capabilities significantly outperform alternatives:
All benchmarks represent averages of 100+ runs. See benchmarks.py for methodology.
Scrapling requires Python 3.10 or higher:
pip install scrapling
[!IMPORTANT] This installation only includes the parser engine and its dependencies, without any fetchers or commandline dependencies. So importing anything from
scrapling.fetchersorscrapling.spiders, like in the examples above, will raiseModuleNotFoundErrorwith this installation alone. If you are going to use any of the fetchers or spiders, install the fetchers' dependencies first as shown below.
If you are going to use any of the extra features below, the fetchers, or their classes, you will need to install fetchers' dependencies and their browser dependencies as follows:
pip install "scrapling[fetchers]"
scrapling install # normal install
scrapling install --force # force reinstall
This downloads all browsers, along with their system dependencies and fingerprint manipulation dependencies.
Or you can install them from the code instead of running a command like this:
from scrapling.cli import install
install([], standalone_mode=False) # normal install
install(["--force"], standalone_mode=False) # force reinstall
Extra features:
pip install "scrapling[ai]"
pip install "scrapling[rag]"
extract command):
pip install "scrapling[shell]"
pip install "scrapling[all]"
Remember that you need to install the browser dependencies with scrapling install after any of these extras (if you didn't already)
You can also install a Docker image with all extras and browsers with the following command from DockerHub:
docker pull pyd4vinci/scrapling
Or download it from the GitHub registry:
docker pull ghcr.io/d4vinci/scrapling:latest
This image is automatically built and pushed using GitHub Actions and the repository's main branch.
We welcome contributions! Please read our contributing guidelines before getting started.
[!CAUTION] This library is provided for educational and research purposes only. By using this library, you agree to comply with local and international data scraping and privacy laws. The authors and contributors are not responsible for any misuse of this software. Always respect the terms of service of websites and robots.txt files.
If you have used our library for research purposes please quote us with the following reference:
@misc{scrapling,
author = {Karim Shoair},
title = {Scrapling},
year = {2024},
url = {https://github.com/D4Vinci/Scrapling},
note = {An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!}
}
This work is licensed under the BSD-3-Clause License.
This project includes code adapted from:
Web scraping with stealth HTTP, real browsers, and Cloudflare bypass. CSS selectors supported.
{ "mcpServers": { "io.github.d4vinci-scrapling": { "command": "uvx", "args": [ "scrapling==0.5.1" ] } }}개요
Effortless Web Scraping for the Modern Web Selection methods · Fetchers · Spiders · Proxy Rotation · CLI · MCP Scrapling is an adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl. Its parser learns from website changes and automatically relocates your elements when pages update. Its fetchers bypass anti-bot systems
도구
아직 도구 목록이 없습니다. 원격 서버는 첫 상태 확인 후에 도구 목록이 생깁니다.
FAQ
이 페이지에서 Cursor, Claude Desktop, Claude Code 또는 VS Code용 stdio 설정을 복사합니다. PlugMCP 프록시가 아니라 게시자의 설치 방식을 사용합니다.
이 레코드에는 필수 환경 변수가 등록되어 있지 않습니다.
Scrapling MCP Server은(는) stdio를 통해 로컬에서 실행됩니다.
마지막 확인: 2026-11-12. Effortless Web Scraping for the Modern Web Selection methods · Fetchers · Spiders · Proxy Rotation · CLI · MCP Scrapling is an adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl. Its parser learns from website changes and automatically relocates your elements when pages update. Its fetchers bypass anti-bot systems