scrapling skill
Scrape sites with stealth browsing and Cloudflare bypass.
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Install the scrapling skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/NousResearch/hermes-agent.git /tmp/hermes-agent mkdir -p ~/.claude/skills cp -r /tmp/hermes-agent/optional-skills/research/scrapling ~/.claude/skills/scrapling
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
Scrapling
Scrapling is a web scraping framework with anti-bot bypass, stealth browser automation, and a spider framework. It provides three fetching strategies (HTTP, dynamic JS, stealth/Cloudflare) and a full CLI.
This skill is for educational and research purposes only. Users must comply with local/international data scraping laws and respect website Terms of Service.
When to Use
- Scraping static HTML pages (faster than browser tools)
- Scraping JS-rendered pages that need a real browser
- Bypassing Cloudflare Turnstile or bot detection
- Crawling multiple pages with a spider
- When the built-in web_extract tool does not return the data you need
Installation
pip install "scrapling[all]"
scrapling installMinimal install (HTTP only, no browser):
pip install scraplingWith browser automation only:
pip install "scrapling[fetchers]"
scrapling installQuick Reference
CLI Usage
Extract Static Page
scrapling extract get 'https://example.com' output.mdWith CSS selector and browser impersonation:
scrapling extract get 'https://example.com' output.md \
--css-selector '.content' \
--impersonate 'chrome'Extract JS-Rendered Page
scrapling extract fetch 'https://example.com' output.md \
--css-selector '.dynamic-content' \
--disable-resources \
--network-idleExtract Cloudflare-Protected Page
scrapling extract stealthy-fetch 'https://protected-site.com' output.html \
--solve-cloudflare \
--block-webrtc \
--hide-canvasPOST Request
scrapling extract post 'https://example.com/api' output.json \
--json '{"query": "search term"}'Output Formats
The output format is determined by the file extension:
- .html -- raw HTML
- .md -- converted to Markdown
- .txt -- plain text
- .json / .jsonl -- JSON
Python: HTTP Scraping
Single Request
from scrapling.fetchers import Fetcher
page = Fetcher.get('https://quotes.toscrape.com/')
quotes = page.css('.quote .text::text').getall()
for q in quotes:
print(q)Session (Persistent Cookies)
from scrapling.fetchers import FetcherSession
with FetcherSession(impersonate='chrome') as session:
page = session.get('https://example.com/', stealthy_headers=True)
links = page.css('a::attr(href)').getall()
for link in links[:5]:
sub = session.get(link)
print(sub.css('h1::text').get())POST / PUT / DELETE
page = Fetcher.post('https://api.example.com/data', json={"key": "value"})
page = Fetcher.put('https://api.example.com/item/1', data={"name": "updated"})
page = Fetcher.delete('https://api.example.com/item/1')With Proxy
page = Fetcher.get('https://example.com', proxy='http://user:pass@proxy:8080')Python: Dynamic Pages (JS-Rendered)
For pages that require JavaScript execution (SPAs, lazy-loaded content):
from scrapling.fetchers import DynamicFetcher
page = DynamicFetcher.fetch('https://example.com', headless=True)
data = page.css('.js-loaded-content::text').getall()Wait for Specific Element
page = DynamicFetcher.fetch(
'https://example.com',
wait_selector=('.results', 'visible'),
network_idle=True,
)Disable Resources for Speed
Blocks fonts, images, media, stylesheets (~25% faster):
from scrapling.fetchers import DynamicSession
with DynamicSession(headless=True, disable_resources=True, network_idle=True) as session:
page = session.fetch('https://example.com')
items = page.css('.item::text').getall()Custom Page Automation
from playwright.sync_api import Page
from scrapling.fetchers import DynamicFetcher
def scroll_and_click(page: Page):
page.mouse.wheel(0, 3000)
page.wait_for_timeout(1000)
page.click('button.load-more')
page.wait_for_selector('.extra-results')
page = DynamicFetcher.fetch('https://example.com', page_action=scroll_and_click)
results = page.css('.extra-results .item::text').getall()Python: Stealth Mode (Anti-Bot Bypass)
For Cloudflare-protected or heavily fingerprinted sites:
from scrapling.fetchers import StealthyFetcher
page = StealthyFetcher.fetch(
'https://protected-site.com',
headless=True,
solve_cloudflare=True,
block_webrtc=True,
hide_canvas=True,
)
content = page.css('.protected-content::text').getall()Stealth Session
from scrapling.fetchers import StealthySession
with StealthySession(headless=True, solve_cloudflare=True) as session:
page1 = session.fetch('https://protected-site.com/page1')
page2 = session.fetch('https://protected-site.com/page2')Element Selection
All fetchers return a Selector object with these methods:
CSS Selectors
page.css('h1::text').get() # First h1 text
page.css('a::attr(href)').getall() # All link hrefs
page.css('.quote .text::text').getall() # Nested selectionXPath
page.xpath('//div[@class="content"]/text()').getall()
page.xpath('//a/@href').getall()Find Methods
page.find_all('div', class_='quote') # By tag + attribute
page.find_by_text('Read more', tag='a') # By text content
page.find_by_regex(r'\$\d+\.\d{2}') # By regex patternSimilar Elements
Find elements with similar structure (useful for product listings, etc.):
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