
Scrapling
- 15 installs
- 226k repo stars
- Updated August 5, 2026
- nousresearch/hermes-agent
Helps with ai & agent building tasks.
About
scrapling is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.
- scrapling
- AI & Agent Building
- AI-coding skill
Scrapling by the numbers
- 15 all-time installs (skills.sh)
- Ranked #11,165 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 15 |
|---|---|
| repo stars | ★ 226k |
| Last updated | August 5, 2026 |
| Repository | nousresearch/hermes-agent ↗ |
What it does
Helps with ai & agent building tasks.
Files
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_extracttool 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
| Approach | Class | Use When |
|---|---|---|
| HTTP | Fetcher / FetcherSession | Static pages, APIs, fast bulk requests |
| Dynamic | DynamicFetcher / DynamicSession | JS-rendered content, SPAs |
| Stealth | StealthyFetcher / StealthySession | Cloudflare, anti-bot protected sites |
| Spider | Spider | Multi-page crawling with link following |
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.):
first_product = page.css('.product')[0]
all_similar = first_product.find_similar()Navigation
el = page.css('.target')[0]
el.parent # Parent element
el.children # Child elements
el.next_sibling # Next sibling
el.prev_sibling # Previous siblingPython: Spider Framework
For multi-page crawling with link following:
from scrapling.spiders import Spider, Request, Response
class QuotesSpider(Spider):
name = "quotes"
start_urls = ["https://quotes.toscrape.com/"]
concurrent_requests = 10
download_delay = 1
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(),
"tags": quote.css('.tag::text').getall(),
}
next_page = response.css('.next a::attr(href)').get()
if next_page:
yield response.follow(next_page)
result = QuotesSpider().start()
print(f"Scraped {len(result.items)} quotes")
result.items.to_json("quotes.json")Multi-Session Spider
Route requests to different fetcher types:
from scrapling.fetchers import FetcherSession, AsyncStealthySession
class SmartSpider(Spider):
name = "smart"
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", callback=self.parse)Pause/Resume Crawling
spider = QuotesSpider(crawldir="./crawl_checkpoint")
spider.start() # Ctrl+C to pause, re-run to resume from checkpointPitfalls
- Browser install required: run
scrapling installafter pip install -- without it,DynamicFetcherandStealthyFetcherwill fail - Timeouts: DynamicFetcher/StealthyFetcher timeout is in milliseconds (default 30000), Fetcher timeout is in seconds
- Cloudflare bypass:
solve_cloudflare=Trueadds 5-15 seconds to fetch time -- only enable when needed - Resource usage: StealthyFetcher runs a real browser -- limit concurrent usage
- Legal: always check robots.txt and website ToS before scraping. This library is for educational and research purposes
- Python version: requires Python 3.10+