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Effortless Web Scraping for the Modern Web

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 like Cloudflare Turnstile out of the box. And its spider framework lets you scale up to concurrent, multi-session crawls with pause/resume and automatic proxy rotation — all in a few lines of Python. One library, zero compromises.

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Quick Example

Get started with Scrapling in seconds: 
from scrapling.fetchers import StealthyFetcher

StealthyFetcher.adaptive = True
# Fetch website under the radar!
page = StealthyFetcher.fetch('https://example.com', headless=True, network_idle=True)

# Scrape data that survives website design changes!
products = page.css('.product', auto_save=True)

# Later, if the website structure changes, pass `adaptive=True` to find them!
products = page.css('.product', adaptive=True)

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Key Features

Adaptive Scraping

Smart element tracking that relocates elements after website changes using intelligent similarity algorithms

Anti-Bot Bypass

Bypass Cloudflare Turnstile, CDP leaks, and other anti-bot systems out of the box with StealthyFetcher

Full Crawling Framework

Scrapy-like spider API with concurrent crawling, pause/resume, multi-session support, and streaming mode

Blazing Fast

Optimized performance outperforming most Python scraping libraries with 10x faster JSON serialization

Session Management

Persistent sessions with FetcherSession, StealthySession, and DynamicSession for state management across requests

Developer Friendly

Interactive IPython shell, complete type hints, familiar BeautifulSoup/Scrapy-like API, and auto selector generation

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Three Powerful Ways to Scrape

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1. HTTP Requests - Fast & Stealthy

Perfect for static pages and APIs. Impersonate browsers’ TLS fingerprints and use HTTP/3: 
from scrapling.fetchers import Fetcher, FetcherSession

with FetcherSession(impersonate='chrome') as session:
    page = session.get('https://quotes.toscrape.com/', stealthy_headers=True)
    quotes = page.css('.quote .text::text').getall()

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2. Dynamic Loading - Full Browser Automation

For JavaScript-heavy sites using Playwright’s Chromium: 
from scrapling.fetchers import DynamicFetcher

page = DynamicFetcher.fetch(
    'https://quotes.toscrape.com/',
    headless=True,
    disable_resources=True,
    network_idle=True
)
data = page.css('.quote .text::text').getall()

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3. Stealthy Fetching - Advanced Anti-Bot Bypass

Bypass Cloudflare and other protection systems: 
from scrapling.fetchers import StealthyFetcher

page = StealthyFetcher.fetch(
    'https://nopecha.com/demo/cloudflare',
    solve_cloudflare=True,
    headless=True
)
data = page.css('#padded_content a').getall()

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Why Choose Scrapling?

  • 92% test coverage with full type hints
  • Used daily by hundreds of web scrapers
  • Memory efficient with optimized data structures
  • Complete PyRight and MyPy validation
  • CSS selectors, XPath, regex, and text-based search
  • Smart element navigation (parent, sibling, child)
  • Auto-generate robust selectors for any element
  • Find similar elements automatically
  • Built-in MCP server for AI-assisted scraping
  • Interactive Web Scraping shell with IPython
  • Extract content without writing code
  • Convert curl requests to Scrapling

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Performance Benchmarks

Scrapling outperforms most Python scraping libraries:
LibraryText Extraction (5000 elements)vs Scrapling
Scrapling2.02 ms1.0x
Parsel/Scrapy2.04 ms1.01x
Raw Lxml2.54 ms1.26x
PyQuery24.17 ms~12x slower
BeautifulSoup (lxml)1584.31 ms~784x slower
See the full benchmarks for detailed methodology and additional comparisons.

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Next Steps

Installation

Install Scrapling and set up browsers

Quick Start

Get up and running in minutes

Choose Your Fetcher

Learn which fetcher fits your use case

Build Spiders

Scale up to full crawling

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