scrapling
Scrapling is an undetectable, powerful, flexible, high-performance Python library that makes Web Scraping easy and effortless as it should be!
Decision gist · record as of 2026-08-14
Yes. Scrapling is actively maintained, has low install friction, carries a permissive BSD license, and addresses real modern web scraping pain points (anti-bot bypass, adaptive parsing, concurrent crawling). The recent release, high star count, and zero known vulnerabilities indicate a mature, well-tested library. Install it if you need to scrape protected or dynamic websites at scale; skip it if you only need simple static HTML parsing.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Browser-based fetchers (StealthyFetcher, DynamicFetcher) require a local Chromium/Chrome installation or a remote CDP endpoint.
- Low install friction with a pure-Python wheel and six lightweight runtime dependencies.
License · maintenance · safety
permissive license (permissive) — BSD 3-Clause License permits commercial and private use with minimal restrictions—you may use, modify, and distribute the code provided you retain the license notice and disclaimer.
last release 2026-08-10 (4 days) · last repo commit 2026-08-11 · 73,959 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 966,081 downloads/mo, #4,620 on PyPI
Alternatives
Verify before relying
pip install scrapling
from scrapling.fetchers import StealthyFetcher
p = StealthyFetcher.fetch('https://example.com', headless=True)
products = p.css('.product', adaptive=True)- Whether adaptive element relocation works reliably across different website redesigns in production.
- Performance characteristics and memory usage when running concurrent crawls at scale.
- Specific anti-bot systems reliably bypassed beyond Cloudflare Turnstile (e.g., Akamai, DataDome).
What it is and what it does
Scrapling is a web scraping framework designed to handle both simple single-page requests and large-scale concurrent crawls. It combines HTTP fetchers (with stealth and anti-bot capabilities), a Scrapy-like spider API for structured crawling, and adaptive parsing that learns from website changes and automatically relocates elements when page layouts shift. The framework includes built-in support for proxy rotation, session management, pause/resume checkpointing, and export to JSON, CSV, and XML.
The package targets modern web scraping challenges: it claims to bypass Cloudflare Turnstile out of the box, supports headless browser automation via Playwright, and provides both synchronous and asynchronous APIs. Its spider framework handles concurrent requests with per-domain throttling, robots.txt compliance, and automatic retry logic for blocked requests. Runtime dependencies are minimal (lxml, cssselect, orjson, tld, w3lib, typing_extensions), keeping the base installation lightweight.
Use it for
- Scrape product listings from e-commerce sites that use Cloudflare protection or dynamic content loading.
- Build a full-scale web crawler with concurrent requests, automatic proxy rotation, and pause/resume capability.
- Extract data from Shopify stores using the built-in ShopifySpider template to iterate products via JSON API.
- Iterate over XML feeds, RSS, or CSV sources with ready-made feed spider templates.
- Monitor website changes by using adaptive parsing to relocate elements after design updates without rewriting selectors.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Scrapling is actively maintained, has low install friction, carries a permissive BSD license, and addresses real modern web scraping pain points (anti-bot bypass, adaptive parsing, concurrent crawling). The recent release, high star count, and zero known vulnerabilities indicate a mature, well-tested library. Install it if you need to scrape protected or dynamic websites at scale; skip it if you only need simple static HTML parsing.
Install
scrapling on PyPI
Before you install
Low install friction with a pure-Python wheel and six lightweight runtime dependencies. The package is actively maintained with a recent release (4 days old) and substantial community engagement (73959 stars), suggesting stable, well-tested code.
Requires Python 3.10 or later. Browser-based fetchers (StealthyFetcher, DynamicFetcher) require a local Chromium/Chrome installation or a remote CDP endpoint.
License in practice
BSD 3-Clause License permits commercial and private use with minimal restrictions—you may use, modify, and distribute the code provided you retain the license notice and disclaimer.
Quickstart
pip install scrapling
from scrapling.fetchers import StealthyFetcher
p = StealthyFetcher.fetch('https://example.com', headless=True)
products = p.css('.product', adaptive=True)
Verify before relying
- Whether adaptive element relocation works reliably across different website redesigns in production.
- Performance characteristics and memory usage when running concurrent crawls at scale.
- Specific anti-bot systems reliably bypassed beyond Cloudflare Turnstile (e.g., Akamai, DataDome).
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packageslxmlcssselectorjsontldw3libtyping_extensions |
| Maintenance | Actively maintained 4 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 966,081 / month, #4,620 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: Information TechnologyLicense :: OSI Approved :: BSD LicenseNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: Implementation :: CPythonTopic :: Internet :: WWW/HTTPTopic :: Internet :: WWW/HTTP :: BrowsersTopic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Software Development :: LibrariesTopic :: Software Development :: Libraries :: Application FrameworksTopic :: Software Development :: Libraries :: Python ModulesTopic :: Text Processing :: MarkupTopic :: Text Processing :: Markup :: HTMLTyping :: Typed |
Evidence: scrapling-0.4.14-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “cloudflare bypass scraper”
- scraplingScrapling is a web scraping and crawling framework that handles…
- cloudscraperBypasses Cloudflare's anti-bot protection by automatically solving…
- 2captcha-pythonA Python client for the 2Captcha API that automates captcha solving…
Give your agent the search over MCP, or paste the wish link into any chat.
More Libraries packages
urllib3 is an HTTP client library that provides thread-safe connection pooling, SSL/TLS verification, multipart file uploads, request retries, compression support, and proxy handling for Python applications.
Requests is a Python HTTP library that simplifies sending HTTP/1.1 requests with automatic handling of headers, authentication, cookies, and response parsing.
Pluggy provides a plugin system that lets you define hook specifications and register implementations to be called in sequence, enabling extensible Python applications without tight coupling.
Install it if you're building an extensible application or framework.
Provides parsing, arithmetic, and recurrence rule computation for dates and times, with timezone support and iCalendar RFC compliance.
Install it if you need to parse flexible date strings, compute relative dates, handle timezones, or work with recurrence rules—it's the de facto choice for these tasks.
Six provides utility functions to write Python code that runs on both Python 2.7 and Python 3.3+, smoothing over language differences between the two versions.
pytest is a testing framework that lets you write test functions using plain assert statements and automatically discovers and runs them, with detailed failure reporting.
See also crawlee · Scrapy · scrapydo · free-proxy · python-jobspy · Crawl4AI · wrapper-tls-requests · zenrows · spider-client · scrapfly-sdk