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, 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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🔄 Multi-Session Support: Unified interface for HTTP requests, and stealthy headless browsers in a single spider - route requests to different sessions by ID.
💾 Pause & Resume: Checkpoint-based crawl persistence. Press Ctrl+C for a graceful shutdown; restart to resume from where you left off.
📡 Streaming Mode: Stream scraped items as they arrive via async for item in spider.stream() with real-time stats - ideal for UI, pipelines, and long-running crawls.
🛡️ Blocked Request Detection: Automatic detection and retry of blocked requests with customizable logic.
🚦 AutoThrottle: Stop guessing delays. The spider tunes the delay of each domain on its own from how fast the website responds, then doubles it (or waits what Retry-After asks) whenever the website starts blocking or rate-limiting you, and speeds back up once it stops.
🤖 Robots.txt Compliance: Optional robots_txt_obey flag that respects Disallow, Crawl-delay, and Request-rate directives with per-domain caching.
🧪 Development Mode: Cache responses to disk on the first run and replay them on subsequent runs - iterate on your parse() logic without re-hitting the target servers.
🧩 Ready-made Spider Templates: Skip the boilerplate with 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.
🔗 Link Extraction: A standalone LinkExtractor primitive with allow/deny patterns, domain filters, CSS/XPath scoping, extension filtering, and canonicalization - use it inside the templates or on its own.
📦 Built-in Export: Export results through hooks and your own pipeline or the built-in JSON/JSONL/CSV/XML exporters with result.items.to_json(), to_jsonl(), to_csv(), and to_xml().
HTTP Requests: Fast and stealthy HTTP requests with the Fetcher class. Can impersonate browsers' TLS fingerprint, headers, and use HTTP/3.
Dynamic Loading: Fetch dynamic websites with full browser automation through the DynamicFetcher class supporting Playwright's Chromium and Google's Chrome.
Anti-bot Bypass: Advanced stealth capabilities with StealthyFetcher and fingerprint spoofing. Can easily bypass all types of Cloudflare's Turnstile/Interstitial with automation.
Session Management: Persistent session support with FetcherSession, StealthySession, and DynamicSession classes for cookie and state management across requests.
Proxy Rotation: Built-in ProxyRotator with cyclic or custom rotation strategies across all session types, plus per-request proxy overrides.
Domain & Ad Blocking: Block requests to specific domains (and their subdomains) or enable built-in ad blocking (~3,500 known ad/tracker domains) in browser-based fetchers.
DNS Leak Prevention: Optional DNS-over-HTTPS support to route DNS queries through Cloudflare's DoH, preventing DNS leaks when using proxies.
Remote Browsers: Instead of launching a browser locally, connect to one that's already running through CDP with 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.
Background API Capture: Pass a URL pattern to 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.
Async Support: Complete async support across all fetchers and dedicated async session classes.
🤖 MCP Server: Let AI chatbots and agents (Claude/Cursor/etc) scrape through Scrapling with one-shot or session-based tools covering plain HTTP requests (any method), browser fetches, and stealth fetches that bypass Cloudflare. Pages are narrowed with CSS selectors and stripped of prompt-injection content before the AI sees them, so the agent reads less, costs less, and can't be hijacked by hidden text. Screenshots, remote browsers over CDP, and a secure-by-default HTTP transport are included. (demo video)
🧠 Agent Skill: A ready-to-install Agent Skill that teaches coding agents the whole library, so the code they write with Scrapling matches the current API instead of guessing.
📚 RAG-ready Markdown: Turn any page into clean, sanitized, LLM-ready Markdown with one line (page.markdown()), or crawl a whole website into a Markdown corpus with the SiteToMarkdownSpider template, all without an LLM in the loop. (docs)
🚀 Lightning Fast: Optimized performance outperforming most Python scraping libraries.
🔋 Memory Efficient: Optimized data structures and lazy loading for a minimal memory footprint.
⚡ Fast JSON Serialization: 10x faster than the standard library.
🏗️ Battle tested: Not only does Scrapling have 92% test coverage and full type hints coverage, but it has been used daily by hundreds of Web Scrapers over the past year.
🎯 Interactive Web Scraping Shell: Optional built-in IPython shell with Scrapling integration, shortcuts, and new tools to speed up Web Scraping scripts development, like converting curl requests to Scrapling requests and viewing requests results in your browser.
🚀 Use it directly from the Terminal: Optionally, you can use Scrapling to scrape a URL without writing a single line of code!
🛠️ Rich Navigation API: Advanced DOM traversal with parent, sibling, and child navigation methods.
🧬 Enhanced Text Processing: Built-in regex, cleaning methods, and optimized string operations.
📝 Auto Selector Generation: Generate robust CSS/XPath selectors for any element.
🔌 Familiar API: Similar to Scrapy/BeautifulSoup with the same pseudo-elements used in Scrapy/Parsel.
🤝 Drop-in Scrapy Integration: Already invested in Scrapy? Decorate any callback with scrapling_response to parse the responses you already fetch with Scrapling's parser, no rewrite needed.
📘 Complete Type Coverage: Full type hints for excellent IDE support and code completion. The entire codebase is automatically scanned with PyRight and MyPy with each change.
🔋 Ready Docker image: With each release, a Docker image containing all browsers is automatically built and pushed.
Note
Docker limits prevented us from making the page longer, including the full spider options, the spider templates, the MCP server, and the interactive Web Scraping Shell. Check out the full documentation [here](https://scrapling.readthedocs.io/en/latest/)
