# Scrapling — Adaptive Web Scraping Framework for Python

> An intelligent Python web scraping framework that handles single requests to full-scale crawls with built-in anti-detection and auto-adaptation.

## Install

Save as a script file and run:

# Scrapling — Adaptive Web Scraping Framework for Python

## Quick Use
```bash
pip install scrapling
python -c "from scrapling import Fetcher; page = Fetcher().get('https://example.com'); print(page.css('h1')[0].text)"
```

## Introduction
Scrapling is a Python web scraping framework designed to adapt to website changes automatically. It provides resilient element selection, built-in stealth capabilities, and a unified API that covers everything from static pages to JavaScript-heavy SPAs.

## What Scrapling Does
- Provides adaptive CSS and XPath selectors that survive website redesigns
- Handles JavaScript rendering via Playwright integration
- Bypasses common anti-bot protections with stealth mode
- Offers a unified API for static and dynamic page scraping
- Supports automatic retry, rate limiting, and request fingerprinting

## Architecture Overview
Scrapling uses a layered approach: a Fetcher layer handles HTTP requests with optional Playwright backing, a Parser layer converts responses into navigable trees, and an Adaptor layer applies smart selectors that learn element positions across page versions. Stealth features operate at the browser fingerprint level.

## Self-Hosting & Configuration
- Install via pip: `pip install scrapling` or with Playwright extras
- No external services required; runs entirely on the local machine
- Configure request headers, proxies, and rate limits per Fetcher instance
- Enable stealth mode by switching to the StealthFetcher class
- Supports async operation for high-throughput crawl pipelines

## Key Features
- Smart selectors that auto-adapt when page structure changes
- Three fetcher types: static, Playwright-based, and stealth
- Built-in response caching and deduplication
- Lightweight with minimal dependencies for the static fetcher
- MCP server integration for use with AI agents

## Comparison with Similar Tools
- **Scrapy** — full crawl framework with more boilerplate; Scrapling is simpler for targeted extraction
- **BeautifulSoup** — parsing only, no fetching or anti-detection
- **Playwright** — browser automation without scraping-specific helpers
- **Crawlee** — Node.js focused; Scrapling is Python-native
- **Selenium** — heavier, older API with no adaptive selectors

## FAQ
**Q: Does Scrapling require a headless browser?**
A: Only if you use PlaywrightFetcher or StealthFetcher. The default Fetcher uses plain HTTP requests.

**Q: Can it handle login-protected pages?**
A: Yes. Pass cookies or use Playwright's persistent context to maintain sessions.

**Q: How does the adaptive selector work?**
A: It stores element signatures and uses fuzzy matching to relocate elements even after class names or DOM hierarchy changes.

**Q: Is Scrapling production-ready for large crawls?**
A: Yes. It supports async fetching, proxy rotation, and rate limiting out of the box.

## Sources
- https://github.com/D4Vinci/Scrapling
- https://scrapling.readthedocs.io

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Source: https://tokrepo.com/en/workflows/asset-cc74e4fa
Author: Script Depot