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Creating self-healing spiders with Scrapling in Python without AI (Web Scraping)
- Web Scraping often faces challenges like rapidly changing website structures, unstable selectors, and anti-bot measures.
- Generic Web Scraping introduces more issues, such as extreme website diversity and identifying relevant data across various websites.
- AI-based web scraping is becoming popular due to its ability to tackle these challenges efficiently.
- Scrapling, a Python library, provides an alternative approach to AI-based scraping by offering an undetectable, high-performance solution.
- Scapling's Automatch feature helps in adapting to website changes intelligently without relying on AI.
- The library offers faster parsing, lower memory usage, and a simpler API compared to BeautifulSoup.
- It introduces methods for efficient selection like finding elements by content, similarity, and filters.
- Scraping also offers browsers like PlayWrightFetcher and StealthyFetcher for undetectable scraping.
- The library provides flexible solutions for challenges like extracting specific data without using AI.
- Scrapling is continuously evolving, with plans to add features like automated pagination extraction.
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