What makes this scraper pattern more resilient than standard scripts?

It utilizes a 4-tier fallback hierarchy—ranging from primary semantic locators to text-based regex patterns—ensuring the scraper continues to work even if the site's internal CSS structure changes.

Does this skill help with dynamic or JavaScript-heavy websites?

Yes, it includes best practices for Playwright navigation, wait states (domcontentloaded vs networkidle), and handling asynchronous loading indicators.

Why does the skill emphasize innerText over textContent?

InnerText only captures visible text as a human would see it, whereas textContent includes hidden scripts and CSS, often leading to messy data and broken regex matches.

How does this integrate with Claude Code's debugging features?

The skill provides patterns for logging which selectors were successfully used and suggests using Chrome DevTools MCP for live page inspection during the development process.

Playwright Web Scraper

Name: Playwright Web Scraper
Author: nathanvale

bynathanvale

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网络抓取与数据收集

Implements production-proven Playwright web scraping patterns with a selector-first approach and robust error handling.

关于

The Playwright Web Scraper skill equips Claude with specialized knowledge for building resilient, production-grade web scrapers and browser automation scripts. It prioritizes semantic locators over brittle CSS selectors and implements a sophisticated 4-tier fallback hierarchy to ensure data extraction remains stable even when website layouts change. By focusing on the critical differences between textContent and innerText and providing robust regex patterns for complex HTML, this skill helps developers create maintainable automation tools that thrive in dynamic web environments.

主要功能

4-tier fallback hierarchy for highly resilient data extraction
Advanced regex patterns designed for multi-line HTML text extraction
Selector-first approach using semantic locators and ARIA roles
Integrated visual debugging and selector tracking patterns
1 GitHub stars
Clean separation of concerns for scalable scraper client architecture

使用场景

Creating stable E2E browser tests that withstand minor UI updates
Developing ADHD-friendly hyperfocused scrapers with clear error reporting
Building automated data extraction pipelines for e-commerce or news sites

关于

主要功能

4-tier fallback hierarchy for highly resilient data extraction
Advanced regex patterns designed for multi-line HTML text extraction
Selector-first approach using semantic locators and ARIA roles
Integrated visual debugging and selector tracking patterns
1 GitHub stars
Clean separation of concerns for scalable scraper client architecture

使用场景

Creating stable E2E browser tests that withstand minor UI updates
Developing ADHD-friendly hyperfocused scrapers with clear error reporting
Building automated data extraction pipelines for e-commerce or news sites