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scrapling

Automate web data extraction with adaptive selectors and stealth fetching.

13|2|Updated Mar 17, 2026
Search Tags:#cli#mcp#playwright#scraping#adaptive#anti-bot#web-extraction
One-click install
npx skills add https://github.com/amanning3390/hermeshub --skill scrapling-amanning3390
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scrapling
Source: https://github.com/amanning3390/hermeshub/tree/main/skills/scrapling
Command: npx skills add https://github.com/amanning3390/hermeshub --skill scrapling-amanning3390

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Scrapling eliminates brittle web data extraction by providing an adaptive, high-performance library that automatically reconstructs selectors as websites change, reducing manual maintenance.

Core Features & Use Cases

  • Adaptive element tracking that relocates targets after HTML structure changes
  • Stealth browser fetching to bypass common anti-bot protections
  • CLI tooling and MCP server integration for AI-assisted data workflows
  • Flexible CSS/XPath selectors and Python API for scalable scraping across pages and portals
  • Use Case: continuously monitor product pages to extract price, availability, and metadata across dozens of sites

Quick Start

Install scrapling and run a simple fetch to extract data from a sample page.

Frequently Asked Questions about scrapling

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does adaptive web scraping survive site structure changes?▼

Adaptive web scraping handles site changes by automatically tracking and relocating target elements when HTML structure shifts, eliminating manual selector maintenance. This ensures continuous data extraction across dynamic pages without breaking.

How do I bypass anti-bot protections when scraping dynamic web pages?▼

To bypass anti-bot protections during scraping, use Playwright-based stealth browser fetching. This approach renders dynamic pages while evading common detection mechanisms, allowing reliable data extraction from protected portals.

Can I use web extraction tools with my AI-assisted data workflows?▼

Yes, you can integrate web extraction with AI-assisted workflows using CLI tooling and MCP server integration. This enables automated fetching and data piping directly into AI pipelines for continuous monitoring and processing.

What is the best way to scrape large-scale product pages continuously?▼

The best way to scrape large-scale product pages is using a Python library with flexible CSS/XPath selectors and adaptive element tracking. This enables scalable extraction of price, availability, and metadata across dozens of sites continuously.

Do I need Python 3.8 or higher for Playwright-based stealth fetching?▼

Yes, Python 3.8 or higher is required for Playwright-based stealth fetching libraries. This environment ensures compatibility with the asynchronous browser automation needed for anti-bot circumvention and dynamic page rendering.

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