scrapling

Extract data from websites with anti-bot and JavaScript protections.

Updated Apr 26, 2026
One-click install
npx skills add https://github.com/dawsonblock/HERMY --skill scrapling-dawsonblock
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scrapling
Source: https://github.com/dawsonblock/HERMY/tree/main/hermes-agent-2026.4.23/optional-skills/research/scrapling
Command: npx skills add https://github.com/dawsonblock/HERMY --skill scrapling-dawsonblock

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Scraping data from sites that deploy anti-bot protections, dynamic JavaScript rendering, and complex navigation can be expensive and brittle. Scrapling provides a unified interface to fetch data across HTTP, dynamic pages, and stealth-enabled paths, plus a Spider framework to traverse sites.

Core Features & Use Cases

  • HTTP, Dynamic JS, and Stealth fetchers for flexible data retrieval
  • Spider framework for multi-page crawling with link following
  • CLI and Python API for automation and integration into data pipelines
  • Cloudflare bypass and stealth automation to access protected content

Quick Start

Install Scrapling and run a basic fetch to start extracting data from a target site.

Frequently Asked Questions about scrapling

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

FAQPage Schema
How do I scrape data from a website that uses Cloudflare anti-bot protection?

Bypass Cloudflare anti-bot protection by using stealth fetchers that mimic real browser behavior to extract data. This approach overcomes JavaScript rendering challenges to reliably scrape protected web pages.

What is the best way to extract dynamic JavaScript rendered content during web scraping?

Extract dynamic JavaScript content using specialized fetchers that render pages like a real browser. This retrieves data from HTTP and dynamic JS paths, allowing you to parse fully loaded HTML output.

Can I use a spider framework to crawl multiple pages and follow links in Python?

Yes, crawl multiple pages and follow links using an integrated spider framework. It provides a Python API to traverse sites systematically and extract data across complex navigational structures.

Does web scraping with stealth fetchers support command-line automation?

Stealth web scraping supports command-line automation through a dedicated CLI. Run fetches, manage multi-page crawling, and integrate the toolkit directly into automated data pipelines without writing Python code.

Why does my web scraper fail to extract data from pages with complex navigation?

Scrapers fail on complex navigation because standard HTTP requests cannot execute dynamic JavaScript or bypass anti-bot protections. Using stealth fetchers and a spider framework traverses and renders these sites successfully.