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scraping-engineering-python

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Scale Python scrapers safely to production.

Software Engineering#caching#python#concurrency#scraping#web-scraping#dynamic-content
Authorpeterbamuhigire
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Automates scaling Python web scrapers from single-file scripts to production-grade crawlers. It codifies caching, concurrency, dynamic-content handling, form interactions, and CAPTCHA strategies as reusable patterns. Provide real-world resilience by standardizing storage, resumability, and framework selection.

Core Features & Use Cases

  • Caching downloads to disk and MongoDB for resumable crawls.
  • Concurrent downloading with threading, asyncio, or multiprocessing.
  • Dynamic content handling via JSON XHR-first approaches and headless browsers as a last resort.
  • Form interaction strategies and CAPTCHA handling guidelines.
  • Guidance on choosing Scrapy vs. requests-based crawlers for multi-spider or single-site projects.

Quick Start

Run a sample crawl to validate caching, concurrency, and dynamic-content handling.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: scraping-engineering-python
Download link: https://github.com/peterbamuhigire/digital-research-skills/archive/main.zip#scraping-engineering-python

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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