rizhao-price

Collects, processes, and synchronizes Rizhao City engineering material price data to Elasticsearch.

Updated May 22, 2026
One-click install
npx skills add https://github.com/pengfit/cjt-skills --skill rizhao-price
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rizhao-price
Source: https://github.com/pengfit/cjt-skills/tree/main/rizhao-price
Command: npx skills add https://github.com/pengfit/cjt-skills --skill rizhao-price

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires playwright, requests, beautifulsoup4, pyyaml, elasticsearch, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the collection of engineering material price information for Rizhao City, China, saving you time and effort in manually scraping and processing data.

Core Features & Use Cases

  • Automated Data Collection: Automatically scrape and collect material price information from a government website.
  • ETL Processing: Perform ETL (Extract, Transform, Load) processing to clean and prepare the data for analysis.
  • Data Synchronization: Synchronize the processed data to an Elasticsearch index for further analysis or visualization.
  • Use Case: If you are a construction company in Rizhao City and need access to the latest material prices, this Skill can help you automate the process of collecting and analyzing this data.

Quick Start

Use the rizhao-price skill to sync the latest material price information for Rizhao City.

Frequently Asked Questions about rizhao-price

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

FAQPage Schema
How do I automate web scraping and ETL processing for construction material prices?

Automating web scraping and ETL processing for construction material prices involves using Playwright to extract data from government websites, transforming it with Python libraries, and loading it into Elasticsearch for analysis.

What is the best way to sync scraped material price data to an Elasticsearch index?

The best way to sync scraped material price data to an Elasticsearch index is through automated ETL processing that extracts raw data via web scraping, transforms it for consistency, and loads it directly into the index.

Do I need Playwright and Python libraries to collect engineering material price information?

Yes, you need Playwright and Python libraries like requests, beautifulsoup4, pyyaml, and elasticsearch to collect engineering material price information and automate the synchronization process effectively.

Can I use this automated data collection process for construction companies outside Rizhao City?

This automated data collection process is specifically designed for engineering material price information for Rizhao City, China, and may require modifications to target different government websites for other locations.

How does ETL processing handle data collected from government website scraping?

ETL processing handles data collected from government website scraping by extracting the raw material price information, transforming it into a clean structured format, and loading it into an Elasticsearch index for analysis.