jinan-price

Extracts and synchronizes construction material prices from the Jining API into Elasticsearch.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, requests, elasticsearch, and includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of extracting and synchronizing construction material prices from Jining, reducing manual data collection and processing time.

Core Features & Use Cases

  • Automated Data Extraction: Extracts construction material prices from a designated API.
  • Data Synchronization: Synchronizes extracted data with Elasticsearch.
  • Use Case: This Skill can be used by organizations to streamline their material price data collection process, ensuring accurate and up-to-date information.

Quick Start

Run the sync command in the directory to start the data synchronization process.

Frequently Asked Questions about jinan-price

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

FAQPage Schema
How do I automate construction material price extraction from an API into Elasticsearch?

Automating construction material price extraction involves using Python scripts with the requests library to pull data from an API and the elasticsearch library to synchronize it. This replaces manual data collection with an automated pipeline.

Can I use Python requests to synchronize construction material prices with Elasticsearch?

Yes, Python requests handles the HTTP API calls to fetch construction material prices, and the elasticsearch client stores the responses. The sync command executes this data synchronization workflow end to end.

What is the best way to integrate Jining construction material data into an Elasticsearch index?

The best way to integrate Jining construction material data into an Elasticsearch index is running the sync command provided by the Skill, which scripts data extraction and synchronization automatically using Python.

Do I need Python and Elasticsearch installed to automate construction material price synchronization?

Yes, you need Python installed along with the requests and elasticsearch libraries. Python executes the extraction scripts, requests handles the API HTTP calls, and elasticsearch manages the data storage.

Why use Elasticsearch for storing extracted construction material prices instead of a standard database?

Elasticsearch stores extracted construction material prices to enable rapid full-text search and data analysis. It synchronizes the API data efficiently for construction industry workflows requiring up-to-date material price querying.

What are the limitations of using Python scripts for API data extraction to Elasticsearch?

Using Python scripts for API data extraction to Elasticsearch is limited by the specific construction material API endpoint availability and the script's design. It does not handle unrelated data formats or non-Elasticsearch storage targets.