Extract and synchronize Hainan engineering cost material data to Elasticsearch.
npx skills add https://github.com/pengfit/cjt-skills --skill hainan-price
Please help me install this Agent Skill. Skill: hainan-price Source: https://github.com/pengfit/cjt-skills/tree/main/hainan-price Command: npx skills add https://github.com/pengfit/cjt-skills --skill hainan-price
This Skill automates the process of extracting and synchronizing Hainan's engineering cost material information, saving time and reducing manual errors in data collection and processing.
To start the Skill, navigate to the 'hainan-price' directory and run the following command: ./run.sh sync.
High-intent search queries and answers about installing and using this skill.
You can extract construction material information from Hainan government websites by running the sync command, which uses Python requests and beautifulsoup4 to fetch and parse the data, then synchronizes it to Elasticsearch for analysis.
Elasticsearch synchronization for engineering cost data works by taking the extracted material information parsed via beautifulsoup4 and indexing it directly into an Elasticsearch cluster, making the latest material prices available for real-time querying.
Yes, you need Python installed along with the beautifulsoup4, requests, pyyaml, and elasticsearch libraries to scrape Hainan engineering cost data, as the automation script depends on these specific packages for extraction and synchronization.
This automated data extraction is specifically configured for Hainan's engineering cost material information sources, so applying it to construction industry material prices outside Hainan would require modifying the target URLs and parsing logic within the scripts.
The best way to automate ETL processes for construction industry material information is using a dedicated script that combines web scraping with Elasticsearch synchronization, ensuring extracted material prices are automatically updated without manual data collection errors.
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