Collect Bunjang product listings into structured JSON files.
npx skills add https://github.com/seolcoding/k-parent-skill --skill bunjang-search-seolcoding
Please help me install this Agent Skill. Skill: bunjang-search Source: https://github.com/seolcoding/k-parent-skill/tree/main/bunjang-search Command: npx skills add https://github.com/seolcoding/k-parent-skill --skill bunjang-search-seolcoding
Manually searching Bunjang for products, collecting multiple listings across pages, and preparing data for analysis is slow and tedious, especially when tracking price trends or researching used goods for resale or evaluation.
Use the bunjang-search skill to collect 50 recent iPhone listings from Bunjang across 5 pages and save them as a structured JSON file for price trend analysis.
High-intent search queries and answers about installing and using this skill.
The bunjang-search Skill automates collection of Bunjang product listings, retrieving price, description, seller info, and status. It eliminates manual browsing by gathering multi-page search results into structured JSON files for offline analysis.
Yes, you can export Bunjang marketplace data for AI analysis. The Skill generates TOON format chunks optimized for AI model evaluation and analysis from the retrieved secondhand product listings.
Yes, the bunjang-cli npm utility is required. The Skill enforces CLI-first execution to automate the retrieval, collection, and structured export of Bunjang secondhand marketplace data.
The best way to track price fluctuations of used goods on Korean marketplaces is to bulk collect Bunjang search results into structured JSON files. This enables offline tracking of price trends and identification of profitable resale deals.
Yes, Bunjang data scraping supports managing favorites and chats. It handles these optional account actions for logged-in users via interactive TTY sessions.
NomaDamasAutomate Bunjang marketplace search and export results as JSON or AI-analysis TOON chunks.
mupengi-botFetch HTML from URLs and extract structured data into JSON or Markdown.
modu-aiCompress structured data into TOON format to reduce LLM token usage.
nexscope-aiSearch and analyze 1688 wholesale product listings via the NexScope API.
