tianyancha-bidding-collector

天眼查招投标数据查询工具 - 基于浏览器自动化技术批量查询企业招投标/中标公示信息，导出结构化 CSV 报表。支持 macOS 和 Windows 跨平台运行。

This skill appears to do what it claims (browse Tianyancha with Puppeteer and export CSVs). Points to consider before installing/running: - npm install will fetch and install many third-party packages (including puppeteer-core). If you have security concerns, inspect package.json/package-lock and run npm install in an isolated environment (container/VM) or review packages for postinstall scripts. - The tool requires you to start Chrome with --remote-debugging-port=9222 and to log in to Tianyancha in that browser profile. While running, the debugging port exposes the browser to local connections; run it with a dedicated temporary user-data-dir (as the docs show) and avoid using your primary browser profile or accounts with sensitive sessions. - The scripts will drive your logged-in browser and may wait for you to solve CAPTCHAs or login prompts; they do not send scraped data to remote endpoints in the provided code — scraped data is saved to SKILL_DIR/data/*.csv and tool.log. - Ensure you comply with Tianyancha's terms of service and local laws regarding automated scraping and use of scraped data. If you want additional assurance, ask for a brief audit of package.json/package-lock or run the tool first in an isolated VM and confirm there are no unexpected network calls or lifecycle scripts during npm install.

Type: OpenClaw Skill Name: tianyancha-bidding-collector Version: 1.0.4 The skill bundle is a legitimate automation tool designed to scrape bidding data from the Tianyancha platform using Puppeteer. It follows a transparent execution flow where it requires the user to manually start a Chrome instance with remote debugging enabled and log in themselves, rather than attempting to steal credentials or bypass security silently. The code logic in `biddingDownload.js` and `companySearch.js` is focused on DOM interaction and data extraction, and all collected data is stored locally in CSV files as described in `SKILL.md` and `README.md`.