知乎数据获取 | Zhihu Data Fetcher

知乎数据获取 - 极简设计，支持三级认证降级（Browser Profile → File Cookie → Fallback），确保数据可靠获取 Zhihu Data Fetcher - Minimalist design with three-level auth fallback (Browser Prof...

Plain-language checklist and recommendations before installing or running: - Do not run the scripts blindly. This package expects you to run Node.js scripts and Python scripts locally — ensure you have Node and Python installed and run them in a safe environment. - Remove or replace any cookie/session values that are pre-filled in config/fallback-sources.json. Treat the included cookie-like strings as potentially sensitive or stale — do not reuse them. Prefer to leave cookie fields empty and fill them yourself from a browser you control. - If you only need unauthenticated/fallback data, configure the skill to use fallback-only mode (or run only the fallback snippet) so you avoid storing session cookies altogether. - The browser console snippet (browser-research.js) collects document.cookie and other environment details. Only paste/run that code in a browser you trust and where you are comfortable exposing those values locally. Never paste it into a remote console provided by an untrusted party. - Inspect the code locally before use. The code currently performs only direct requests to zhihu.com and configured fallback URLs (e.g., GitHub raw). If you see any network calls to unknown endpoints (especially remote servers not documented in SKILL.md), stop and investigate. - Prefer running in an isolated environment (VM or throwaway container) if you plan to provide cookies from a logged-in account. That limits risk if something unexpected is present. - Ask the publisher or maintainer to: (1) declare required runtimes (Node, Python) and any other prerequisites in metadata, (2) remove any embedded session tokens from the repo, and (3) confirm whether any of the provided cookie strings are placeholders. If you want, I can extract the precise lines that read or print cookies and network URLs (so you can audit them), or produce a safer minimal command sequence that uses only the fallback source.

Type: OpenClaw Skill Name: zhihu-fetcher Version: 1.1.0 The zhihu-fetcher bundle is a well-structured tool for scraping and archiving Zhihu hot lists and search results. It features a robust three-level authentication fallback mechanism (Browser Profile, File Cookie, and Fallback Source) and includes comprehensive scripts for SQLite database management (scripts/db.py), data integration (scripts/save_to_db.py), and HTML report generation (scripts/generate_html.py). While the bundle handles sensitive session cookies and includes research scripts for analyzing anti-crawl mechanisms (snippets/browser-research.js), these behaviors are transparently documented and strictly aligned with the stated purpose of data collection. No evidence of data exfiltration to unauthorized third parties, malicious execution, or prompt injection was found.