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Scrapeless LLM Chat Scraper Skill
作者
scrapeless
· GitHub ↗
· v1.0.0
· MIT-0
211
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install scrapeless-llm-chat-scraper-skill
功能描述
Scrape AI chat conversations from ChatGPT, Gemini, Perplexity, Copilot, Google AI Mode, and Grok.
安全使用建议
What to check before installing: (1) The skill sends your prompts and parameters to api.scrapeless.com using X_API_TOKEN — only install if you trust that third-party service and its privacy/retention policy. (2) The package metadata in the registry incorrectly omits the required X_API_TOKEN; expect to set that env var or .env manually. (3) Install dependencies (requests, python-dotenv) yourself (pip install -r requirements.txt) and inspect the script for any modifications you would not expect. (4) Avoid placing other secrets in a .env file in the same repo because python-dotenv will read it; keep your X_API_TOKEN scoped and rotated if possible. (5) If you need higher assurance, request provenance (official upstream repo or signed publisher) or verify the HTTP interactions (endpoints, headers, payloads) before using in production.
功能分析
Type: OpenClaw Skill
Name: scrapeless-llm-chat-scraper-skill
Version: 1.0.0
The skill is a legitimate integration for the Scrapeless API, allowing users to scrape responses from various LLM providers. The core logic in `scripts/llm_chat_scraper.py` follows standard API interaction patterns (task creation and polling) and communicates exclusively with the official domain `api.scrapeless.com`. No evidence of data exfiltration, malicious execution, or prompt injection was found.
能力评估
Purpose & Capability
The SKILL.md and the included Python script both clearly describe and implement calls to the Scrapeless API (api.scrapeless.com) to create and poll scraping tasks for ChatGPT, Gemini, Perplexity, Copilot, Google AI Mode, and Grok. The required credential X_API_TOKEN is consistent with that purpose. However the registry metadata at the top of the submission lists 'Required env vars: none' which contradicts SKILL.md and the script that require X_API_TOKEN.
Instruction Scope
Runtime instructions only tell the agent/user to run the provided Python script, set X_API_TOKEN (or .env) and pass query/mode/country flags. The script loads a .env file (via python-dotenv) and only uses X_API_TOKEN from the environment for authentication. There are no instructions to read unrelated system files or exfiltrate data to unexpected endpoints beyond api.scrapeless.com.
Install Mechanism
This is an instruction-only skill (no install spec), but the repo includes code and a requirements.txt (requests, python-dotenv). That means the user must pip-install dependencies manually; there is no automated installer. This is low risk but a packaging gap: the skill writes no unusual files or run arbitrary installers, but you must follow the README to install dependencies.
Credentials
The script only requires a single API token (X_API_TOKEN) which is proportional to the stated behavior of calling the Scrapeless API. The concern is the inconsistency: registry metadata claims no required env vars while SKILL.md and the script require X_API_TOKEN. Also note: load_dotenv will parse a .env file if present, so the repository may read other env variables from that file even if they are unused — review any .env you create to avoid storing unrelated secrets there.
Persistence & Privilege
The skill does not request permanent 'always' presence and does not modify other skills or system-wide settings. It does network calls to the external API (expected for its purpose) and uses only the provided API token for authentication.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install scrapeless-llm-chat-scraper-skill - 安装完成后，直接呼叫该 Skill 的名称或使用
/scrapeless-llm-chat-scraper-skill触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release of llm-chat-scraper skill.
- Scrapes AI chat conversations from ChatGPT, Gemini, Perplexity, Copilot, Google AI Mode, and Grok using Scrapeless API.
- Unified command-line interface for querying each supported model.
- Supports options like `--country`, `--mode`, and `--web-search` where appropriate.
- Outputs structured JSON with comprehensive model-specific fields for each response.
- Includes error handling and regional restriction notes.
- Authentication via `X_API_TOKEN` required.
元数据
常见问题
Scrapeless LLM Chat Scraper Skill 是什么？
Scrape AI chat conversations from ChatGPT, Gemini, Perplexity, Copilot, Google AI Mode, and Grok. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 211 次。
如何安装 Scrapeless LLM Chat Scraper Skill？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install scrapeless-llm-chat-scraper-skill」即可一键安装，无需额外配置。
Scrapeless LLM Chat Scraper Skill 是免费的吗？
是的，Scrapeless LLM Chat Scraper Skill 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Scrapeless LLM Chat Scraper Skill 支持哪些平台？
Scrapeless LLM Chat Scraper Skill 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Scrapeless LLM Chat Scraper Skill？
由 scrapeless（@scrapelesshq）开发并维护，当前版本 v1.0.0。
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