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Tiktok Scraper
作者
ArulmozhiV
· GitHub ↗
· v0.1.0
· MIT-0
148
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install tiktok-scraper-2
功能描述
Discover and scrape TikTok profiles by location and category with browser simulation, stealth, proxy support, and exportable JSON/CSV data including thumbnails.
安全使用建议
This skill's behavior and requirements are plausible for a TikTok scraper, but the package is instruction-only and missing the implementation, install steps, and declared credential needs. Before installing or enabling it: 1) Request the source repository or a verified release (so you can inspect code and dependencies). 2) Require an explicit install spec (pip/Playwright install steps, browser binaries) and a manifest of required environment variables (proxy keys, Google API key) so you know what secrets will be used. 3) Inspect the code for network destinations and any exfiltration logic (where scraped data or credentials might be sent). 4) Run in a sandboxed environment (isolated VM/container) and avoid granting autonomous invocation until you review the implementation. 5) Consider legal/TOS implications of scraping TikTok and costs/legitimacy of residential proxy providers. If the publisher cannot produce a verifiable source and a proper install/credential manifest, treat the skill as untrusted.
功能分析
Type: OpenClaw Skill
Name: tiktok-scraper-2
Version: 0.1.0
The skill bundle provides documentation and metadata for a TikTok profile scraper named 'tiktok-scraper-2'. The SKILL.md file outlines a browser-based tool using Playwright for profile discovery and data extraction, including features like proxy support and Google Search API integration. While the documentation contains affiliate links for proxy providers (e.g., Bright Data, IProyal) and future-dated timestamps, there is no evidence of malicious intent, prompt injection, or unauthorized data exfiltration. The instructions are consistent with the stated purpose of social media scraping.
能力评估
Purpose & Capability
The name and description (TikTok profile discovery + scraping) align with the SKILL.md content: browser simulation, proxies, fingerprinting, thumbnail downloads, JSON/CSV exports. However, the SKILL.md declares runtime dependencies (python3, chromium, Playwright-style behavior) and references a ScrapeClaw project, while the registry metadata lists no required binaries, no install spec, and provides no source/homepage — an incoherence between claimed capabilities and what the package actually provides.
Instruction Scope
Runtime instructions expect reading/writing config files (config/scraper_config.json), creating data/output, data/queue and thumbnails directories, using Google Custom Search API (optional) and residential proxies, and running commands like discover/scrape. The skill will interact with external services (Google APIs, TikTok, proxy providers) and download content (profile images, thumbnails). The SKILL.md implicitly assumes a local scraper implementation is present and that credentials (proxy auth, Google API key) will be supplied, but none of those credentials/config paths are declared in the package metadata. Because the package contains no code, it's unclear which binaries/commands will actually run or how data/credentials are handled.
Install Mechanism
There is no install spec and no code files — the skill is instruction-only — yet SKILL.md lists required runtime bins (python3, chromium) and describes complex functionality (Playwright-like browser stealth, proxy integration, resume queues). That mismatch is risky: an agent following these instructions may assume or attempt to use software that isn't provided or described, and there is no trusted source (no homepage or repository) for obtaining the implementation. Absence of an install mechanism prevents auditing of the actual scraper code and dependencies.
Credentials
Registry metadata declares no required environment variables or primary credentials, but the SKILL.md expects optional Google API credentials and residential proxy credentials (implied). It also reads/writes local config and output paths. The package does not declare these secrets/config requirements, which is an inconsistency: the skill will likely require credentials (proxy provider keys, Google API key) to function, yet they are not listed in metadata for review or gating.
Persistence & Privilege
always:false and no special platform privileges are requested. The skill intends to write local files (queues, outputs, thumbnails) and maintain resume state in data directories — this is expected for a scraper. It does not request to persistently enable itself or alter other skills. However, because it can be invoked autonomously by default, combining autonomous invocation with the above inconsistencies increases risk until the implementation is validated.
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 tiktok-scraper-2 - 安装完成后，直接呼叫该 Skill 的名称或使用
/tiktok-scraper-2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
v0.1.0
Initial release of TikTok Profile Scraper for ScrapeClaw.
- Discover and scrape TikTok profiles directly from your browser with simulated human behavior and stealth techniques.
- Two-phase workflow: profile discovery (by location/category) and full browser profile scraping.
- Automatically filters out private, low-follower, empty, or previously scraped accounts.
- Exports profile data to JSON/CSV with thumbnail downloads and full engagement stats.
- Supports auto-resume, residential proxies (4 providers), and flexible configuration for advanced users.
- Includes troubleshooting tips and detailed guidance for proxy integration.
元数据
常见问题
Tiktok Scraper 是什么？
Discover and scrape TikTok profiles by location and category with browser simulation, stealth, proxy support, and exportable JSON/CSV data including thumbnails. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 148 次。
如何安装 Tiktok Scraper？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tiktok-scraper-2」即可一键安装，无需额外配置。
Tiktok Scraper 是免费的吗？
是的，Tiktok Scraper 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Tiktok Scraper 支持哪些平台？
Tiktok Scraper 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 Tiktok Scraper？
由 ArulmozhiV（@arulmozhiv）开发并维护，当前版本 v0.1.0。
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