360 Secure SkillHub
360 安全技能中心

Scrape

提供合法网页抓取的预检查清单与法律边界说明:抓取前需检查 robots.txt、服务条款、数据类型、登录授权与是否已有 API;给出请求节流(2-3 秒间隔、UA 含联系方式、429 退避、连接复用)与数据处理(剥离 PII、不做指纹识别、最小化存储、审计日志)规范,并在 code.md 中提供代码模式与 robots.txt 解析器。

ivangdavila
ivangdavila
热度 99.09
最近更新 2026-05-11 16:27:50
分类:安全依赖:代码执行应用场景:代码生成 / 自动化脚本 / 数据处理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add scrape
Metadata
name
Scrape
description
Legal web scraping with robots.txt compliance, rate limiting, and GDPR/CCPA-aware data handling.

Pre-Scrape Compliance Checklist

Before writing any scraping code:

  1. robots.txt — Fetch {domain}/robots.txt, check if target path is disallowed. If yes, stop.
  2. Terms of Service — Check /terms, /tos, /legal. Explicit scraping prohibition = need permission.
  3. Data type — Public factual data (prices, listings) is safer. Personal data triggers GDPR/CCPA.
  4. Authentication — Data behind login is off-limits without authorization. Never scrape protected content.
  5. API available? — If site offers an API, use it. Always. Scraping when API exists often violates ToS.

Legal Boundaries

  • Public data, no login — Generally legal (hiQ v. LinkedIn 2022)
  • Bypassing barriers — CFAA violation risk (Van Buren v. US 2021)
  • Ignoring robots.txt — Gray area, often breaches ToS (Meta v. Bright Data 2024)
  • Personal data without consent — GDPR/CCPA violation
  • Republishing copyrighted content — Copyright infringement

Request Discipline

  • Rate limit: Minimum 2-3 seconds between requests. Faster = server strain = legal exposure.
  • User-Agent: Real browser string + contact email: Mozilla/5.0 ... (contact: you@email.com)
  • Respect 429: Exponential backoff. Ignoring 429s shows intent to harm.
  • Session reuse: Keep connections open to reduce server load.

Data Handling

  • Strip PII immediately — Don't collect names, emails, phones unless legally justified.
  • No fingerprinting — Don't combine data to identify individuals indirectly.
  • Minimize storage — Cache only what you need, delete what you don't.
  • Audit trail — Log what, when, where. Evidence of good faith if challenged.

For code patterns and robots.txt parser, see code.md