Data Scraper
Medium Risk通用数据抓取工具
Editorial assessment
Where Data Scraper fits
Data Scraper is currently positioned as a 数据 skill for teams automating browsers, app flows, and web data collection. Based on the available metadata, the core job to be done is straightforward: 通用数据抓取工具.
The current description adds a practical clue about how the skill behaves in the field: 从网站抓取结构化数据，支持 css 选择器和 xpath. Combined with an npm-based install path, this makes Data Scraper easier to evaluate than pages that only list a name and external link.
Data Scraper should be tested in a controlled environment before wider rollout. The current record points to 网络请求 and 浏览器控制 as part of the operational surface, which should be reviewed during security and workflow testing.
Best fit
teams automating browsers, app flows, and web data collection
Install surface
npx skills add data-scraper
Source signal
Public source link available
Workflow tags
Scraping, Data, and Automation
Adoption posture
Install command documented
Risk review
Should be tested in a controlled environment before wider rollout
Priority review
Why this skill deserves a closer look
Data Scraper earns extra editorial attention because it already sits near the top of the skill library by usage or voting signal. For ClawList readers, that makes it a better candidate for deeper evaluation than a one-line listing or an untested community import.
Best for
Best for teams automating browsers, app flows, and web data collection. This is the kind of skill worth reviewing when you are standardizing a workflow, not just experimenting in a throwaway session.
Last reviewed
April 3, 2026
Key caveats
Even strong community signals do not replace a source review. Check the install path, maintenance history, and permission surface before wider rollout.
This skill advertises compatibility with OpenClaw >=0.9.0, so confirm your runtime version before you depend on it.
Compare Data Scraper against adjacent options before standardizing it, because the highest-voted skill is not always the best fit for your exact repo, team, or automation surface.
Alternatives
No close alternatives are published on the current skill record yet.
Install Command
npx skills add data-scraperRequires OpenClaw >=0.9.0
Best-fit workflows
Data Scraper is best evaluated in 数据 environments where 通用数据抓取工具
Shortlist it when your team is actively comparing options for scraping, data, and automation workflows
Use a disposable workspace for the first pass so you can confirm the install flow, repository quality, and downstream permissions before broader adoption
About
从网站抓取结构化数据，支持 CSS 选择器和 XPath
Rollout checklist
Review the source repository at https://github.com/openclaw/skills/data-scraper and confirm the README, maintenance activity, and install notes are still current.
Run `npx skills add data-scraper` in a disposable environment first so you can confirm package resolution, dependencies, and rollback steps.
Verify whether 网络请求 and 浏览器控制 matches your security expectations and least-privilege model.
Map Data Scraper against the rest of your stack in scraping, data, and automation workflows so the team knows whether it is a standalone tool or a supporting utility.
FAQ
What does Data Scraper help with?
Data Scraper is positioned as a 数据 skill. Based on the current summary and tags, it is most relevant for teams automating browsers, app flows, and web data collection, especially when the workflow requires 通用数据抓取工具.
How should I evaluate Data Scraper before using it in production?
Start by running npx skills add data-scraper in a disposable environment, then review the source repository, permission surface, and any workflow-specific dependencies before wider rollout.
Why does this page include editorial guidance instead of only the upstream docs?
ClawList is trying to make each skill page more useful than a bare directory listing. That means surfacing practical signals like the install surface, source link, permissions, workflow fit, and rollout considerations in one place.
Who is the best first user for Data Scraper?
The best first evaluator is usually the operator or engineer already responsible for 数据 workflows, because they can verify whether Data Scraper matches the current stack, risk tolerance, and maintenance expectations.
Security & Permissions
This skill requires the following permissions:
- 网络请求
- 浏览器控制
Recommendation: Use the principle of least privilege and regularly review skill behavior.