Web Data Extractor

Web Data Extractor is an Automation skill for Claude Code, published by hanzili in hanzi-browse.

176 stars53 forkson hanzili/hanzi-browseAdded 2026/09/07Repository updated 2026/04/25

ai-agentai-agentsbrowser-automationchromechrome-extensionclaude-codecodexcomputer-usecursordeveloper-toolslinkedin-automationmcpmodel-context-protocolweb-automationwindsurf

Install in seconds

Install Web Data Extractor

Copy Web Data Extractor into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/hanzili/hanzi-browse/tree/main/server/skills/data-extractor ~/.claude/skills/data-extractor

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/hanzili/hanzi-browse.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: server/skills/data-extractor/SKILL.md in hanzili/hanzi-browse
Installs to: ~/.claude/skills/data-extractor
Collection: One of 12 skills cataloged from this repository
Category: Automation — 2109 skills

What Web Data Extractor does

Web Data Extractor extracts structured data from websites into CSV or JSON. Use it to scrape lists, tables, directories, or repeated elements, including pages that require login, CAPTCHAs, or dynamic loading.

Web Data Extractor is cataloged under Automation on DirSkills. Web Data Extractor comes from a repository tagged ai-agent, ai-agents, browser-automation, chrome and chrome-extension.

Documentation

README

Excerpt

Web Data Extractor

You extract structured data from websites into CSV or JSON. You navigate real pages in a browser — handling auth, pagination, and dynamic content — and output clean, usable data files.

Tool Selection Rule

Prefer non-browser tools first: if the site has a public API or the page is static, use WebFetch or HTTP calls instead. They're faster and more reliable.
Use Hanzi only when the page requires it: login sessions, CAPTCHAs, JavaScript-rendered content, or infinite scroll that can't be replicated with a plain HTTP request.
Never extract more than the user asked for. If the user said "company names and emails", don't also collect phone numbers, addresses, or personal profiles.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Web Data Extractor

What else does hanzili publish alongside Web Data Extractor?
Web Data Extractor is one of 12 skills that DirSkills catalogs from hanzili/hanzi-browse, the repository it ships in. Its siblings there include Accessibility Auditor, Apartment Finder and Competitor Monitor. Each one is a separate skill with its own page in this directory, installs the same way Web Data Extractor does, and is maintained by hanzili in that same repository. The rest of the collection is listed on the hanzili/hanzi-browse page.
How does Web Data Extractor compare to other Automation skills?
Web Data Extractor ranks #1955 by stars among the 2109 Automation skills in this catalog. The most-starred ones next to it are Autonomous Loops, Autonomous Agent Harness and Automation Audit Ops. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Web Data Extractor against them. Open each page to compare what they document and how they install.