Apify Marketing Agency Database
apify/awesome-skills
Build a marketing agency database from Clutch.co with the Clutch.co Agency API Actor (johnvc/clutch-agency-api).
Extract structured data from websites into CSV or JSON. An agent skill from hanzili/hanzi-browse.
Install Data Extractor
$ npx skills add hanzili/hanzi-browse --skill data-extractor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hanzili/hanzi-browse data-extractor --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/hanzili/hanzi-browse.git skills-src && mkdir -p .claude/skills && cp -r skills-src/server/skills/data-extractor .claude/skills/data-extractor && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "data-extractor" agent skill from https://github.com/hanzili/hanzi-browse/tree/main/server/skills/data-extractor into .claude/skills/data-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-extractor", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/hanzili/hanzi-browse/tree/main/server/skills/data-extractorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add hanzili/hanzi-browse --skill data-extractor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hanzili/hanzi-browse data-extractor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hanzili/hanzi-browse.git skills-src && mkdir -p .agents/skills && cp -r skills-src/server/skills/data-extractor .agents/skills/data-extractor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "data-extractor" agent skill from https://github.com/hanzili/hanzi-browse/tree/main/server/skills/data-extractor into .agents/skills/data-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-extractor", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hanzili/hanzi-browse --skill data-extractor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hanzili/hanzi-browse data-extractor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hanzili/hanzi-browse.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/server/skills/data-extractor .cursor/skills/data-extractor && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "data-extractor" agent skill from https://github.com/hanzili/hanzi-browse/tree/main/server/skills/data-extractor into .cursor/skills/data-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-extractor", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/hanzili/hanzi-browse.git --path server/skills/data-extractor--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hanzili/hanzi-browse --skill data-extractor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hanzili/hanzi-browse data-extractor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hanzili/hanzi-browse.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/server/skills/data-extractor .gemini/skills/data-extractor && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "data-extractor" agent skill from https://github.com/hanzili/hanzi-browse/tree/main/server/skills/data-extractor into .gemini/skills/data-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-extractor", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install hanzili/hanzi-browse data-extractorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add hanzili/hanzi-browse --skill data-extractor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hanzili/hanzi-browse.git skills-src && mkdir -p .github/skills && cp -r skills-src/server/skills/data-extractor .github/skills/data-extractor && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "data-extractor" agent skill from https://github.com/hanzili/hanzi-browse/tree/main/server/skills/data-extractor into .github/skills/data-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-extractor", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hanzili/hanzi-browse --skill data-extractor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hanzili/hanzi-browse data-extractor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hanzili/hanzi-browse.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/server/skills/data-extractor .opencode/skills/data-extractor && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "data-extractor" agent skill from https://github.com/hanzili/hanzi-browse/tree/main/server/skills/data-extractor into .opencode/skills/data-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-extractor", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
data-extractor- GitHub stars
- 177
- Token cost
- ~2.2k tokens
- SKILL.md length
- 875 words
- Files
- 1
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Extract structured data from websites into CSV or JSON. An agent skill from hanzili/hanzi-browse.
- Works in 3 steps: Understand the Target → Navigate and Collect → Output the Data
- The user wants to scrape a list
- SKILL.md covers Tool Selection Rule, Before Starting — Preflight…, What You Need From the User and Safety: Review Before You…, plus 5 more sections
- Reaches alumni.university.edu
What it does
Data Extractor is an agent skill from hanzili/hanzi-browse. Extract structured data from websites into CSV or JSON. Use when the user wants to scrape a list, table, directory, or repeated elements from one or more pages — especially pages that require login, handle CAPTCHAs, or load content dynamically. Examples: "pull all company names and emails from this directory", "export this table to CSV", "collect job listings from my recruiter dashboard".
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Documents & Office, covering Web scraping, CSV and tabular files and Schema markup. It works with Chrome Extensions and Model Context Protocol. The repository describes itself as: let any ai agent use the local browser.
When your agent uses it
- The user wants to scrape a list
- Repeated elements from one
- More pages — especially pages that require login
- Handle CAPTCHAs
Example prompts
- “pull all company names and emails from this directory”
- “export this table to CSV”
- “collect job listings from my recruiter dashboard”
- “/data-extractor”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Understand the Target
- Navigate and Collect
- Output the Data
What it can do on your machine
Read from SKILL.md and the folder at commit ce6e10d. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are javascript).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
alumni.university.edu
Also links to:
chromewebstore.google.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Data Extractor loads about 2.2k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 875 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 875 words (~2,185 tokens).
“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.”
- name
- data-extractor
- category
- productivity
Files
Just SKILL.md in server/skills/data-extractor of hanzili/hanzi-browse.
Open the folder on GitHubat commit ce6e10d
Compare with similar skills
Data Extractor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Data Extractor this skillhanzili/hanzi-browse | 177 | — | ~2.2k | Automated safety check: Pass | Custom licence | |
| Apify Marketing Agency Databaseapify/awesome-skills | 262 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Cloudflare Browser Renderingeinverne/dotfiles | 121 | — | ~4.9k | Automated safety check: Pass | GPL-3.0 | |
| Bright Data MCPbrightdata/skills | 264 | 1 repos | ~3.7k | Automated safety check: Pass | MIT | |
| Scrapingbee CLIScrapingBee/scrapingbee-cli | 108 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Champion Trackergooseworks-ai/goose-skills | 1.2k | 1 repos | ~1.1k | Automated safety check: Notes | MIT |
Similar skills
- Official
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Bright Data MCP handles ALL web data operations. An agent skill from brightdata/skills.
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Fetch and read any web page, search the web, crawl a site, or pull structured data out of pages.
Champion Tracker
gooseworks-ai/goose-skills
Track product champions for job changes and qualify their new companies against ICP.
SEO Firecrawl
seranking/seo-skills
Ad-hoc web scraping, site mapping, and full-site crawling via Firecrawl MCP.
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Related
Works with
Questions about Data Extractor
What does Data Extractor do?
Extract structured data from websites into CSV or JSON. An agent skill from hanzili/hanzi-browse. Data Extractor is an agent skill from hanzili/hanzi-browse. Extract structured data from websites into CSV or JSON.
When should I use Data Extractor?
Data Extractor fits situations like: the user wants to scrape a list; repeated elements from one; more pages — especially pages that require login; handle CAPTCHAs.
How do I install Data Extractor in Claude Code?
Run `npx skills add hanzili/hanzi-browse --skill data-extractor -a claude-code`. Or copy the skill folder (server/skills/data-extractor in hanzili/hanzi-browse) into .claude/skills/data-extractor in your project. Claude Code loads it when a task matches its description.
How do I install Data Extractor in Codex?
Run `npx skills add hanzili/hanzi-browse --skill data-extractor -a codex`. Or copy the skill folder (server/skills/data-extractor in hanzili/hanzi-browse) into .agents/skills/data-extractor in your project. Codex loads it when a task matches its description.
Can I use Data Extractor in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hanzili/hanzi-browse --skill data-extractor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-extractor, .gemini/skills/data-extractor, .github/skills/data-extractor and .opencode/skills/data-extractor in your project.
What does Data Extractor need to run?
SKILL.md names no scripts, command-line tools or credentials: Data Extractor is instructions for the agent only.
Does Data Extractor access the network?
SKILL.md names 2 domains. In commands or code: alumni.university.edu; the agent is likely to contact it when it follows the instructions. As links in the text: chromewebstore.google.com. This is read from the text; nothing was executed.
Is Data Extractor safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Data Extractor use?
Data Extractor has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Data Extractor use?
About 2.2k tokens (SKILL.md is roughly 8.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Data Extractor?
Skills that share tags, products or a category with Data Extractor: Apify Marketing Agency Database (apify/awesome-skills, 262 stars), Cloudflare Browser Rendering (einverne/dotfiles, 121 stars), Bright Data MCP (brightdata/skills, 264 stars) and Scrapingbee CLI (ScrapingBee/scrapingbee-cli, 108 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Extractor?
hanzili (a GitHub user) maintains it in hanzili/hanzi-browse, which has 177 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on April 25, 2026.
Source: hanzili/hanzi-browse on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.