DMM Ranking Lite for Openclaw

A lightweight browser automation tool for Openclaw Skills to extract and translate DMM/FANZA public rankings without needing API credentials.

leeeroyjoy-pixel
v0.1.0
Mar 2, 2026
0
919
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install dmm-ranking-lite

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install dmm-ranking-lite using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is DMM Ranking Lite?

The DMM Ranking Lite skill is a specialized utility designed to scrape public ranking data from DMM and FANZA directly through browser automation. It eliminates the need for official API keys by navigating the public web interface, handling age verification prompts, and extracting metadata such as original Japanese titles, high-resolution cover images, and content IDs.

By leveraging this skill within the Openclaw Skills ecosystem, developers and researchers can automate the collection of trending media data across daily, weekly, and monthly timeframes. The output is optimized for human readability, featuring natural Chinese translations alongside original Japanese titles, making it an essential tool for content tracking and data gathering in the media sector.

DMM Ranking Lite Use Cases

  • Monitoring daily, weekly, or monthly trending adult media on DMM and FANZA.
  • Automating the extraction of the top 10 ranking items for daily reports.
  • Collecting content metadata and cover image URLs for database population without API access.
  • Translating Japanese content titles into natural Chinese for non-Japanese speaking users.

How DMM Ranking Lite Works

  1. Navigates to the specific DMM/FANZA ranking URL based on the requested term (daily, weekly, or monthly).
  2. Automatically detects the age verification modal and clicks the confirmation button to proceed.
  3. Executes a specialized JavaScript snippet via the browser's evaluation tool to parse the page DOM.
  4. Extracts the rank, title, content ID, and the most relevant cover image URL from the list items.
  5. Sorts the collected data by rank and slices the array to match the requested count (defaulting to Top 10).
  6. Formats the final output into a structured, numbered text block and closes the browser tab to ensure efficiency.

DMM Ranking Lite Setup

To use this skill, ensure your agent has the browser automation capability enabled. No external API keys are required as it relies on public page scraping.

# Standard integration for Openclaw Skills
# 1. Place the skill file in your agent's skills directory.
# 2. Trigger the skill by asking for "DMM Rankings" or "FANZA Top 10".

DMM Ranking Lite Data Schema & Taxonomy

The skill organizes extracted data into a structured text format for clarity. Below is the metadata taxonomy used:

Field Description Formatting
Rank The numerical position in the ranking 1, 2, 3...
Japanese Title The original title as found on the source page Plain text
Chinese Translation A natural-sounding translation of the title Plain text
Cover Image Direct URL to the content's cover thumbnail URL
Content ID The unique identifier for the specific media item String (Internal)

DMM Ranking Lite Advanced Features

  • Age Verification Bypass: Automatically handles the mandatory age confirmation prompts found on DMM/FANZA sites.
  • Intelligent Image Selector: A robust fallback logic that identifies the best image source from multiple attributes like data-src or currentSrc.
  • Custom Extraction Depth: While optimized for Top 10, the skill can be configured to fetch any number of items by adjusting the count parameter.
  • Multi-Term Support: Seamlessly switches between daily, weekly, and monthly ranking pages based on user input within the Openclaw Skills framework.

SKILL.md


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