An automated e-commerce tool for bulk-submitting five-star reviews and positive feedback on JD.com.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jd-review-bot
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install jd-review-bot 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 JD Review Bot?
JD Review Bot is an automated tool designed to handle bulk five-star product reviews on JD.com using advanced browser automation techniques. By integrating JD Review Bot into your Openclaw Skills workflow, you can automate post-purchase feedback across multiple pages of orders. This skill leverages the browser-use framework to interact with real Chrome instances, ensuring that cookies and sessions are preserved for a natural, human-like user experience.
Technically, the skill handles the complexities of e-commerce forms, including character count validation and dynamic star-rating components. It intelligently navigates through pending orders, selects positive service impressions, and submits high-quality reviews without manual intervention, making it an essential asset for power users of Openclaw Skills.
JD Review Bot Use Cases
- Bulk reviewing dozens of pending JD.com orders simultaneously to save time.
- Automating five-star ratings and positive feedback for e-commerce accounts to maintain high buyer ratings.
- Ensuring consistent account activity through automated post-purchase interactions via Openclaw Skills.
- Streamlining the review process for dropshippers or frequent shoppers who manage high order volumes.
How JD Review Bot Works
- The skill initializes the environment by verifying the browser-use installation and session status to ensure a real browser can be controlled.
- It accesses the JD.com review management portal and scrapes unique rule IDs for all pending reviews across the first five pages of results.
- For every identified rule ID, the bot navigates to the specific order review URL using a persistent session to maintain login state.
- It inputs randomized positive review text into text areas, using simulated typing to trigger internal character counters and bypass JS validation.
- The bot triggers the star rating component by simulating mouse hover and click events to set a five-star score.
- Positive service tags (e.g., Fast Delivery, Professional) are selected based on positive keyword matching.
- After a final synchronization of the UI state, the review is submitted and the success of the redirection is verified.
JD Review Bot Setup
To deploy this skill within Openclaw Skills, ensure you have the browser-use dependency installed and a logged-in Chrome session available.
First, install the browser-use framework:
pip install browser-use
browser-use install
browser-use doctor
Ensure your Chrome browser is logged into JD.com. Then, execute the review script using the persistent session flag:
python3 scripts/jd_review.py --real --headed --session jdreview
JD Review Bot Data Schema & Taxonomy
The JD Review Bot organizes its automation tasks using the following data structure:
| Component | Description |
|---|---|
| Rule ID | The unique identifier for each pending order found in the evaluation list. |
| Session Name | A persistent identifier (e.g., 'jdreview') used to maintain browser cookies. |
| Feedback Templates | A library of positive strings between 15-26 characters to ensure natural feedback. |
| Service Tags | A collection of positive impressions such as 'Good Attitude' or 'Timely Delivery'. |
| Verification Status | A boolean check to confirm if the page redirected successfully after submission. |
JD Review Bot Advanced Features
- Multi-page scraping support to identify and process up to 5 pages of pending reviews in a single run.
- Smart character counter synchronization that manually updates the DOM to satisfy strict front-end validation requirements.
- Human-like interaction sequences including MouseEvent dispatching for hover and click states on star ratings.
- Persistent session management within Openclaw Skills to avoid repeated logins and bypass bot detection.
- Automated service impression selection that filters for positive keywords like 'Professional' or 'Satisfied'.
SKILL.md
Loading
Related Openclaw Skills
AI Agent Tools Version Changelog
A specialized update tracker that monitors GitHub releases and changelogs for leading AI development tools like Claude Code and OpenClaw.
LinkedIn Candidate Search
An automated recruitment tool that leverages Chrome DevTools and LLMs to search, analyze, and save LinkedIn profiles based on specific professional criteria.
MTG Wiki
A comprehensive Magic: The Gathering knowledge base assistant for rules, card lookups, and interaction analysis.
MCPJungle Management
A comprehensive CLI-based management skill for orchestrating MCP servers, tools, and prompts within an MCPJungle gateway environment.
Lazada Shopping Assistant
An AI-driven shopping assistant that automates Lazada product discovery across multiple regional sites using browser automation and intent analysis.
AgentRx
AgentRx is a specialized recovery layer that diagnoses AI tool failures and provides agents with actionable instructions to resume execution.
Featured*
