zhinianboke/xianyu-auto-reply

闲鱼自动回复管理系统是一个基于 Python + FastAPI 开发的自动化客服系统,专为闲鱼平台设计。系统通过 WebSocket 连接闲鱼服务器,实时接收和处理消息,提供智能化的自动回复服务。同时集成闲鱼自动发货,自动评价,自动擦亮等功能,实现闲鱼虚拟商品自动化流程。

View on GitHub ↗Jump to charts ↓

Summary Information

Updated 39 minutes ago
Added to GitGenius on September 9th, 2026
Created on July 24th, 2025
Open Issues & Pull Requests: 62 (+0)
GitHub issues: Enabled
Number of forks: 1,802
Total Stargazers: 7,007 (+0)
Total Subscribers: 24 (+0)

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Issue API getrepoissuespagesummary failed: 429 Rate limit exceeded. Please try again later.

Detailed Description

Xianyu Auto Reply is an automation system for managing customer service on the Xianyu platform, built with Python and FastAPI.

The system solves the problem of manually handling customer inquiries and repetitive tasks on Xianyu by connecting to the platform via WebSocket to receive and process messages in real time. It provides intelligent auto-reply functionality based on text keywords, image keywords, default responses, and product-specific replies. Beyond messaging, the tool automates shipping for virtual goods and coupons, handles product publishing with batch operations, manages orders and automatic reviews, and includes a subsidiary system for commission-based reselling with product curation rules, material library management, and scheduled publishing and deletion workflows.

The tool suits sellers on the Xianyu platform who manage multiple accounts and want to automate customer interactions and fulfillment workflows. It is particularly relevant for those selling virtual goods or operating reselling operations at scale. The system supports multi-account management with cookie maintenance and login renewal, integrates large language models for contextual conversation, and includes a material library and address library for product publishing. A subsidiary promotion system handles commission account management, product sourcing rules, and compensation tasks for published items.

The project receives issue reports primarily from outside users rather than the core team, indicating a substantial base of real-world adopters. Maintainers typically respond to new issues and pull requests within a few days.