lake121380-source/lakejobai-job-radar

★ 18PythonAudience · generalComplexity · 3/5Setup · moderate

Mindmap

mindmap
  root((lakejobai-job-radar))
    Core features
      Multi-city search
      Benefit filters
      Bulk apply
      AI recruiter chat
    Interfaces
      Web dashboard
      CLI with JSON output
      AI agent integration
    AI support
      DeepSeek
      OpenRouter
      OpenAI format
    Limits
      Personal use only
      15 apps per day
      No bulk accounts

mindmap root((lakejobai-job-radar)) Core features Multi-city search Benefit filters Bulk apply AI recruiter chat Interfaces Web dashboard CLI with JSON output AI agent integration AI support DeepSeek OpenRouter OpenAI format Limits Personal use only 15 apps per day No bulk accounts

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Things people build with this

USE CASE 1

Search and apply to jobs across 60+ Chinese cities on BOSS Zhipin filtered by benefits like five-day work weeks and social insurance.

USE CASE 2

Let an AI model automatically reply to recruiter messages and share your WeChat details and resume during chats.

USE CASE 3

Connect the JSON-output CLI to an AI agent framework for programmatic job search management and conversion funnel tracking.

Tech stack

PythonPlaywrightFirefoxDeepSeekOpenAI API

Getting it running

Difficulty · moderate Time to first run · 30min

Requires Python 3.10+, Playwright with a Firefox browser download, and credentials for an AI provider (DeepSeek, OpenRouter, or OpenAI-compatible API).

No license information is provided, the README explicitly restricts use to personal job hunting only and prohibits bulk account creation or commercial data collection.

In plain English

This is a job search automation tool for BOSS Zhipin, a popular Chinese job platform. The README is primarily in Chinese, with some English summaries. The tool is designed to help individual job seekers search listings across more than 60 cities, filter jobs by benefits such as five-day work weeks and social insurance, apply to multiple positions in one go, and let an AI model handle chat replies with recruiters automatically. The project runs as a local Python server that controls a Firefox browser in the background to operate BOSS Zhipin on behalf of the user. There is a web dashboard you open at a local address to manage searches, view your application history, and configure the AI. There is also a command-line interface with 14 commands for the same operations, designed to output plain JSON so that AI agents can call it programmatically. The README includes a section specifically about integrating the CLI with AI agent frameworks. Features include a conversion funnel that shows how many job listings you looked at, applied to, and received replies from, an AI analysis tool that scores how well a job description matches your background, a shortlist for saving promising positions, and automatic exchange of contact information like WeChat details and resumes during recruiter chats. The AI reply feature supports multiple model providers including DeepSeek, OpenRouter, and any service that uses the OpenAI API format. The README is explicit about the tool's intended limits: it is for personal job hunting only, has a default cap of 15 applications per day, and must not be used for bulk account creation or commercial data collection. It also notes that automated activity should stop immediately if the platform's risk controls are triggered. Installation requires Python 3.10 or later, a pip install command, and a Playwright Firefox browser download. After starting the server, you log into BOSS Zhipin by scanning a QR code in a browser window, then configure your AI provider credentials in the settings page.

Copy-paste prompts

Prompt 1

I installed lakejobai-job-radar and want to search for Python developer roles in Shanghai filtering for five-day weeks and social insurance. Walk me through setting up the search config and confirming the 15-application daily cap is active.

Prompt 2

I configured lakejobai-job-radar with DeepSeek as the AI provider. How do I set up the automatic recruiter reply feature so it responds in a professional tone and shares my WeChat contact at the right moment?

Prompt 3

Show me how to use the CLI in lake121380-source/lakejobai-job-radar to pull my application funnel stats as JSON so I can pipe the output into a script that tracks my view-to-reply conversion rate.

Prompt 4

I want to integrate lake121380-source/lakejobai-job-radar with an AI agent that decides which jobs to shortlist. Which CLI commands expose the job scoring data and what does the output schema look like?

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