get_jobs
💼【AI找工作助手】全平台自动投简历脚本:(boss、前程无忧、猎聘、拉勾、智联招聘)
Stars: 687
Get Jobs is a tool designed to help users find and apply for job positions on various recruitment platforms in China. It features AI job matching, automatic cover letter generation, multi-platform job application, automated filtering of inactive HR and headhunter positions, real-time WeChat message notifications, blacklisted company updates, driver adaptation for Win11, centralized configuration, long-lasting cookie login, XPathHelper plugin, global logging, and more. The tool supports platforms like Boss直聘, 猎聘, 拉勾, 51job, and 智联招聘. Users can configure the tool for customized job searches and applications.
README:
- Github(国外访问):https://github.com/loks666/get_jobs
- Gitee·码云(中国大陆):https://gitee.com/lok666/get_jobs
- https://api.ruyun.fun/ [支持市面全部大模型!折扣比例2比1!1刀也可充,详情请联系站内客服]
- 💥AI检测岗位匹配度,并根据岗位JD自动撰写适合岗位的打招呼语(仅Boss)
- 支持国内全部招聘平台(Boss直聘、猎聘、拉勾、51job、智联招聘)
- 定时投递,一键投递所有平台,并且再第二天自动定时重新投递
- Boos自动过滤 不活跃HR、猎头岗位、目标薪资,可自行在配置文件修改
- 企业微信消息推送,实时掌控建立投递情况
- Boss自动更新黑名单企业,避免重复投递
- 内置driver驱动(仅win11),自动判断系统环境适配驱动版本
- 集中化配置,仅需修改配置文件即可完成自定义筛选
- 超长cookie登录,大部分平台每周仅需扫码一次
- 内置xpathHelper插件,方便快速定位元素
- 全局日志记录,投递记录可追踪
- QQ交流群暗號:get_jobs
- ❌必须要关闭墙外代理,由于主要针对的国内平台,墙外代理会导致页面加载缓慢
- 💪🏻如你有“折腾精神”希望自己配置,QQ群内提供免费答疑,如你不想麻烦,可联系群主付费部署
- 📰由于不同系统的页面不一样,导致可能不兼容,文末会给出文档,尽可能让大家能自定义修改
- 🚩如您不方便访问github,可使用码云镜像(中国大陆)版本:gitee/getjobs
已经有人在交流群里 发广告 等与本项目无关的信息
如果带着不同目的或者没想清楚就进群的
一经发现群主会对您的家人及朋友进行亲切(没有素质)的问候
并将您请出群聊,请珍惜交流的机会,谢谢!
git clone https://github.com/loks666/get_jobs.git
cd get_jobs
- 目前程序自动判断系统环境,使用对应的chromedriver,并进行浏览器操作
- 但是你的Chrome版本必须是在Chrome官网下载的,并且为对应版本( 默认最新),才可使用
- 非windows的操作系统,请自行下载对应的驱动到src/main/resources路径下解压使用
更多环境配置详情请点击:📚 环境配置
-
🔩 通用配置
- 日志文件在 target/logs 目录下,所有日志都会输出在以运行日期结尾的日志文件中
- Constant.WAIT_TIME:超时等待时间,单位秒,用于等待页面加载
- cookie登录: 扫码后会自动保存cookie.json文件在代码运行目录下,换号直接删除cookie.json即可
- 每个平台的配置转换码都在平台文件夹下的Enum类里,找到相应的代码添加到类中即可
-
📢 企业微信消息推送设置
- 把.env_template文件重命名为
.env
- 在企业微信中创建一个群聊,然后添加机器人,获取到机器人URL,复制到
.env
文件中的HOOK_URL
即可 - 保持config.yaml文件中
bot.is_send
为true - 企业微信推送示例
完成以上配置,在每个平台投递结束简历后,便会在企业微信的群聊内,推送岗位的投递情况,无须改动其他代码
- 把.env_template文件重命名为
-
🤖 AI配置
-
.env
配制如下:HOOK_URL=https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=your_key_here BASE_URL=https://api.openai.com API_KEY=sk-xxx MODEL=gpt-4o-mini
-
HOOK_URL
:企业微信机器人推送的链接 -
BASE_URL
:直连或中转链接地址,如果是直连需要开梯子 -
API_KEY
:调用的API KEY -
MODEL
:需要使用的模型名称
根据测试,boss直聘在每天所有的岗位投递结束后消耗的额度(gpt-4o-mini)大约在0.06美元(6美分) 左右,代理除了在本项目中可用,也可使用客户端(https://github.com/knowlimit/ChatGPT-NextWeb) 在日常生活中使用,所以不会浪费,充值额度1刀起,随用随充
💥注意!AI代理地址:如云API:https://api.ruyun.fun/ ,该网站可自主充值需要的金额,无任何捆绑消费,支持市面上全部大模型,2人民币=1美元 -
-
⚙️ 主要的配置文件(config.yaml)
# 带[ ]括号的,就是多选,不带的就是单选
boss:
sayHi: "您好,我有7年工作经验,还有AIGC大模型、Java,Python,Golang和运维的相关经验,希望应聘这个岗位,期待可以与您进一步沟通,谢谢!" #必须要关闭boss的自动打招呼
keywords: [ "大模型工程师", "AI工程师", "Java", "Python", "Golang" ] # 需要搜索的职位,会依次投递
industry: [ "不限" ] # 公司行业,只能选三个,相关代码枚举的部分,如果需要其他的需要自己找
cityCode: [ "上海" ] # 只列举了部分,如果没有的需要自己找:目前支持的:全国 北京 上海 广州 深圳 成都
experience: [ "不限" ] # 工作经验:"应届毕业生", "1年以下", "1-3年", "3-5年", "5-10年", "10年以上"
jobType: "不限" #求职类型:"全职", "兼职"
salary: "不限" # 薪资(单选):"3K以下", "3-5K", "5-10K", "10-20K", "20-50K", "50K以上"
degree: [ "不限" ] # 学历: "初中及以下", "中专/中技", "高中", "大专", "本科", "硕士", "博士"
scale: [ "不限" ] # 公司规模:"0-20人", "20-99人", "100-499人", "500-999人", "1000-9999人", "10000人以上"
stage: [ "不限" ] # "未融资", "天使轮", "A轮", "B轮", "C轮", "D轮及以上", "已上市", "不需要融资"
expectedSalary: [ 25,35 ] #期望薪资,单位为K,第一个数字为最低薪资,第二个数字为最高薪资,只填一个数字默认为最低薪水
filterDeadHR: true # 是否过滤不活跃HR,该选项会过滤半年前活跃的HR
enableAI: true #开启AI检测与自动生成打招呼语
job51:
jobArea: [ "上海" ] #工作地区:目前只有【北京 成都 上海 广州 深圳】
keywords: [ "java", "python", "go", "golang", "大模型", "软件工程师" ] #关键词:依次投递
salary: [ "不限" ] #薪资范围:只能选5个【"2千以下", "2-3千", "3-4.5千", "4.5-6千", "6-8千", "0.8-1万", "1-1.5万", "1.5-2万", "2-3万", "3-4万", "4-5万", "5万以上"】
lagou:
keywords: [ "AI工程师","Java","Golang","Python" ] #搜索关键词
cityCode: "上海" #拉勾城市名没有限制,直接填写即可
salary: "不限" #薪资【"不限","2k以下", "2k-5k", "5k-10k", "10k-15k", "15k-25k", "25k-50k", "50k以上"】
scale: [ "不限" ] #公司规模【"不限","少于15人", "15-50人", "50-150人", "150-500人", "500-2000人", "2000人以上"】
gj: "在校/应届,3年及以下"
liepin:
cityCode: "上海" # 目前支持的:全国 北京 上海 广州 深圳 成都
keywords: [ "Java", "Python", "Golang", "大模型" ]
salary: "不限" # 填 15$30 代表 15k-30k
zhilian:
cityCode: "上海"
salary: "25001,35000" #薪资区间
keywords: [ "AI", "Java", "Python", "Golang" ]
ai:
introduce: "我熟练使用Spring Boot、Spring Cloud、Alibaba Cloud及其生态体系,擅长MySQL、Oracle、PostgreSQL等关系型数据库以及MongoDB、Redis等非关系型数据库。熟悉Docker、Kubernetes等容器化技术,掌握WebSocket、Netty等通信协议,拥有即时通讯系统的开发经验。熟练使用MyBatis-Plus、Spring Data、Django ORM等ORM框架,熟练使用Python、Golang开发,具备机器学习、深度学习及大语言模型的开发与部署经验。此外,我熟悉前端开发,涉及Vue、React、Nginx配置及PHP框架应用" #这是喂给AI的提示词,主要介绍自己的优势
prompt: "我目前在找工作,%s,我期望的的岗位方向是【%s】,目前我需要投递的岗位名称是【%s】,这个岗位的要求是【%s】,如果这个岗位和我的期望与经历基本符合,注意是基本符合,那么请帮我写一个给HR打招呼的文本发给我,如果这个岗位和我的期望经历完全不相干,直接返回false给我,注意只要返回我需要的内容即可,不要有其他的语气助词,重点要突出我和岗位的匹配度以及我的优势,我自己写的招呼语是:【%s】,你可以参照我自己写的根据岗位情况进行适当调整" #这是AI的提示词,可以自行修改
bot:
is_send: true #开启企业微信消息推送
-
boss直聘(Boss.java)【最推荐!每日仅可发起100次新聊天,活跃度还行,但是每日投递次数太少】
注意:Boss必须要关闭自动打招呼,设置配置文件的sayHi为你的打招呼语,否则会投递失败
投递结束后会自动更新黑名单企业,发送过不合适等消息的HR的公司会加入黑名单,不会在投递该公司
现在找工作是很难,但也别做舔狗,打工人不是牛马!- 目标薪资设置:expectedSalary: [ 25,35 ]
- 单位为K,第一个数字为最低薪资,第二个数字为最高薪资,只填一个数字默认为只要求最低薪水,不要求最高薪水
data.json //黑名单数据,在投递结束后会查询聊天记录寻找不合适的公司添加进去 ├── blackCompanies: List.of("复深蓝"); // 公司黑名单,多个用逗号分隔 ├── blackRecruiters: List.of("猎头"); // 排除招聘人员,比如猎头 └── blackJobs: List.of("外包", "外派"); // 排除岗位,比如外包,外派
- 目标薪资设置:expectedSalary: [ 25,35 ]
-
51job(Job.java)【投递有上限,且限制搜索到的岗位数量,没什么活人】
51job现在已经烂掉了,不建议使用
现在投递一段时间后会出现投递上限
目前的解决方式是投一页暂停10秒,先这么着吧 -
拉勾(Lagou.java)【投递无上限,会限制投递的频率,没什么活人而且投不了几个岗位】
默认使用微信扫码,请绑定微信账号
拉勾需要指定默认投递简历(在线简历 or 附件简历),否则会投递失败
拉勾直接使用的是微信扫码登录,运行后直接扫码即可,开箱通用
但是拉勾由于反爬机制较为严重,代码中嵌套了大量的sleep,导致效率较慢
这边建议拉勾的脚本运行一段时间后差不多就行了,配合手动在app或者微信小程序投递简历效果更佳!
拉勾目前有个玄学bug,投递的时候随机失败,可以解决的大佬请联系我 -
猎聘(Liepin.java)【默认打招呼无上限,主动发消息有上限,虽然成功率不高,好在量大,较为推荐】
注意:需要在猎聘App最新版设置打招呼语(默或者自定义皆可),即可自动发送消息,不会被限制
只可微信扫码,请绑定微信账号
需要使用最新版猎聘手机app设置打招呼文本,只要不主动发消息,可以无限制对猎头打招呼,程序默认为该配置。 -
智联招聘(ZhiLian.java)【投递上限100左右,岗位质量较差,走投无路可以考虑】
智联招聘需要指定默认投递简历(在线简历 or 附件简历),否则会投递失败
只可微信扫码,请绑定微信账号
- 目前默认Boss会定时投递两次,可以修改相关代码修改时间
- 每个包下的Scheduled文件,即使单独针对平台的定时投递,例:BossScheduled.java ,就是boss平台每天定时投递
- 定时投递第一次运行时会立即投递一次,到了第二天设定的时间,会再次投递,时间可以自行在代码中修改
- V2VDaGF0OkFpckVsaWF1azk1Mjcs6K+35aSH5rOo77ya5pq06aOO6Zuo5bCx6KaB5p2l5LqG
- 扫码添加:QQ加群答案为本项目仓库名【get_jobs】
点击下面的链接可直接加群,微信群由于没有活跃度,所以停止了
本项目文档已相对完善,如有运行仍有问题,请添加QQ群联系群主或在群内沟通
- 请注意:
- 本项目不支持服务器部署,无须尝试,如招聘网站发现访问者为服务器IP,不会返回任何网站数据。
- 在开发与部署过程有任何问题都可在群内沟通,但群内的同学没有义务必须要解决您的问题,请保持礼貌提问的态度。
注:本项目为免费开源项目,非Saas类出售商品,不会考虑任何兼容的设备以及他人的需求,如多位同学有相同的需求可以提出issue,具有一定需求性会考虑开发,其他的问题有能力就自己修改,否则请联系群主,非诚勿扰。
- 2024-04-15 01:52:18
- 新增config.yaml,目前仅需修改配置文件即可,已全平台支持
- cookie有效期延长,保持至少一周(拉勾平台除外)【安慰剂】
- 2024-04-28 15:20:06
- boos:自动更新黑名单公司
- 2024-06-06 01:49:38
- boos:若公司名小于2个字或4个字母则不会添加进黑名单
- 添加linux系统支持。
- 2024-06-06 17:41:20
- boss支持多城市投递。
- 2024-08-11 18:39:56
- 修复智联,猎聘等不能投递的问题。
- 添加定时投递功能
- 2024-08-12 22:56:20
- 添加企业微信消息推送功能
我们非常欢迎各种形式的贡献
如果你对贡献代码感兴趣
可以查看我们的 Issues
和 discussions
期待你的大展身手,向我们展示你的奇思妙想。
- 提交Pr流程:
- fork本项目
- 从master分支新建分支
- 开发完成后提交pull request到lok666/get_jobs的【dev】分支,注意是dev!!!
- 等待管理员审核验证提交代码无误后,合并到main分支
- 近日已经有人反馈,有人拿着本项目免费开源的代码,在闲鱼等小红书各处售卖
- 本项目代码完全开源免费,请勿上当受骗,请大家擦亮眼睛
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This project is a personal implementation and reproduction of a small-parameter Chinese LLM. It mainly refers to these two open source projects: https://github.com/charent/Phi2-mini-Chinese and https://github.com/DLLXW/baby-llama2-chinese. It includes the complete process of pre-training, SFT instruction fine-tuning, DPO, and PPO (to be done). I hope to share it with everyone and hope that everyone can work together to improve it!
bot-on-anything
The 'bot-on-anything' repository allows developers to integrate various AI models into messaging applications, enabling the creation of intelligent chatbots. By configuring the connections between models and applications, developers can easily switch between multiple channels within a project. The architecture is highly scalable, allowing the reuse of algorithmic capabilities for each new application and model integration. Supported models include ChatGPT, GPT-3.0, New Bing, and Google Bard, while supported applications range from terminals and web platforms to messaging apps like WeChat, Telegram, QQ, and more. The repository provides detailed instructions for setting up the environment, configuring the models and channels, and running the chatbot for various tasks across different messaging platforms.
LLM-Dojo
LLM-Dojo is an open-source platform for learning and practicing large models, providing a framework for building custom large model training processes, implementing various tricks and principles in the llm_tricks module, and mainstream model chat templates. The project includes an open-source large model training framework, detailed explanations and usage of the latest LLM tricks, and a collection of mainstream model chat templates. The term 'Dojo' symbolizes a place dedicated to learning and practice, borrowing its meaning from martial arts training.
meet-libai
The 'meet-libai' project aims to promote and popularize the cultural heritage of the Chinese poet Li Bai by constructing a knowledge graph of Li Bai and training a professional AI intelligent body using large models. The project includes features such as data preprocessing, knowledge graph construction, question-answering system development, and visualization exploration of the graph structure. It also provides code implementations for large models and RAG retrieval enhancement.
deepseek-free-api
DeepSeek Free API is a high-speed streaming output tool that supports multi-turn conversations and zero-configuration deployment. It is compatible with the ChatGPT interface and offers multiple token support. The tool provides eight free APIs for various AI interfaces. Users can access the tool online, prepare for integration, deploy using Docker, Docker-compose, Render, Vercel, or native deployment methods. It also offers client recommendations for faster integration and supports dialogue completion and userToken live checks. The tool comes with important considerations for Nginx reverse proxy optimization and token statistics.
openai-forward
OpenAI-Forward is an efficient forwarding service implemented for large language models. Its core features include user request rate control, token rate limiting, intelligent prediction caching, log management, and API key management, aiming to provide efficient and convenient model forwarding services. Whether proxying local language models or cloud-based language models like LocalAI or OpenAI, OpenAI-Forward makes it easy. Thanks to support from libraries like uvicorn, aiohttp, and asyncio, OpenAI-Forward achieves excellent asynchronous performance.
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linkedIn_auto_jobs_applier_with_AI
LinkedIn_AIHawk is an automated tool designed to revolutionize the job search and application process on LinkedIn. It leverages automation and artificial intelligence to efficiently apply to relevant positions, personalize responses, manage application volume, filter listings, generate dynamic resumes, and handle sensitive information securely. The tool aims to save time, increase application relevance, and enhance job search effectiveness in today's competitive landscape.
get_jobs
Get Jobs is a tool designed to help users find and apply for job positions on various recruitment platforms in China. It features AI job matching, automatic cover letter generation, multi-platform job application, automated filtering of inactive HR and headhunter positions, real-time WeChat message notifications, blacklisted company updates, driver adaptation for Win11, centralized configuration, long-lasting cookie login, XPathHelper plugin, global logging, and more. The tool supports platforms like Boss直聘, 猎聘, 拉勾, 51job, and 智联招聘. Users can configure the tool for customized job searches and applications.
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sweep
Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.
teams-ai
The Teams AI Library is a software development kit (SDK) that helps developers create bots that can interact with Teams and Microsoft 365 applications. It is built on top of the Bot Framework SDK and simplifies the process of developing bots that interact with Teams' artificial intelligence capabilities. The SDK is available for JavaScript/TypeScript, .NET, and Python.
ai-guide
This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.
classifai
Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.
chatbot-ui
Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.
BricksLLM
BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students
uAgents
uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.
griptape
Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.