Jrets
Java base RETS client (CART fork)
Install / Use
/learn @jpfielding/JretsREADME
Provides java support for the Real Estate Transaction Standard.
This project is a continuation of the CART RETS client. While no releases have been prepared for cart for some time, it has been continually maintained via it's HEAD branch. The HEAD branch was ported into this project.
It is currently in use with ALL major MLS vendors and many minor ones. It also currently connects well with the Avantia Reference implementation and the Variman RETS server.
Quick Start Guide:
RetsSession session = new RetsSession("http://retsserver.com/loginurl");
// login
session.login("username","password");
// metadata (simple default to standard xml)
session.getMetadata();
// metadata request
GetMetadataRequest request = new GetMetadataRequest("SYSTEM", "*");
this.format.setMetadataResultFormat(request);
MetaObject[] metadata = session.getMetadata(request).getMetadata();
if(metadata.length != 1 || !(metadata[0] instanceof MSystem))
throw new IllegalArgumentException("1 MetaObject of type MSystem was expected.");
MSystem system = (MSystem) metadata[0];
Metadata metadata = new Metadata(system);
// search
session.search(new SearchRequest("Property","Residential","(ListingStatus=|A)"));
// getobject MAIN
Iterator<SingleObjectResponse> single = session.getObject("Property", "Photo", "MLNUM-10009", "0").iterator();
// getobject ALL
Iterator<SingleObjectResponse> many = session.getObject("Property", "Photo", "MLNUM-10009", "*").iterator();
Ecilpse project setup allows the addition of this project under eclipse and immediate use under eclipses tools. Ant build files exist for generating the jars for inclusion in other projects.
Related Skills
node-connect
350.8kDiagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps
frontend-design
110.4kCreate distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
openai-whisper-api
350.8kTranscribe audio via OpenAI Audio Transcriptions API (Whisper).
qqbot-media
350.8kQQBot 富媒体收发能力。使用 <qqmedia> 标签,系统根据文件扩展名自动识别类型(图片/语音/视频/文件)。
