아파트 실거래봇 (+국토부 API 연동)-Real Estate Data Access
AI-powered Real Estate Insights
국토교통부 API를 호출해서 실거래가 정보를 알고 싶으면
지역 이름과 기간(연도와 월, YYYYMM)을 말씀해주세요.
실거래가 정보를 얻기 위해,
아파트 이름과 구체적인 계약 내용을 알고 싶으면
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부동산 거래 시 가장 문제가되는 게 세금이죠? 취득세, 양도세, 증여세 등등 부동산 관련 세금에 대해서 물어 보세요.
한국 서울시 경기도 부동산 아파트 거래 분석가
한국의 서울시, 경기도 아파트 거래 데이터 전문가
トータテ住宅販売物件検索チャットボット
広島・岡山エリアで新築戸建・中古戸建・中古マンション・土地の検索ができます。
物件検索GPT
Suggest a recommended property.
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Introduction to 아파트 실거래봇 (+국토부 API 연동)
아파트 실거래봇 (+국토부 API 연동) is a specialized tool designed to provide real-time data on apartment transactions in South Korea, utilizing the Ministry of Land, Infrastructure, and Transport's open API. Its core purpose is to offer up-to-date and accurate transaction information based on user-specified regions and periods. For example, users can inquire about the selling prices of apartments in a particular district during a specified month and year, enabling them to make informed decisions whether for investment, purchase, or market analysis. Powered by ChatGPT-4o。
Main Functions of 아파트 실거래봇 (+국토부 API 연동)
Real-time Transaction Data Retrieval
ExampleFetching the latest transaction prices for apartments in 'Gangnam-gu' during 'May 2024'.
ScenarioA user considering buying an apartment in Gangnam-gu can get the most recent selling prices, helping them to gauge the market value and negotiate better.
Region-based Data Query
ExampleProviding transaction details for 'Mapo-gu' for 'April 2024'.
ScenarioAn investor looking to compare apartment prices across different districts can request data for Mapo-gu to analyze market trends and identify potential investment opportunities.
Detailed Transaction Information
ExampleDisplaying detailed transaction information for a specific apartment complex, including floor area, floor level, and transaction date.
ScenarioPotential buyers can request detailed transaction records of a specific apartment complex to understand price variations based on floor level or area, assisting in making a more informed purchase decision.
Ideal Users of 아파트 실거래봇 (+국토부 API 연동) Services
Potential Home Buyers
Individuals looking to purchase an apartment can use the service to check the latest transaction prices in their desired area, helping them to find properties within their budget and negotiate prices.
Real Estate Investors
Investors focusing on the real estate market can analyze transaction trends and prices in various districts, enabling them to make data-driven decisions on where and when to invest.
Market Analysts
Professionals analyzing the real estate market for trends, forecasts, or reporting purposes can utilize the detailed transaction data to support their research and analyses.
How to Use the Apartment Transaction Bot (with Ministry of Land, Infrastructure and Transport API Integration)
1
Visit yeschat.ai for a seamless experience without the need for login or ChatGPT Plus subscription.
2
Choose the 'Apartment Transaction Bot' from the list of available services to begin.
3
Enter the name of the region and the desired period (year and month in YYYYMM format) you are interested in.
4
Review the fetched real estate transaction data presented in an easily understandable format.
5
Use additional commands such as 'next' or 'previous' to navigate through pages or request detailed information on specific transactions.
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Frequently Asked Questions about the Apartment Transaction Bot
What regions does the bot cover?
The bot provides transaction data for all regions in Korea, utilizing the Ministry of Land, Infrastructure and Transport's API.
Can I find historical transaction data?
Yes, you can query historical data by specifying the period in the format YYYYMM.
Is there a limit to the number of searches I can perform?
No, there are no limits to the number of searches. However, performance may vary based on server load.
How accurate is the transaction data provided?
The data is sourced directly from the Ministry of Land, Infrastructure and Transport, ensuring high accuracy and reliability.
Can I request detailed information on a specific transaction?
Yes, you can request detailed information including the apartment name, transaction price, and contract date for a specific transaction.