Active participation of Danngn Market users in trading.
- In various regions of Korea, many users are using the Dangn Market app to trade second-hand.
- But many people have a hard time deciding which of my used products to sell.
- Because they doubt who will buy the things they use.
- Also, there are many people who want to buy what they want outside the scope of certification of Dangn Market.
- We will provide data on which item categories people in the area are most interested in through data.
- Such a service can induce users to participate in a transaction with their used goods, and can also increase the participation rate of those who are far away.
I will crawl the data from Daangn Market website by using Python. The names of modules are requests and BeautifulSoup of bs4.
All files imported through crawling are saved as CSV file and JSON file. Especially I made some modules for this project. So it doesn't need to import other special packages.
CSV and JSON files are sent to and stored in databases of SQLite and Elasticsearch.
- JSON schema description for NoSQL
All_Data
{
local_name: text,
Item : text,
Like : number,
Chat : number,
Date : date
}
Local_Data
{
local_name: text,
Item_name : text,
Like : number,
Chat : number,
Date : date
}
Column Family Name | local_name | |
All_Data | ||
Item | Chat | |
Count | Like | |
Local_Data | ||
Item_name | Chat | |
Like | Date |
After data is properly stored in the database, all data are accessed and processed through query statements.