Comments (4)
Successfully scraped the names of the cities where the locations of bloom sites are at. However, the other relevant information (location names and bloom dates) are nested elsewhere and not as headings under the cities. Need to figure out how to scrape those and add to list.
from finalproject.
Realized not all the places listed on website are cities of Japan. Changed to region to cover all places listed for database. Was able to scrape the site names and bloom dates and put in a list. Having issues with getting the list of each site to be in a list for each region.
from finalproject.
Checked with GSIs cannot put each site for each region due to each sites' data is not nested under each region. Modifying project: scrape just sites and bloom dates. Use csv file that has sites, area, and area type.
from finalproject.
Completed data scrape and finalized csv file with sites, area, and area type.
from finalproject.
Related Issues (13)
- Get file with Japanese Cities Data HOT 1
- Create diagram of relation between the two tables HOT 1
- Create the two tables using SQLAlchemy HOT 3
- Set Up Cache and save data
- Route 1 - Home Page HOT 1
- Route 2 - input City HOT 1
- Route 3 - addaplace HOT 1
- Route 4 - seeall HOT 1
- Return Lists and statements using Jinja for template HOT 2
- JavaScript file for Flask visualization HOT 1
- Clean Japanese Cities names HOT 1
- Create 3 Tables using flask_sqlalchemy & populate data HOT 1
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from finalproject.