SESSION SUMMARY - Restaurant Inspection Data Collection
Date: August 16, 2025
========================================================

OBJECTIVE:
Download restaurant inspection CSV data from various city Socrata APIs for the CleanKitchens project.

COMPLETED TASKS:
================

1. Created directory structure for data storage:
   - /var/www/twin-digital-media/public_html/_sites/cleankitchens/data/
     ├── chicago/
     ├── nyc/
     ├── king_county/
     ├── la_county/
     └── austin/

2. Successfully downloaded CSV data:
   - NYC: 289,276 records (124MB)
     File: nyc_restaurant_inspections.csv
     API: https://data.cityofnewyork.us/resource/43nn-pn8j.json
     
   - Chicago: 295,309 records (312MB) 
     File: chicago_food_inspections.csv
     API: https://data.cityofchicago.org/resource/4ijn-s7e5.json
     
   - King County (Seattle): 276,294 records (79MB)
     File: king_county_food_inspections.csv
     API: https://data.kingcounty.gov/resource/f29f-zza5.json
     
   - Austin: 22,242 records (2.2MB)
     File: austin_food_inspections.csv
     API: https://data.austintexas.gov/resource/ecmv-9xxi.json

   TOTAL: 883,121 records successfully downloaded

3. Identified data sources that are NOT available:
   - LA County: APIs return 404 errors
     Attempted: https://data.lacounty.gov/resource/6ni6-h5kp.json (inspections)
     Attempted: https://data.lacounty.gov/resource/8jyd-4pv9.json (violations)
     Status: May have migrated from Socrata to ArcGIS platform
     
   - San Francisco: Stopped using Socrata in 2021
     Old API (deprecated): https://data.sfgov.org/resource/pyih-qa8i.json
     New system: inspections.myhealthdepartment.com/san-francisco
     Status: Uses proprietary MyHealthDepartment platform, blocks scraping attempts
     
   - Florida: Uses DBPR system, not Socrata
     Website: https://www2.myfloridalicense.com/hotels-restaurants/public-records/
     Format: CSV downloads by county, no API

4. Created scraper script for San Francisco:
   File: /var/www/twin-digital-media/public_html/_sites/cleankitchens/data/sf_scraper.py
   Status: Created but not tested due to bash shell failure

ISSUES ENCOUNTERED:
===================
1. Bash shell became unresponsive after deleting san_francisco directory while shell was in it
2. Unable to execute Python scripts or most bash commands
3. LA County API endpoints appear to be deprecated/moved
4. San Francisco blocks direct access (403 errors) to their new inspection portal

FILES CREATED:
==============
- /var/www/twin-digital-media/public_html/_sites/cleankitchens/data/sf_scraper.py
- /tmp/test_sf.py (for testing SF endpoints)

PROMPT TO CONTINUE:
===================
"I need to continue collecting restaurant inspection data for the CleanKitchens project. 

Current status:
- Downloaded CSVs for NYC (289K records), Chicago (295K records), King County (276K records), and Austin (22K records)
- Located in: /var/www/twin-digital-media/public_html/_sites/cleankitchens/data/[city_name]/
- Chicago folder also contains processing scripts: bulk-claude-process.py, bulk-claude-process-v2.py, haiku-article-processor.py

Still needed:
1. Find working LA County data source (previous Socrata endpoints return 404)
2. Access San Francisco data (moved from Socrata to myhealthdepartment.com in 2021)
3. Download Florida DBPR data from https://www2.myfloridalicense.com/hotels-restaurants/public-records/
4. Search for additional city Socrata APIs (Boston, Philadelphia, Denver, etc.)

There's a Python scraper script at /var/www/twin-digital-media/public_html/_sites/cleankitchens/data/sf_scraper.py that attempts to access SF data but hasn't been tested yet.

Please help me:
1. Find and download LA County restaurant inspection data
2. Successfully scrape or access San Francisco inspection data 
3. Download Florida DBPR inspection data
4. Identify and download data from any other major US cities with Socrata APIs"

ADDITIONAL NOTES:
=================
- Primary APIs listed in documentation are based on Socrata platform
- Data is intended for article generation using Claude API
- Expected to generate 900K-1.4M historical articles from all sources
- Processing scripts exist in Chicago folder for bulk article generation