eulaly
beb5cf461b
Spider fetches ViewComments.cfm?GdocForumID=N with vPerPage=500, generates all page requests from page-1 metadata, and parses each div.Cbox for comment_id, author, date, title, text, reg_title, reg_desc. Handles span-wrapped comment text. Fixes UTF-8/windows-1251 meta-tag encoding mismatch. 9083 items, 15 empty-text (0.17%). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
1.2 KiB
1.2 KiB
[X] t1.1: scrape one forum (1)
Use https://www.townhall.virginia.gov/L/comments.cfm?GDocForumID=452 as the first forum. Scraper should be run manually at this step. ViewComments (townhall.virginia.gov/L/ViewComments.cfm?CommentID=#) appears to be raw list of all comments on forum - could be useful later for whole-scrape Append forum id to viewall per forum (townhall.virginia.gov/L/ViewComments.cfm?GdocForumID=452) Comments are hydrated in backend via js-cued button (AJAX?)
acceptance criteria
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run manual scraper
- store proposal title and description
- store comment title, commenter, date
- store relevant metadata
- friendly/polite scraping
notes
evidence
- commit: (see below)
- tests: 7 passing (pytest tests/)
- datetime: 2026-05-05 12:26
[ ] t1.2: initial analysis pipeline
Write a simple pipeline for both - prefer non-concurrent/async from scraping run. Should be run manually, separate from scraper. You may use scrapy, but are not required to.
acceptance criteria
- run manual sentiment analysis of selected file against haiku
- run manual sentiment analysis of selected file against gpt-4o
notes
evidence
- commit:
- tests:
- date: