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>
32 lines
1.2 KiB
Org Mode
32 lines
1.2 KiB
Org Mode
* [X] t1.1: scrape one forum (1)
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Use https://www.townhall.virginia.gov/L/comments.cfm?GDocForumID=452 as the first forum. Scraper should be run manually at this step.
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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
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Append forum id to viewall per forum (townhall.virginia.gov/L/ViewComments.cfm?GdocForumID=452)
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Comments are hydrated in backend via js-cued button (AJAX?)
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** acceptance criteria
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1. run manual scraper
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1. store proposal title and description
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2. store comment title, commenter, date
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3. store relevant metadata
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2. friendly/polite scraping
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** notes
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** evidence
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- commit: (see below)
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- tests: 7 passing (pytest tests/)
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- datetime: 2026-05-05 12:26
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* [ ] t1.2: initial analysis pipeline
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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.
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** acceptance criteria
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1. run manual sentiment analysis of selected file against haiku
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2. run manual sentiment analysis of selected file against gpt-4o
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** notes
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** evidence
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- commit:
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- tests:
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- date:
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