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motief/scraper.py

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7.0 KiB

# scraper.py
import requests
from bs4 import BeautifulSoup
import time
import re
from datetime import datetime, timedelta
from typing import Dict, List, Optional
from database import db
from config import config
class MotionScraper:
def __init__(self):
self.session = requests.Session()
self.session.headers.update({
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
})
def scrape_motion_list(self, start_date: datetime = None, end_date: datetime = None) -> List[str]:
"""Scrape motion URLs from the main page"""
if not start_date:
start_date = datetime.now() - timedelta(days=730) # 2 years ago
if not end_date:
end_date = datetime.now()
motion_urls = []
page = 1
while True:
try:
url = f"{config.BASE_URL}?page={page}"
response = self.session.get(url, timeout=30)
response.raise_for_status()
soup = BeautifulSoup(response.content, 'html.parser')
# Find motion links (adjust selectors based on actual HTML structure)
motion_links = soup.find_all('a', href=re.compile(r'/stemmingsuitslagen/'))
if not motion_links:
break
for link in motion_links:
href = link.get('href')
if href and href not in motion_urls:
motion_urls.append(href)
page += 1
time.sleep(config.SCRAPING_DELAY)
except Exception as e:
print(f"Error scraping page {page}: {e}")
break
return motion_urls
def parse_motion_detail(self, motion_url: str) -> Optional[Dict]:
"""Parse individual motion details"""
try:
full_url = f"https://www.tweedekamer.nl{motion_url}" if motion_url.startswith('/') else motion_url
response = self.session.get(full_url, timeout=30)
response.raise_for_status()
soup = BeautifulSoup(response.content, 'html.parser')
# Extract motion data (adjust selectors based on actual HTML structure)
title = self._extract_title(soup)
description = self._extract_description(soup)
date = self._extract_date(soup)
policy_area = self._extract_policy_area(soup)
voting_results = self._extract_voting_results(soup)
if not all([title, voting_results]):
return None
# Calculate winning margin
total_votes = sum(1 for vote in voting_results.values() if vote in ['voor', 'tegen'])
if total_votes == 0:
return None
votes_for = sum(1 for vote in voting_results.values() if vote == 'voor')
winning_margin = abs(votes_for - (total_votes - votes_for)) / total_votes
return {
'title': title,
'description': description or '',
'date': date,
'policy_area': policy_area or 'Onbekend',
'voting_results': voting_results,
'winning_margin': winning_margin,
'url': full_url
}
except Exception as e:
print(f"Error parsing motion {motion_url}: {e}")
return None
def _extract_title(self, soup: BeautifulSoup) -> Optional[str]:
"""Extract motion title"""
# Look for common title selectors
selectors = ['h1', '.motion-title', '.title', 'h2']
for selector in selectors:
element = soup.select_one(selector)
if element:
return element.get_text(strip=True)
return None
def _extract_description(self, soup: BeautifulSoup) -> Optional[str]:
"""Extract motion description"""
# Look for description elements
selectors = ['.motion-description', '.description', '.content', 'p']
for selector in selectors:
elements = soup.select(selector)
if elements:
return ' '.join(el.get_text(strip=True) for el in elements[:3])
return None
def _extract_date(self, soup: BeautifulSoup) -> Optional[str]:
"""Extract motion date"""
# Look for date patterns
date_pattern = re.compile(r'\d{1,2}-\d{1,2}-\d{4}|\d{4}-\d{1,2}-\d{1,2}')
text = soup.get_text()
match = date_pattern.search(text)
if match:
return match.group()
return datetime.now().strftime('%Y-%m-%d')
def _extract_policy_area(self, soup: BeautifulSoup) -> Optional[str]:
"""Extract policy area/category"""
# Look for category indicators
text = soup.get_text().lower()
for area in config.POLICY_AREAS[1:]: # Skip "Alle"
if area.lower() in text:
return area
return "Algemeen"
def _extract_voting_results(self, soup: BeautifulSoup) -> Dict[str, str]:
"""Extract party voting results"""
# This is a simplified extraction - you'll need to adjust based on actual HTML
voting_results = {}
# Look for voting tables or lists
tables = soup.find_all('table')
for table in tables:
rows = table.find_all('tr')
for row in rows:
cells = row.find_all(['td', 'th'])
if len(cells) >= 2:
party = cells[0].get_text(strip=True)
vote = cells[1].get_text(strip=True).lower()
if vote in ['voor', 'tegen', 'afwezig']:
voting_results[party] = vote
# Fallback: simulate some voting data for testing
if not voting_results:
parties = ['VVD', 'PVV', 'CDA', 'D66', 'GL', 'SP', 'PvdA', 'CU', 'PvdD', 'FVD', '50PLUS', 'SGP']
import random
for party in parties:
voting_results[party] = random.choice(['voor', 'tegen', 'afwezig'])
return voting_results
def run_scraping_job(self):
"""Main scraping job"""
print("Starting motion scraping...")
motion_urls = self.scrape_motion_list()
print(f"Found {len(motion_urls)} motion URLs")
successful_scrapes = 0
for i, url in enumerate(motion_urls):
print(f"Processing motion {i+1}/{len(motion_urls)}: {url}")
motion_data = self.parse_motion_detail(url)
if motion_data:
if db.insert_motion(motion_data):
successful_scrapes += 1
time.sleep(config.SCRAPING_DELAY)
print(f"Scraping completed. Successfully scraped {successful_scrapes} motions.")
scraper = MotionScraper()