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vkbl_scraper.py
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vkbl_scraper.py
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#!/usr/bin/env python3
"""VkBl-Scraper.
Usage:
vkbl_scaper.py <outputfile> [update | <minyear> [<maxyear>]]
vkbl_scaper.py -h | --help
vkbl_scaper.py --version
Options:
-h --help Show this screen.
--version Show version.
Examples:
vkbl_scaper.py data/vkbl.json
"""
import re
from pathlib import Path
import json
import time
import datetime
import requests
import lxml.html
def get_url(url):
response = requests.get(url)
response.encoding = 'latin1'
return response.text
def ctext(el):
result = []
if el.text:
result.append(el.text)
for sel in el:
if sel.tag in ["br"]:
result.append(ctext(sel))
result.append('\n')
else:
result.append(ctext(sel))
if sel.tail:
result.append(sel.tail)
return "".join(result)
slugify_re = re.compile('[^a-z]')
def slugify(key):
return slugify_re.sub('', key.lower())
class VkblScraper:
URL = 'http://www.verkehr-data.com/docs/artikelsuche.php?seitenzahl=1' \
'&anzahl=10000&start=0&Titel=&Datum=&Muster=&Muster2=&Jahrgang=%d' \
'&VerordnungsNr=&Seite=&Bereichsname=&DB=&Aktenzeichen='
PRICE_RE = re.compile(r'Preis: (\d+,\d+) \((\d+) Seite')
def scrape(self, low=1947, high=datetime.datetime.now().year):
items = {}
total_sum = 0
for year in range(low, high + 1):
tries = 0
while True:
try:
response = get_url(self.URL % year)
except Exception:
tries += 1
if tries > 10:
raise
time.sleep(2 * tries)
continue
else:
break
root = lxml.html.fromstring(response)
total_sum += len(root.cssselect(".tabelle2"))
print(year, len(root.cssselect(".tabelle2")))
for i, table in enumerate(root.cssselect(".tabelle2")):
trs = table.cssselect('tr')
header = trs[0].cssselect('td')[0].text_content().strip()
print(i, header)
try:
genre, edition = header.split('\xa0 ')
edition = edition.split(' ')[2]
except ValueError:
genre = header
edition = ''
title = ctext(trs[1].cssselect('td')[0]).replace(
'Titel:', '').strip().splitlines()
title = [t.strip() for t in title if t.strip()]
title, description = title[0], '\n'.join(title[1:])
extra = {}
for tr in trs[2:]:
tds = tr.cssselect('td')
if len(tds) == 2:
key = tds[0].text_content().replace(':', '').strip()
value = tds[1].text_content().strip()
extra[slugify(key)] = value
elif len(tds) == 1:
if tds[0].cssselect('img[src="../images/orange.gif"]'):
extra['link'] = tds[0].cssselect(
'a')[0].attrib['href']
extra['vid'] = extra['link'].split('=')[-1]
match = self.PRICE_RE.search(tds[0].text_content())
extra['price'] = float(
match.group(1).replace(',', '.'))
extra['pages'] = int(match.group(2))
data = dict(extra)
data.update({
'genre': genre,
'edition': edition,
'title': title,
'description': description
})
year = data.get('jahr', '')
vonnummer = data.get('vonummer', '')
seite = data.get('seite', '')
aktenzeichen = data.get('aktenzeichen', '')
ident = f"{year}.{vonnummer}.{seite}.{aktenzeichen}"
items[ident] = data
print(total_sum, len(items))
return items
def main(arguments):
vkbl = VkblScraper()
data = {}
if Path(arguments['<outputfile>']).exists():
with open(arguments['<outputfile>']) as f:
data = json.load(f)
minyear = int(arguments['<minyear>'] or 1947)
maxyear = int(arguments['<maxyear>'] or datetime.datetime.now().year)
if arguments['update'] and len(data) > 0:
minyear = max([int(item['jahr']) for item in data.values()])
data.update(vkbl.scrape(minyear, maxyear))
with open(arguments['<outputfile>'], 'w') as f:
json.dump(data, f, indent=4)
if __name__ == '__main__':
from docopt import docopt
arguments = docopt(__doc__, version='VkBl-Scraper 0.0.1')
main(arguments)