blob: 0e9702efbbfe0b06b36ef12ba3225c584695aca3 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
|
# Improvement: fix accents
import json
import urllib.request
import time
from bs4 import BeautifulSoup
links = []
with urllib.request.urlopen('https://www.lanutrition.fr/les-aliments-a-la-loupe') as fp:
content = fp.read()
soup = BeautifulSoup(content, 'html.parser')
for link in soup.find(id='nutriments_by_alpha').find_all('a'):
href = link.get('href')
links.append(f'https://www.lanutrition.fr{href}')
def extractCarbohydrates(soup):
try:
return float(soup
.find('div', {"name": 'glucides'})
.find(class_='value-weight')
.get_text()
.split(' ')[0])
except:
return None
def extractGlycemicIndex(soup):
try:
n = int(soup
.find(class_='aliment-poids')
.find(class_='nombre')
.get_text())
if n > 0:
return n
except:
return None
aliments = []
for link in links:
print(link)
time.sleep(0.5)
with urllib.request.urlopen(link) as fp:
content = fp.read()
soup = BeautifulSoup(content, 'html.parser')
name = soup.find('h1', {"id": 'page-title'}).get_text()
carbohydrates = extractCarbohydrates(soup)
glycemicIndex = extractGlycemicIndex(soup)
if name is not None and carbohydrates is not None and glycemicIndex is not None:
print('+')
aliments.append({
"name": name,
"glycemicIndex": glycemicIndex,
"carbohydrates": carbohydrates
})
else:
print('-')
with open('export.json', 'w') as f:
f.write(json.dumps(aliments))
|
