While scraping product info from

CodePudding user response：

In case you like to scrape all the class names that starts with product_cat- you could do that with following comprehension - It iterates over your products, pick the values of class as list, iterate it and only return these names that startswith() your pattern.

Note: comprehension is based on a set, so you will avoid duplicate class names:

set(c.split('product_cat-')[-1] for p in products for c in p.get('class') if c.startswith('product_cat-'))
#output
{'pasy-napedowe', 'uszczelnienia-hydrauliki-silowej', 'lozyska', 'lancuchy-i-kola-lancuchowe', 'uncategorized'}

Including above approach in to your process, to get class information for each product, you could use next() to iterate the class names:

cat = next(c.split('product_cat-')[-1] for c in product.get('class') if c.startswith('product_cat-'))

Example

...
products = soup.find('ul', {'class':re.compile('^products')}).find_all('li')

data = []

for product in products:
    try:
        productName = product.find('span',{'class':'sku'}).text
    except:
        productName = 'none'

    try:
        cat = next(c.split('product_cat-')[-1] for c in product.get('class') if c.startswith('product_cat-'))
    except:
        cat = 'none'

    data.append({
        'productName':productName,
        'cat':cat
    })
df = pd.DataFrame(data)
df.to_csv('products.csv', index=False)

Output

CodePudding user response：

You could use a lambda function and use startsWith function, like so:

products = soup.findAll("li", {"class" : lambda L: L and L.startswith('product_cat-')})

or alternatively use regular expression, like the following:

products = soup.findAll("li", {"class" : re.compile('product_cat-.*')})