• General Web Scraping

  What data can be extracted from Lidl.de promotions using Python?

  Posted by Soma Danilo on 12/21/2024 at 11:10 am

  Scraping promotional data from Lidl.de using Python allows you to track weekly offers, discounts, and product availability across a wide range of grocery and household items. Lidl is a major supermarket chain in Europe, and its website often features a dedicated section for ongoing promotions. Extracting data from this section requires you to identify elements such as product names, promotional prices, and expiry dates for deals. Using Python, you can automate the collection of this data, ensuring that you stay updated on current offers.
  The first step is to inspect Lidl.de’s promotional section and identify the HTML structure for the deals. You can then send HTTP requests to fetch the content and parse it to extract the necessary details. A key challenge when scraping Lidl’s promotional data is handling dynamically loaded content, which may require using headless browsers for accurate data retrieval. Below is an example Python script for scraping promotional details from Lidl.de.

  import requests
  from html.parser import HTMLParser
  class LidlPromoParser(HTMLParser):
      def __init__(self):
          super().__init__()
          self.in_promo_name = False
          self.in_promo_price = False
          self.promos = []
          self.current_promo = {}
      def handle_starttag(self, tag, attrs):
          attrs = dict(attrs)
          if tag == "h3" and "class" in attrs and "promo-title" in attrs["class"]:
              self.in_promo_name = True
          if tag == "span" and "class" in attrs and "promo-price" in attrs["class"]:
              self.in_promo_price = True
      def handle_endtag(self, tag):
          if self.in_promo_name and tag == "h3":
              self.in_promo_name = False
          if self.in_promo_price and tag == "span":
              self.in_promo_price = False
      def handle_data(self, data):
          if self.in_promo_name:
              self.current_promo["name"] = data.strip()
          if self.in_promo_price:
              self.current_promo["price"] = data.strip()
              self.promos.append(self.current_promo)
              self.current_promo = {}
  url = "https://www.lidl.de/"
  response = requests.get(url)
  parser = LidlPromoParser()
  parser.feed(response.text)
  for promo in parser.promos:
      print(f"Promo: {promo['name']}, Price: {promo['price']}")
  

  This script extracts promotional names and prices from Lidl.de’s promotional section. Additional functionality, such as capturing deal expiry dates or product images, can make the scraper more comprehensive. Randomizing request intervals helps avoid detection while ensuring smooth operation.

  Soma Danilo replied 18 hours, 19 minutes ago 1 Member · 0 Replies
• 0 Replies

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