commit d0cb6f6a7dd3875ee7880076afaf26bc6910f0d0
Author: SamoilenkoVadym <119463579+SamoilenkoVadym@users.noreply.github.com>
Date:   Wed Nov 30 00:22:55 2022 +0000

    Add files via upload

diff --git a/main.py b/main.py
new file mode 100644
index 0000000..9a4fd21
--- /dev/null
+++ b/main.py
@@ -0,0 +1,115 @@
+# -*- coding: utf-8 -*-
+import time
+import json
+import requests
+from bs4 import BeautifulSoup
+from datetime import datetime
+import csv
+import pandas as pd
+import os
+
+
+
+
+
+def get_all_pages():
+    headers = {
+        "user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) "
+                      "Chrome/107.0.0.0 Safari/537.36 "
+    }
+
+    r = requests.get(url="https://www.foxtrot.com.ua/ru/shop/led_televizory.html", headers=headers)
+
+    if not os.path.exists("data"):
+        os.mkdir("data")
+
+    with open("data/page_1.html", "w", encoding="UTF-8") as file:
+        file.write(r.text)
+
+    with open("data/page_1.html", encoding="UTF-8") as file:
+        src = file.read()
+
+    soup = BeautifulSoup(src, "lxml")
+    pages_count = int(soup.find("nav", class_="listing__pagination").find_all("a")[-2].text)
+
+    for i in range(1, pages_count +  1):
+        url = f"https://www.foxtrot.com.ua/ru/shop/led_televizory.html?page={i}"
+
+        r = requests.get(url=url, headers=headers)
+
+        with open(f"data/page_{i}.html", "w", encoding="UTF-8") as file:
+            file.write(r.text)
+
+        time.sleep(2)
+
+    return pages_count + 1
+
+
+def collect_data(pages_count):
+    cur_date = datetime.now().strftime("%d_%m_%Y")
+
+    # with open(f"data_{cur_date}.csv", "w") as file:
+    #     writer = csv.writer(file)
+    #     writer.writerow(
+    #         (
+    #             "Model"
+    #             "Price"
+    #             "Url"
+    #         )
+    #     )
+
+
+
+    data = []
+    for page in range(1, pages_count):
+                with open(f"data/page_{page}.html", encoding="UTF-8") as file:
+                    src = file.read()
+
+                soup = BeautifulSoup(src, "lxml")
+                items_card = soup.find_all("div", class_="card__body")
+
+
+                for item in items_card:
+                    Model = item.find("a", class_="card__title").text.strip().split(" ")
+                    Price = item.find("div", class_="card-price").text.replace("₴", "").replace(" ", "").replace("\n", "")
+                    Lnk = item.find("div", class_="card-comment__title").get("href")
+                    Url = f'https://www.foxtrot.com.ua{Lnk}'
+                    Row = Model[1:], Price, Url
+                    data.append(Row)
+                    print(Row)
+
+
+
+                    # data.append(
+                    # {
+                    #     "Model": Model,
+                    #     "Price": Price,
+                    #     "URL": Url
+                    # }
+                    #  )
+                    # with open(f"data_{cur_date}.csv", "a") as file:
+                    #     writer = csv.writer(file)
+                    #     writer.writerow(
+                    #         (
+                    #             Model,
+                    #             Price,
+                    #             Url
+                    #         )
+                    #     )
+
+    print(f"[INFO] Обработана страница {page} /11 ")
+
+    with open(f"data_{cur_date}.json", "a", encoding="UTF-8") as file:
+        json.dump(data, file, indent=4, ensure_ascii=False)
+
+    df = pd.DataFrame(data, columns=['Model', 'Price', 'URL'])
+    df.to_csv(f'data_{cur_date}.csv', index=False, sep=';', encoding='utf-8')
+
+def main():
+    pages_count_2 = get_all_pages()
+    collect_data(pages_count=pages_count_2)
+
+
+if __name__ == '__main__':
+    main()
+