Delete Scraper.py

Scraper.py

@@ -1,150 +0,0 @@
-import time
-import random
-import re
-from datetime import datetime
-import pandas as pd
-from selenium import webdriver
-from selenium.webdriver.common.by import By
-from selenium.webdriver.chrome.options import Options
-from selenium.webdriver.chrome.service import Service
-from selenium.webdriver.support.ui import WebDriverWait
-from selenium.webdriver.support import expected_conditions as EC
-
-def scrape_amazon(search_term, pincode, num_pages=5):
-    options = Options()
-    options.add_argument('--headless')
-    options.add_argument('--disable-blink-features=AutomationControlled')
-    options.add_argument('--disable-gpu')
-    options.add_argument('--no-sandbox')
-
-    driver = webdriver.Chrome(service=Service(), options=options)
-
-    all_products = []
-    seen_titles = set()
-
-    for page in range(1, num_pages + 1):
-        url = f"https://www.amazon.in/s?k={search_term}&page={page}"
-        driver.get(url)
-
-        time.sleep(random.uniform(3, 5))
-
-        driver.execute_script("window.scrollTo(0, document.body.scrollHeight);")
-        time.sleep(random.uniform(2, 4))
-
-        products = driver.find_elements(By.XPATH, "//div[@data-component-type='s-search-result']")
-        print(f"Scraping page {page}, found {len(products)} products...")
-
-        for product in products:
-            try:
-                title_elem = product.find_element(By.XPATH, ".//h2//span")
-                title = title_elem.text.strip()
-            except:
-                title = "No Title"
-
-            if title in seen_titles:
-                continue
-            seen_titles.add(title)
-
-            try:
-                link_elem = product.find_element(By.XPATH, ".//a[@class='a-link-normal s-no-outline']")
-                link = link_elem.get_attribute('href')
-                if link and link.startswith("/"):
-                    link = "https://www.amazon.in" + link
-            except:
-                link = "No Link"
-
-            try:
-                price_elem = product.find_element(By.XPATH, ".//span[@class='a-price-whole']")
-                selling_price = (price_elem.text).replace(',', '').strip()
-            except:
-                try:
-                    price_elem = product.find_element(By.XPATH, ".//span[@class='a-offscreen']")
-                    selling_price = price_elem.text.replace('₹', '').replace(',', '').strip()
-                except:
-                    selling_price = "No Price"
-
-            try:
-                mrp_elem = product.find_element(By.XPATH, ".//span[@class='a-price a-text-price']//span[@class='a-offscreen']")
-                mrp = mrp_elem.get_attribute("textContent").replace('₹', '').replace(',', '').strip()
-            except:
-                mrp = "No Price"
-
-            try:
-                if selling_price != "No Price" and mrp != "No Price":
-                    discount_percent = round(100 * (float(mrp) - float(selling_price)) / float(mrp), 2)
-                else:
-                    discount_percent = 0.0
-            except:
-                discount_percent = 0.0
-
-            try:
-                grammage_match = re.search(r'(\d+\.?\d*\s?(ml|g|kg|l))', title.lower())
-                grammage = grammage_match.group(0) if grammage_match else "No Grammage"
-            except:
-                grammage = "No Grammage"
-
-            try:
-                badge = product.find_element(By.XPATH, ".//div[contains(@class, 'a-color-secondary')]//span[contains(translate(text(), 'ABCDEFGHIJKLMNOPQRSTUVWXYZ', 'abcdefghijklmnopqrstuvwxyz'), 'deal') or contains(translate(text(), 'ABCDEFGHIJKLMNOPQRSTUVWXYZ', 'abcdefghijklmnopqrstuvwxyz'), 'coupon') or contains(translate(text(), 'ABCDEFGHIJKLMNOPQRSTUVWXYZ', 'abcdefghijklmnopqrstuvwxyz'), 'save') or contains(translate(text(), 'ABCDEFGHIJKLMNOPQRSTUVWXYZ', 'abcdefghijklmnopqrstuvwxyz'), 'limited')]")
-                deal_tag = badge.text.strip()
-            except:
-                deal_tag = "No Deal"
-
-            try:
-                qty = product.find_element(By.XPATH, ".//span[contains(text(),'bought in past month')]").text.strip()
-            except:
-                qty = "No data"
-
-            try:
-                rating_elem = product.find_element(By.XPATH, ".//span[@class='a-icon-alt']")
-                rating = rating_elem.get_attribute("textContent").split()[0]
-            except:
-                rating = "No Rating"
-
-            try:
-                reviews = product.find_element(By.XPATH, ".//a[contains(@aria-label,'ratings')]/span").text.strip()
-            except:
-                reviews = "No Reviews"
-
-            try:
-                ad_elem = product.find_element(By.XPATH, ".//span[contains(@class, 'a-color-secondary') and contains(text(), 'Sponsored')]")
-                ad_status = "Ad"
-            except:
-                ad_status = "Not Ad"
-
-            product_data = {
-                'Title': title,
-                'Grammage': grammage,
-                'Selling Price': selling_price,
-                'MRP': mrp,
-                'Discount %': discount_percent,
-                'Deal Tags': deal_tag,
-                'Quantity Bought': qty,
-                'Rating': rating,
-                'Reviews': reviews,
-                'Link': link,
-                'Ad/Not Ad': ad_status,
-                'Date': datetime.now().strftime("%d-%m-%Y"),
-                'Search Term': search_term,
-                'Pincode': pincode,
-                'Category': search_term,
-            }
-
-            all_products.append(product_data)
-
-        time.sleep(random.uniform(2, 4))
-
-    driver.quit()
-
-    df = pd.DataFrame(all_products)
-
-    today_date = datetime.now().strftime("%Y-%m-%d")
-    filename_base = f"{search_term}_scrape_{today_date}.xlsx"
-    df.to_excel(filename_base, index=False)
-
-    print(f"\nSaved: {filename_base}")
-    return filename_base
-
-
-#  Interface function for Gradio
-def scrape_amazon_interface(search_term, pincode, num_pages):
-    return scrape_amazon(search_term, pincode, num_pages)