Unlock actionable business intelligence with our Trendyol Scraper, designed for comprehensive Trendyol Data Scraping to extract accurate product, pricing, seller, and category information. This solution enables businesses to monitor real-time marketplace trends, track competitor activity, and optimize strategies efficiently, ensuring data-driven decisions at scale in the fast-moving e-commerce environment.
Capture live product prices, availability, and stock levels across multiple sellers using Trendyol Product Scraper for fast and accurate marketplace insights.
Analyze customer reviews and ratings to uncover satisfaction trends, buying behavior, and product performance across grocery categories.
Extract complete product information including titles, descriptions, prices, and inventory using Trendyol Product Listings Scraper for seamless analytics.
Monitor top-selling products, new arrivals, and seasonal demand shifts to optimize assortment planning and promotional strategies.
Track competitor product visibility, category rankings, and brand presence using Trendyol Product Catalog Scraping for smarter market positioning.
Continuously track stock levels and availability to prevent out-of-stock scenarios and ensure efficient supply chain decisions.
import requests
from bs4 import BeautifulSoup
# Headers to mimic a real browser
HEADERS = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)",
"Accept-Language": "en-US,en;q=0.9",
}
def scrape_trendyol_product(url):
response = requests.get(url, headers=HEADERS)
if response.status_code != 200:
print("Failed to fetch page:", response.status_code)
return None
soup = BeautifulSoup(response.text, "lxml")
product_data = {
"Product_Name": soup.find("h1", {"class": "pr-new-br"}).text.strip()
if soup.find("h1", {"class": "pr-new-br"}) else "N/A",
"Price": soup.find("span", {"class": "prc-dsc"}).text.strip()
if soup.find("span", {"class": "prc-dsc"}) else "N/A",
"Seller": soup.find("a", {"class": "merchant-name"}).text.strip()
if soup.find("a", {"class": "merchant-name"}) else "N/A",
"Stock_Status": soup.find("div", {"class": "pr-stk-msg"}).text.strip()
if soup.find("div", {"class": "pr-stk-msg"}) else "N/A",
"Rating": soup.find("div", {"class": "rating-star"}).text.strip()
if soup.find("div", {"class": "rating-star"}) else "N/A"
}
return product_data
# Example Trendyol product URL (Replace with a real product URL)
trendyol_product_url = "https://www.trendyol.com/product/example"
data = scrape_trendyol_product(trendyol_product_url)
# Print extracted data
print(data)
Utilize Trendyol Product Catalog Scraping to monitor real-time pricing trends across grocery and retail listings, enabling precise and strategic price optimization decisions.
Maintain accurate inventory visibility across multiple sellers using Automated Trendyol Data Collection, ensuring availability and preventing out-of-stock situations efficiently.
Leverage Trendyol Product Listings Scraper to identify emerging category trends, seasonal demand shifts, and high-performing products for data-driven planning.
Implement Trendyol Scraping for Brand Monitoring to track competitor activity, product ratings, and marketplace visibility, supporting informed brand strategy decisions.
Use Trendyol Product Scraper to capture detailed grocery product information, pricing, and inventory efficiently for structured analytics integration.
Leverage Trendyol Scraping for Brand Monitoring to track competitor listings, product ratings, and grocery brand performance continuously across the marketplace.
Implement Automated Trendyol Data Collection to schedule recurring crawls, ensuring grocery product, pricing, and stock updates are consistently captured.
Employ Trendyol Pricing Intelligence to analyze dynamic grocery pricing trends, optimize product strategies, and make informed revenue-maximizing decisions.
Ensure all data extraction activities follow legal and ethical guidelines when using the Trendyol Scraper, maintaining responsible and compliant marketplace intelligence practices.
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