Decathalon Quick Commerce Scraper

Stay Ahead with Real-Time Deals and Dynamic Pricing Adjustments

Scrape Decathalon latest discounts, festive sales, and exclusive offers to optimize pricing and marketing campaigns.

current_deals = scraper.get_deals

# Retrieves ongoing discounts and promotional offers in a specific category.

Track real-time price fluctuations and limited-time offers to adjust your pricing for maximum profitability.

price_changes = scraper.get_price_changes(product_id="12345")

# Monitors price changes to make timely pricing adjustments.

Decode Market Trends with Historical Pricing & Competitive Benchmarking

Analyze past pricing trends to understand seasonal fluctuations and optimize discount strategies.

historical_prices = scraper.get_historical_prices(product_id="12345")

# Fetches historical price trends to refine pricing strategies.

Compare price variations across different sellers and brands to ensure competitive positioning.

competitor_prices = scraper.get_prices_from_sellers(product_id="12345")

# Compares competitor prices to maintain a competitive edge in the e-commerce industry.

Ensure Accuracy with Data Validation & Seamless Integration

Conduct test scrapes to verify the accuracy of extracted product data and ensure smooth system integration.

test_data = scraper.test_scrape(product_id="12345")

# Runs a test scrape to check data extraction accuracy.

Validate that the collected data adheres to structured formats (e.g., JSON) for easy integration with analytical tools.

if scraper.validate_data_format(test_data, format="json"): 
                        print("Data format is correct.")
                        

# Ensures scraped data is structured properly for seamless processing.

Try our Amazon endpoint

Create a free ScraperAPI account to get 5,000 API credits, add your API key to the api_key parameter, and copy and run the script below in a new Python project.

                        import requests
import json

payload = {
    'api_key': 'YOUR_API_KEY', #add your API key here
    'query': 'antec performance 1 ft',
    'country': 'us'
}

#send your request to scraperapi
response = requests.get('https://api.scraperapi.com/structured/amazon/search', params=payload)
data = response.json()

#export the JSON response to a file
with open('data.json', 'w') as f:
    json.dump(data, f)