Automated Dealsea Deal And Coupon Scraper - Scrape Deals and Coupons from Dealsea.Com

Track Promotions and Pricing Changes for Competitive Advantage

Scrape the latest deals, discounts, and bundle offers to help businesses optimize pricing strategies and stay ahead of market trends.

current_deals = scraper.get_deals(category="electronics")

# Retrieves current promotions and discounts within a specific category, such as electronics.

Monitor price changes and flash sales to adjust pricing strategies dynamically. Track pricing fluctuations and identify flash sales, allowing businesses to react quickly to market conditions and secure the best deals.

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

# Monitors price changes for a given product, helping businesses stay competitive during sales events.

Analyze Pricing Trends and Competitive Market Insights

Scrape past product prices to detect trends and adjust business pricing strategies accordingly.

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

# Fetches historical pricing data for a product to analyze market trends over time.

Collect pricing information from various sellers to find the best deals and make informed pricing decisions.

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

# Compares prices from different sellers for a specific product, helping to set competitive prices.

Ensure Scraper Accuracy and Data Validation

Run test scrapes to check if the scraper retrieves data correctly, ensuring the tool functions as expected before scaling up.

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

# Runs a test scrape to ensure data is accurately extracted from the product page.

After scraping, validate the output data to ensure it's structured in the desired format, such as JSON, for integration with your systems.

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

# Validates that the scraped data is in JSON format for compatibility with other systems.

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)