GIANT Food Grocery Data Scraper - Extract Giant Food Grocery & Gourmet Food Data

Track Deals and Pricing Shifts for Strategic Advantage

Scrape current promotions, limited-time offers, and bundle deals to optimize your pricing strategy and stay ahead of competitors.

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

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

Track price fluctuations and flash sales to dynamically adjust pricing and stay competitive during sales events.

price_changes = scraper.get_price_changes(product_id="67890")

# Monitors price changes for a product, allowing timely pricing adjustments.

Analyze Historical Pricing Trends and Competitor Insights

Gather historical price data to uncover trends and make informed pricing decisions.

historical_prices = scraper.get_historical_prices(product_id="67890")

# Fetches historical pricing data to analyze trends and adjust pricing strategies.

Compare prices from different vendors to identify the best offers and ensure competitive pricing.

competitor_prices = scraper.get_prices_from_sellers(product_id="67890")

# Compares prices from various sellers to help businesses set competitive prices.

Test Scraper Functionality and Ensure Data Accuracy

Perform test scrapes to verify the tool pulls accurate product data, ensuring smooth integration for business use.

test_data = scraper.test_scrape(product_id="67890")

# Runs a test scrape to check if data is correctly extracted from the product page.

Validate that the scraped data meets the required format (e.g., JSON) for easy integration with your systems.

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

# Ensures scraped data is in JSON format for seamless integration with 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)