SkipTheDishes Data Scraper

Enhance Customer Feedback Analysis and Sentiment Monitoring

Collect Detailed Customer Ratings and Reviews to Improve Service

customer_reviews = scraper.get_customer_reviews(restaurant_id="12345")

# Retrieves ratings and reviews for a restaurant's menu items, providing valuable insights into customer satisfaction and preferences

Monitor Sentiment Trends Over Time to Measure Customer Satisfaction

review_sentiment = scraper.analyze_review_sentiment(customer_reviews)

# Analyzes customer feedback sentiment over time to identify patterns, helping businesses enhance customer experience and service quality

Optimize Pricing Strategies and Track Discounts in Real-Time

Scrape Ongoing Promotions, Discounts, and Limited-Time Offers for Competitive Edge

current_promotions = scraper.get_active_promotions(restaurant_id="12345")

# Retrieves the most current promotions, discounts, and limited-time offers available on menu items, allowing businesses to optimize marketing and pricing strategies

Track Price Changes and Adjustments Across Multiple Items for Profit Maximization

price_changes = scraper.get_price_changes(restaurant_id="12345", item_id="67890")

# Monitors price adjustments in real-time for specific menu items to help adjust pricing dynamically and maintain competitiveness

Ensure Data Validation and Accuracy for Reliable Business Decisions

Conduct Test Scrapes to Validate Data Accuracy and Integrity

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

# Runs a test scrape to verify the accuracy and reliability of the extracted data, ensuring that the collected information is precise and valid for business use

Validate Data Structure for Seamless Integration with Analytical Tools

is_valid_format = scraper.validate_data_format(test_data, format="json")
                        

# Checks whether the extracted data adheres to the required structure (e.g., JSON), ensuring smooth integration with analytical tools for further 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)