Extract Detailed Product Insights for Informed Decisions
Use the scraper to gather essential product details, including name, description, category, and
stock levels, providing customers with relevant content to guide their purchasing decisions.
product_details = scraper.get_product_details(product_id="67890")
# Fetches detailed product information like name, description, category, and stock availability.
Capture product images, ratings, and reviews to build customer trust and gather feedback,
helping improve product offerings.
product_reviews = scraper.get_reviews(product_id="67890")
# Collects product reviews and ratings for sentiment analysis.
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)