Example usage of Amazon scraper

scraper.py

from apify_client import ApifyClient

# Initialize the ApifyClient with your API token
client = ApifyClient("<YOUR_API_TOKEN>")

# Scraping individual products
run_input_individual_products = {
    "asins": ["B0BN72FYFG", "B0BN92X6XK"], # Add more ASINs as you like
    "ranking": "none",
}

# Or scraping ranking categories
run_input_ranking = {
    "ranking": "best_seller", # or "new_release", "most_wished", "movers"
    # Below remove categories that you don't need!
    "categories": [
        "Amazon Devices & Accessories", "Amazon Renewed", "Appliances", "Arts, Crafts & Sewing",
        "Audible Books & Originals", "Automotive", "Baby", "Beauty & Personal Care", "Books",
        "Camera & Photo Products", "CDs & Vinyl", "Cell Phones & Accessories", "Climate Pledge Friendly",
        "Clothing, Shoes & Jewelry", "Collectible Coins", "Computers & Accessories",
        "Digital Educational Resources", "Electronics", "Entertainment Collectibles",
        "Gift Cards", "Grocery & Gourmet Food", "Handmade Products", "Health & Household",
        "Home & Kitchen", "Industrial & Scientific", "Kindle Store", "Kitchen & Dining",
        "Movies & TV", "Musical Instruments", "Office Products", "Patio, Lawn & Garden",
        "Pet Supplies", "Software", "Sports & Outdoors", "Sports Collectibles",
        "Tools & Home Improvement", "Toys & Games", "Unique Finds", "Video Games"
    ],
}

# Run the Actor and wait for it to finish
# Use either run_input_individual_products or run_input_ranking
run = client.actor("8Ye7PvtjobDZrNMFK").call(run_input=run_input_individual_products)

# Fetch and print Actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)