Amazon Bestsellers contains valuable data -- products, badge, sales_volume, price, and more. Scraping this data directly means dealing with anti-bot detection, CAPTCHAs, IP rotation, and constantly breaking selectors. The Scavio API handles all of that and returns clean, structured JSON from a single POST request.
This tutorial shows you how to scrape Amazon Bestsellers using Python and the Scavio API. By the end, you will have a working Python script that fetches real-time Amazon Bestsellers data and parses the results.
Prerequisites
- Python installed on your machine
- A Scavio API key (free tier includes 50 credits on signup -- no credit card required)
Step 1: Install Dependencies
Install requests to make HTTP requests:
pip install requestsStep 2: Make Your First Amazon Bestsellers Search
Send a POST request to the Scavio Amazon Bestsellers API endpoint with your query. The API returns structured JSON with products, badge, sales_volume, and more.
# There is no bestsellers endpoint and Amazon search takes no sort parameter, so this is
# the marketplace's default ranking for the query, not the Best Sellers chart. Store
# position per ASIN on each run to see movement.
import requests
API_KEY = "sk_live_your_key"
query = "electronics bestsellers"
response = requests.post(
"https://api.scavio.dev/api/v1/amazon/search",
headers={
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json",
},
json={"query": query, "country": "us"},
timeout=60,
)
response.raise_for_status()
data = response.json()
rows = (data.get("data") or {}).get("products") or []
for row in rows[:5]:
print(row.get("position"))
print(" ", row.get("title"), row.get("asin"), row.get("price"), row.get("rating"))Step 3: Example Response
The API returns structured JSON. Here is an example response for a Amazon Bestsellers search:
{
"data": {
"query": "electronics",
"page": 1,
"count": 16,
"products": [
{
"asin": "B0GRVFY42Q",
"title": "HP 15.6\" FHD Laptop 2026 Edition, Intel Processor, 8GB RAM",
"price": 414.99,
"currency": "USD",
"rating": 4.2,
"reviews_count": 517,
"position": 3,
"sales_volume": "2K+ bought in past month"
}
]
},
"response_time": 3160,
"credits_used": 1,
"credits_remaining": 4807
}Every field is structured and typed -- no HTML parsing, no CSS selectors, no regex extraction. Your Python code can access any field directly.
Step 4: Full Working Example
Here is a complete, runnable Python script that searches Amazon Bestsellers and prints the results:
"""
Search Amazon Bestsellers data with the Scavio API.
POST /api/v1/amazon/search - rows come back under data.products, 1 credit per call.
"""
import json
import os
import requests
# There is no bestsellers endpoint and Amazon search takes no sort parameter, so this is
# the marketplace's default ranking for the query, not the Best Sellers chart. Store
# position per ASIN on each run to see movement.
API_URL = "https://api.scavio.dev/api/v1/amazon/search"
API_KEY = os.environ["SCAVIO_API_KEY"]
def search_amazon_bestsellers(query: str) -> dict:
response = requests.post(
API_URL,
headers={
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json",
},
json={"query": query, "country": "us"},
timeout=60,
)
response.raise_for_status()
return response.json()
if __name__ == "__main__":
data = search_amazon_bestsellers("electronics bestsellers")
print(json.dumps(data, indent=2))
rows = (data.get("data") or {}).get("products") or []
for row in rows[:5]:
print(row.get("position"))
print(" ", row.get("title"), row.get("asin"), row.get("price"), row.get("rating"))Why Use Scavio Instead of Scraping Amazon Bestsellers Directly?
- No proxy management. Direct scraping requires rotating proxies to avoid IP bans. Scavio handles all of this server-side.
- No CAPTCHA solving. Amazon Bestsellers aggressively blocks automated requests. Scavio returns clean data every time.
- Structured JSON output. No HTML parsing or CSS selector maintenance. Get typed, consistent data from every request.
- Multi-platform in one API. Search Google, Amazon, YouTube, and Walmart from the same API key with the same authentication pattern.
- Free tier included. 50 credits on signup with no credit card required. Each search costs 1 credit.