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 Rust and the Scavio API. By the end, you will have a working Rust script that fetches real-time Amazon Bestsellers data and parses the results.
Prerequisites
- Rust installed on your machine
- A Scavio API key (free tier includes 50 credits on signup -- no credit card required)
Step 1: Install Dependencies
Install reqwest to make HTTP requests:
cargo add reqwest serde_json tokio --features reqwest/json,tokio/fullStep 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.
use reqwest::Client;
use serde_json::{json, Value};
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let api_key = "sk_live_your_key";
let query = "electronics bestsellers";
let client = Client::new();
let response = client
.post("https://api.scavio.dev/api/v1/amazon/search")
.header("Authorization", format!("Bearer {}", api_key))
.json(&json!({ "query": query, "country": "us" }))
.send()
.await?;
let data: Value = response.json().await?;
println!("{}", serde_json::to_string_pretty(&data)?);
Ok(())
}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 Rust code can access any field directly.
Step 4: Full Working Example
Here is a complete, runnable Rust script that searches Amazon Bestsellers and prints the results:
use reqwest::Client;
use serde_json::{json, Value};
use std::env;
/// Search Amazon Bestsellers data with the Scavio API.
/// POST /api/v1/amazon/search - rows come back under data.products.
// 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.
const API_URL: &str = "https://api.scavio.dev/api/v1/amazon/search";
async fn search_amazon_bestsellers(query: &str) -> Result<Value, Box<dyn std::error::Error>> {
let api_key = env::var("SCAVIO_API_KEY")?;
let client = Client::new();
let response = client
.post(API_URL)
.header("Authorization", format!("Bearer {}", api_key))
.json(&json!({ "query": query, "country": "us" }))
.send()
.await?;
if !response.status().is_success() {
return Err(format!("Scavio API error: {}", response.status()).into());
}
Ok(response.json().await?)
}
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let data = search_amazon_bestsellers("electronics bestsellers").await?;
println!("{}", serde_json::to_string_pretty(&data)?);
Ok(())
}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.