Amazon Best Sellers Dataset
Get ranked data on Amazon’s best-selling products across all categories and marketplaces, including best sellers rank, price, ratings, review counts, brand, and category breakdowns. This dataset is ideal for e-commerce sellers, product researchers, brand managers, and market analysts looking to spot trending products, benchmark competitors, and make data-driven decisions on inventory, pricing, and product development.
Available Amazon Datasets
6.2K+
Trusted by 50,000+ customers worldwide
Amazon best sellers Datasets Pricing
- Clean and validated
- Refreshed monthly
- JSON/CSV/Parquet
Filter the Amazon best sellers dataset with a single prompt
Describe exactly what you need, and let AI apply the perfect filters in seconds.
- Describe data needs in plain English
- AI applies accurate filters automatically
- Narrow huge datasets to only what matters to you
- Cut costs by skipping irrelevant data
- Export filtered data in your preferred format
Maximize value with strategic cost savings
Smart data updates
Access only "New Records" or "Updated Records," ensuring you pay only for what you need".
Dataset bundles
Gain greater value by purchasing two or more datasets together, with exclusive discounts.
Volume discounts
Get more for less with significant savings when purchasing large datasets or updates subscriptions.
Enriched Datasets
Save time and resources with pre-built datasets that combine multiple sources into one clean dataset.
Amazon best sellers dataset sample
Use the Amazon best sellers dataset to discover top-ranked products, track rank movements, and spot emerging trends across Amazon categories and marketplaces. Analyze best sellers by category, subcategory, brand, and price range. Depending on your needs, you may purchase the entire dataset or a customized subset.
Other Amazon datasets
Power AI Agents Instantly
Our Amazon best sellers datasets are AI/LLM-optimized: clearly structured, well-documented, with code and recipes for easy LLM/chatbot integration.
Structured & Clean
Pre-processed data with consistent schemas, perfect for AI model training and inference.
Code Examples
Ready-to-use Python, Node.js, cURL, PHP, Go, Java, and Ruby snippets for easy integration with AI workflows.
Documentation
curl --request GET
--url https://api.brightdata.com/datasets/snapshots/{id}/download
--header 'Authorization: Bearer '
import requests
url = "https://api.brightdata.com/datasets/snapshots/{id}/download"
headers = {"Authorization": "Bearer "}
response = requests.get(url, headers=headers)
print(response.json())
const url = 'https://api.brightdata.com/datasets/snapshots/{id}/download';
const options = {method: 'GET', headers: {Authorization: 'Bearer '}, body: undefined};
try {
const response = await fetch(url, options);
const data = await response.json();
console.log(data);
} catch (error) {
console.error(error);
}
HttpResponse response = Unirest.get("https://api.brightdata.com/datasets/snapshots/{id}/download")
.header("Authorization", "Bearer ")
.asString();
require 'uri'
require 'net/http'
url = URI("https://api.brightdata.com/datasets/snapshots/{id}/download")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer '
response = http.request(request)
puts response.read_body
Amazon best sellers datasets tailored to your needs
Data subscription
Subscribe to access datasets at a significantly reduced cost.
File output formats
JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz compression.
Flexible delivery
Snowflake, Amazon S3 bucket, Google Cloud, Azure, and SFTP.
Scalable data
Scale without worrying about infra, proxy servers, or blocks.
Cost savings
Customize any dataset using filters and formatting options.
Code maintenance
Datasets are maintained based on website structure changes.
Simplified integrations
Benefit from integrations with Snowflake and AWS.
24/7 support
A dedicated team of data professionals is here to help.
Leaders in compliance
Data is ethically obtained and compliant with all privacy laws.
Get structured and reliable Amazon best sellers data
We’ll provide the data while you focus on the rest
High-volume web data
With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.
Data for immediate use
Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.
Automated data flow
Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.
Amazon best sellers dataset use cases
Spot Trending Products
Monitor Competition
Pricing & Inventory Strategy
Market & Category Research
Amazon Best Sellers Dataset FAQs
What data is included in the Amazon best sellers dataset?
The Amazon best sellers dataset includes different data points that fit your needs. Data points include product title, ASIN, best sellers rank, category and subcategory, brand, price, currency, discount, rating, reviews count, availability, seller name, main image, product URL, and more! Available from various Amazon domains and geo-locations.
Can I get updates for my purchased Amazon best sellers dataset?
Yes, you can get updates to your Amazon best sellers dataset on a daily, weekly, monthly, or custom basis. Frequent updates are especially useful for tracking rank changes and trending products.
Can I purchase a subset of the Amazon best sellers dataset?
Yes, you can purchase an Amazon best sellers subset that will include only the data points, categories, or marketplaces you need. By purchasing a subset, cost is reduced substantially.
Are Bright Data's Amazon best sellers datasets ethically sourced?
Bright Data prioritizes ethical data-sourcing practices. They adhere to strict ethical guidelines and comply with all relevant regulations to ensure that the data provided is obtained ethically and legally. Additionally, Bright Data is committed to maintaining the privacy and security of data subjects and users.
Can I trust the quality of Bright Data's Amazon best sellers datasets?
Yes. Each dataset undergoes rigorous quality assurance processes to ensure accuracy, reliability, and relevance. Additionally, we continuously update and refresh our datasets to reflect the latest information, ensuring that users always have access to the most current data.
What data formats and delivery methods does Bright Data support?
Data formats are available in JSON, NDJSON, CSV, XLSX and Parquet. Datasets can be delivered via Snowflake, Webhook, Google Cloud, Email, PubSub, Amazon S3, SFTP or Azure. You can also initiate requests through API for on-demand data.
Can I scrape Amazon's public best sellers data by myself?
If you don't want to purchase an Amazon best sellers dataset, you can start scraping Amazon best sellers data using our Amazon Scraper API, which supports discovery by best sellers URL.