Amazon Bestsellers Scraper avatar
Amazon Bestsellers Scraper

Pricing

$5.00 / 1,000 items

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Amazon Bestsellers Scraper

Amazon Bestsellers Scraper

Developed by

Junglee

Junglee

Maintained by Apify

Scrape the Amazon Best Sellers categories and extract details on top 100 most popular items on Amazon. Download product name, price, URL, and thumbnail image. Best used on .com, .co.uk, .de, .fr, .es, and .it domains. Download your data in various formats: HTML table, JSON, CSV, Excel, and more.

4.3 (7)

Pricing

$5.00 / 1,000 items

29

Total users

1.1k

Monthly users

110

Runs succeeded

81%

Issue response

16 hours

Last modified

2 days ago

You can access the Amazon Bestsellers Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "categoryUrls": ["https://www.amazon.com/Best-Sellers-Electronics/zgbs/electronics/"],
10 "maxItemsPerStartUrl": 100,
11 "depthOfCrawl": 1,
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("junglee/amazon-bestsellers").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20 print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

⭐️ Amazon Bestsellers Scraper API in Python

The Apify API client for Python is the official library that allows you to use Amazon Bestsellers Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include: