Amazon Bestsellers Scraper
Pay $5.00 for 1,000 items
Amazon Bestsellers Scraper
Pay $5.00 for 1,000 items
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.
Do you want to learn more about this Actor?
Get a demoYou can access the Amazon Bestsellers Scraper programmatically from your own Python 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-clientOther API clients include:
JungleeActor Metrics
74 monthly users
-
12 stars
98% runs succeeded
2.9 days response time
Created in Mar 2023
Modified 20 hours ago
