Amazon Product Details Scraper avatar
Amazon Product Details Scraper
Under maintenance
Try for free

3 days trial then $25.00/month - No credit card required now

View all Actors
This Actor is under maintenance.

This Actor may be unreliable while under maintenance. Would you like to try a similar Actor instead?

See alternative Actors
Amazon Product Details Scraper

Amazon Product Details Scraper

Try for free

3 days trial then $25.00/month - No credit card required now

Amazon Product Details Scraper is your essential tool for accessing deep, detailed data from Amazon product pages. Designed to serve the needs of data analysts, market researchers, and e-commerce professionals, this scraper efficiently extracts critical information.

Custom Amazon Product Scraper

What does Custom Amazon Product Scraper do?

Custom Amazon Product Scraper enables you to extract comprehensive data from Amazon beyond what is available through the official Amazon API. This scraper can gather the following product details:

  • Product names
  • Prices
  • Ratings
  • Number of reviews
  • Product descriptions
  • Brand details
  • Features
  • Variations
  • Seller name
  • Discounts and offers
  • Breadcrumbs
  • Delivery details
  • Images and videos
  • Additional product information
  • What’s in The Box
  • ASIN
  • A+ Content

Why scrape Amazon?

Amazon, with its vast user base, serves as a valuable data source for e-commerce insights and market analysis. Here are key use cases for utilizing Amazon data:

  • Analyzing pricing trends
  • Monitoring product reviews
  • Conducting competitor research
  • Generating product catalogs

For more insights on leveraging Amazon scraping for your business, visit our e-commerce industry page.

How to scrape Amazon

Scraping Amazon with Custom Amazon Product Scraper is straightforward. Follow these steps to obtain your desired data within minutes:

  1. Click on "Try for free."
  2. Enter the keywords or product URLs you want to scrape.
  3. Click on "Run."
  4. Access your data from the Dataset tab once Custom Amazon Product Scraper has finished.

Tips for scraping Amazon

  • Use specific search terms or product URLs to target your desired products efficiently.
  • Implement retry mechanisms to handle occasional scraping issues and ensure robust data extraction.

When scraping Amazon or any website, always adhere to data usage policies and legal considerations, especially regarding personal data. Consult legal experts if needed to ensure compliance with applicable laws and regulations.

How it Works

This Python script operates as follows:

  • Input Data Specification:

    • The script reads input data from the Actor instance, including:
      • start_urls: A list of URLs to scrape.
      • max_depth: The maximum depth of nested links to follow.
  • Request Queue Management:

    • Initialization of a request queue (queue) with the starting URLs and their respective depths set to 0.
  • Processing Requests:

    • Iteratively processes requests in the queue:
      • Fetches the URL content using HTTPX.
      • Parses the HTML content using BeautifulSoup.
  • Semaphore-based Batching for Parallel Processing:

    • Implements a semaphore (asyncio.Semaphore) to create batches of URLs and execute them in parallel:
      • Limits concurrency to 10 requests at a time (semaphore = asyncio.Semaphore(10)).
      • Ensures efficient utilization of resources by running multiple requests simultaneously.
  • Retry Mechanism for Robust Data Extraction:

    • Implements a retry mechanism (MAX_RETRIES) within the process_url function to handle failed scraping attempts:
      • If an exception occurs during URL processing, the script retries the request up to 5 times (MAX_RETRIES) before logging an error message.
  • Data Extraction and Storage:

    • Extracts desired data (e.g., product information) from the processed web pages.
    • Stores extracted data into a default dataset using the http.push_data method of the Actor instance.

How much will it cost to scrape Amazon?

Apify offers $5 free usage credits monthly on the Apify Free plan. With Custom Amazon Product Scraper, you can take advantage of our free trial to test the scraper for your needs.

  • Consider our $25/month subscription once you’re satisfied with the output from the free trial.


Example of JSON results with detailed product data:

2  "asin": "B01LYEV6RF",
3  "url": "",
4  "title": "Quaker Oats 2kg | Rolled Oats | 100% Natural Wholegrain | Nutritious Breakfast Cereals | Porridge | Easy to Cook : Books",
5  "productImage": "",
6  "productName": null,
7  "description": null,
8  "productInformation": {},
9  "brandDetails": [],
10  "features": [],
11  "variations_1": [],
12  "variations_2": [],
13  "variations_3": [],
14  "variations_4": [],
15  "variations_5": [],
16  "seller": null,
17  "price": null,
18  "MRP": "₹440",
19  "star": "4.5 out of 5 stars",
20  "review": "38,700 ratings",
21  "brand": null,
22  "offers": "Super Value Days: 10% Instant Discount up to INR 300 on ICICI Bank Credit Cards (excluding Amazon Pay ICICI Credit Card). Minimum Trxn is ₹2,500\nGet GST  invoice and save up to 28% on business purchases.Sign up for free",
23  "breadcrumbs": "Grocery & Gourmet Foods › Breakfast Cereal › Cold Cereal",
24  "delivery": "FREE delivery Wednesday, 3 April on orders dispatched by Amazon over ₹499. Details\nFREE delivery\nWednesday, 3 April\nDetails",
25  "whatsInTheBox": null,
26  "productBadge": "",
27  "allImages": [
28    "",
29    "",
30    "",
31    "",
32    "",
33    "",
34    "",
35    ""
36  ],
37  "allVideos": [],
38  "aPlusMainImages": [
39    ",0,970,600_PT0_SX970_V1___.jpg",
40    ",0,970,600_PT0_SX970_V1___.jpg"
41  ],
42  "aPlusMainText": [],
43  "aPlusImages": [
44    ",0,300,600_PT0_SX150_V1___.jpg",
45    ",0,300,600_PT0_SX150_V1___.jpg",
46    ",0,300,600_PT0_SX150_V1___.jpg",
47    ",0,300,600_PT0_SX150_V1___.jpg",
48    ",0,300,600_PT0_SX150_V1___.jpg"
49  ],
50  "aPlusParagraph": [],
51  "aPlusHeadings": [],
52  "hello": "world"
Maintained by Community
Actor metrics
  • 3 monthly users
  • 20.0% runs succeeded
  • days response time
  • Created in May 2024
  • Modified 7 days ago