Amazon Product Scraper

Copying product details off Amazon by hand is slow, and the page layout changes the second you look away. Paste a product link instead and get back a tidy row: name, brand, current price, star rating, review count, the full image set, feature bullets, and the spec table. Works across the US, UK, German, Indian, Japanese, and the other regional stores, with no code and no scraping setup to wrestle with.

What you get

One product link becomes one clean row. Anything Amazon doesn't show for a given item comes back as null or an empty list, so your columns line up when you drop the results into a sheet or database. Each row carries three kinds of data:

• Identity and pricing — itemName, brandName, productAsin, currentPrice, currencySymbol, stockStatus
• Reputation and media — starRating, reviewsTotal, imageLink, imageGallery
• Content and specs — highlightBullets, itemDescription, categoryPath, manufacturerName, weightLabel, dimensionsLabel, netQuantityLabel, genericLabel, specifications, plus itemUrl, collectedAt, and errorMessage

Quick start

1. Press Try for free and open the input form.
2. Paste one or more Amazon product URLs into Amazon product URLs. Both the short /dp/ASIN link and a full product page link work.
3. Adjust Timeout (seconds) if you expect heavy pages, or leave the default.
4. Hit Start, then export the results as JSON, CSV, Excel, or XML once the run finishes.

Use cases

• Price monitoring — track prices on competitor products and watch for drops or hikes
• Catalog building — turn a list of product links into a structured catalog for your store or PIM
• Competitor research — compare titles, bullets, images, and ratings across a category
• Market and demand signals — sort by reviewsTotal and starRating to spot what's selling
• Brand audits — see how a brand prices and presents its range across regional stores
• Content sourcing — pull bullets, descriptions, and images to draft your own product pages

Input

Field	Type	Required	Description
targetUrls	array of strings	Yes	Amazon product page URLs to scrape. Both /dp/ASIN short links and full URLs work, and each is processed on its own. Duplicates are removed automatically.
timeoutSeconds	integer	No	Seconds to wait on each request before giving up. Default 45; raise it for heavy pages.

Example input

{
    "targetUrls": [
        "https://www.amazon.com/dp/B08N5WRWNW",
        "https://www.amazon.co.uk/dp/B0CHX3QBCH",
        "https://www.amazon.de/dp/B09G9FPHY6"
    ],
    "timeoutSeconds": 45
}

Output

Each product link becomes one record in the dataset. Fields Amazon doesn't publish for a given item come back as null (or an empty list), so the shape stays consistent across every row.

Example output

{
    "itemUrl": "https://www.amazon.com/dp/B08N5WRWNW",
    "productAsin": "B08N5WRWNW",
    "itemName": "Echo Dot (4th Gen) Smart speaker with Alexa, Charcoal",
    "brandName": "Amazon",
    "currentPrice": 49.99,
    "currencySymbol": "$",
    "starRating": 4.7,
    "reviewsTotal": 284531,
    "stockStatus": "In Stock",
    "imageLink": "https://m.media-amazon.com/images/I/714Rdc+NyxL._AC_SL1000_.jpg",
    "imageGallery": [
        "https://m.media-amazon.com/images/I/714Rdc+NyxL._AC_SL1000_.jpg",
        "https://m.media-amazon.com/images/I/61u48FEs4LL._AC_SL1000_.jpg"
    ],
    "highlightBullets": [
        "Meet the Echo Dot - Our most popular smart speaker with a fabric design.",
        "Voice control your music - Stream songs from Amazon Music, Apple Music, Spotify, and others.",
        "Ready to help - Ask Alexa to play music, answer questions, read the news, and check the weather."
    ],
    "itemDescription": null,
    "categoryPath": [
        "Electronics",
        "Smart Home",
        "Amazon Smart Home",
        "Smart Speakers"
    ],
    "manufacturerName": "Amazon",
    "weightLabel": "12 ounces",
    "dimensionsLabel": "3.9 x 3.9 x 3.5 inches",
    "netQuantityLabel": "1 Count",
    "genericLabel": "Smart Speaker",
    "specifications": {
        "Brand": "Amazon",
        "Color": "Charcoal",
        "Item Weight": "12 ounces",
        "Product Dimensions": "3.9 x 3.9 x 3.5 inches",
        "ASIN": "B08N5WRWNW",
        "Date First Available": "September 30, 2020"
    },
    "collectedAt": "2026-06-29T12:00:00.000000+00:00",
    "errorMessage": null
}

Output fields

Field	Type	Description
itemUrl	string	The Amazon product URL that was scraped
productAsin	string	Amazon Standard Identification Number (10 characters)
itemName	string	Full product title as shown on the listing
brandName	string	Brand name, pulled from the brand byline
currentPrice	number	Current price as a decimal number
currencySymbol	string	Currency symbol, such as $, £, €, or ₹
starRating	number	Average star rating out of 5.0
reviewsTotal	integer	Total number of customer ratings
stockStatus	string	Stock status text, e.g. In Stock or Currently unavailable
imageLink	string	Main product image URL
imageGallery	array	All product image URLs at the highest available resolution
highlightBullets	array	Feature bullet strings from the listing
itemDescription	string	Long-form product description, or null when absent
categoryPath	array	Category breadcrumb from the top level down to the leaf
manufacturerName	string	Manufacturer name from the detail bullets
weightLabel	string	Item weight with its unit, e.g. 1.3 Pounds
dimensionsLabel	string	Length × width × height with units
netQuantityLabel	string	Net quantity or pack size
genericLabel	string	Generic product category name
specifications	object	Full key-value map of the detail bullets section
collectedAt	string	ISO 8601 timestamp of when the row was captured
errorMessage	string	Reason the page failed; null on success

Tips for best results

• Use /dp/ASIN links when you can. Short links like https://www.amazon.com/dp/B08N5WRWNW are the steadiest format and work on every regional store.
• Match the domain to the pricing you want. An amazon.com link returns USD, amazon.co.uk returns GBP. Pick the store that matches the currency you need.
• Raise timeoutSeconds for heavy pages. Listings with long galleries or descriptions occasionally time out — bump it to 60 or 90 if you see that.
• Failed pages still produce a row. When an item is removed, region-locked, or unavailable, you get a record with errorMessage filled in. Filter on it to separate the misses.
• Duplicates are handled for you. The same URL listed twice is scraped once.
• Schedule it for tracking. Run on a daily or hourly schedule with Apify's scheduler to build a price and rating history over time.

How can I use Amazon product data?

How can I use the Amazon Product Scraper to monitor competitor prices? Add the product links you want to watch and run the actor on a schedule. Each row carries currentPrice, currencySymbol, stockStatus, and collectedAt, so you can log prices over time, compare the same ASIN across regional stores, and flag changes the day they happen.

How can I scrape Amazon product details to build a catalog? Paste your product URLs and export the dataset to CSV or Excel. You get itemName, brandName, productAsin, imageGallery, highlightBullets, categoryPath, and the full specifications map per item — enough to populate a store, PIM, or internal catalog without retyping anything.

How can I research Amazon competitors and demand with this data? Pull a set of products in one category and sort by reviewsTotal and starRating to see what's resonating. Line up highlightBullets, itemDescription, and image counts side by side to find gaps in your own listings and learn how top sellers frame their products.

How do I turn a list of ASINs into Amazon product data? Build a URL for each ASIN with the pattern https://www.amazon.com/dp/{ASIN} (swap in any regional domain), drop them all into targetUrls, and run. Every link comes back as one row with price, rating, images, and specs attached.

Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.