Amazon Product Details Scraper π
Pricing
from $1.50 / 1,000 product details
Amazon Product Details Scraper π
Extracts comprehensive product details: titles, images, video download links, prices, discounts, stock availability, category paths, swatches/variations, Frequently Bought Together items, reviewsCount, specifications, rating, sales_volume and customer reviews β¨ Amazon Product Details Scraper π
Pricing
from $1.50 / 1,000 product details
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π Amazon Product Details Scraper
The Amazon Product Details Scraper is a professional-grade web scraping tool built to collect comprehensive specifications, inventory data, media, variations, and reviews from any Amazon product page.
By using the Amazon Product Details Scraper, you can instantly transform any product URL or ASIN into clean, structured data records. Whether you need to monitor competitor price fluctuations, build digital storefront catalogs, perform sentiment review analysis, or sync inventory metrics, the Amazon Product Details Scraper provides a robust, fast, and unblockable execution flow that formats data into unified structured schemas.
π Why Use the Amazon Product Details Scraper? (Business Use Cases)
The Amazon Product Details Scraper is a crucial asset for e-commerce developers, retailers, data analysts, and brand managers. Here is what a customer can achieve using the Amazon Product Details Scraper:
- Competitor Catalog Monitoring & Synchronizations π Keep your digital storefront synchronized with current Amazon inventory. The Amazon Product Details Scraper pulls titles, high-resolution Alt images, specifications, and descriptions, allowing you to easily map product portfolios.
- Dynamic Pricing & Discount Strategies π΅ Monitor listing prices, strike-through original prices, coupons, and discounts. You can feed Amazon Product Details Scraper data into dynamic repricing tools to stay competitive.
- Sentiment Analysis & Customer Opinions π¬ The Amazon Product Details Scraper extracts customer review distributions, full reviews lists (with user names, titles, ratings, and text), and Amazon's AI-generated review summaries. This allows you to track customer sentiment about your brand or competitors.
- Market Research & Niche Tracking π
Track product sales volumes (e.g.
400+ bought in past month) and category breadcrumb paths using the Amazon Product Details Scraper to evaluate market demands. - Fulfillment & Buy-Box Metrics π
Extract seller names (
soldBy), shipping details (shipsFrom), Prime badges, and used box details to understand fulfillment dynamics and buy-box ownership.
π¦ Data Fields Extracted by Amazon Product Details Scraper
For every product processed, the Amazon Product Details Scraper extracts the following attributes, populating them across both camelCase and snake_case properties to support three target schemas simultaneously:
π Core Identification & URL Fields
asin(string): The unique 10-character code identifying the product.title/product_title(string): The full product title.productUrl/product_url/url(string): Cleaned canonical product link.input(string): The raw query URL or ASIN provided by the user.source(string): Always"amazon".
π¬ Media Asset Fields
product_photo/mainImage(string/object): Main high-resolution product image and its resolution.product_photos/imageUrlList/images(array of strings): Full list of cleaned, high-resolution Alt images from the product gallery.product_videos/videoeUrlList(array of objects/strings): Embedded product video download links (MP4) and streaming files (M3U8).
π΅ Pricing & Discount Fields
price/product_price/priceNum(string/float): The current listing price.retailPrice/list_price/listPriceNum/product_original_price(string/float): Strike-through list price.currency(string): Standard ISO currency code (e.g.USD,GBP,CAD,EUR).country(string): Origin country code (e.g.US,GB,CA,DE).priceSaving(string): Savings percentage text (e.g."-12%").discountPercent(integer): Calculated discount percentage.discountAmount(float): Calculated discount amount (list price - listing price).coupon(string): Coupon badge text when present.
β Ratings & Customer Review Fields
rating/productRating/product_star_rating/rating_stars(string): Display rating text (e.g.4.2 out of 5 stars).ratingNum(float): The rating converted to a decimal float value.reviewsCount/countReview/product_num_ratings/rating_count(integer): The total number of ratings left for the product.rating_distribution(object): Stars percentage breakdown map (e.g.{"5": 65, "4": 15, "3": 7, "2": 3, "1": 10}).customers_say/customer_review_summary/reviewInsights(string/object): AI-generated text summary of customer reviews.top_reviews/reviews/globalReviews(array of objects): Recent customer reviews list, including review ID, stars, user, title, text, date, and selected variations.
π Shipping & Seller Details
delivery/priceShippingInformation/delivery_date/fastest_delivery_date(string): Display shipping date and delivery fees.shipsFrom(string): Shipping carrier/source.soldBy/seller_name(string): Merchant seller name.isPrime/prime(boolean):trueif eligible for Prime shipping.buyBoxUsed(object): Used buybox condition, seller, and pricing details.badge(string): Highlight badges (e.g.Best Seller,Amazon's Choice).sales_volume/pastSales/recent_purchases(string): Social proof sales volume text (e.g.400+ bought in past month).
π Specifications & Variations
brand/product_byline/brand_name(string): Product manufacturer brand name.availability/product_availability/warehouseAvailability(string): Stock status (e.g.Only 2 left in stock).currentlyUnavailable(boolean):trueif the item is out of stock.aboutThisItem/features/about_product/aboutProduct(array of strings): Product bullet points summary list.description/productDescription(string): Detailed description text.specifications/product_information(object): Complete technical detail table mappings.product_details(object): Brand, color, screen size specifications dictionary.product_variations/variations(object/array): Size/color variation swatches.frequently_bought_together(array of objects): Related products frequently bought together.category_path/categoriesExtended/breadcrumbs(array of objects/string): Full wayfinding breadcrumb categories.fetched_at/scrape_time(string): ISO timestamps.
π How to Configure and Run Amazon Product Details Scraper
Running the Amazon Product Details Scraper on the Apify Platform is straightforward:
- Open the Amazon Product Details Scraper run configuration page.
- Insert target product links or ASINs to the Amazon Product Details Scraper input parameters list.
- Choose the geographic exit country for Amazon Product Details Scraper proxies.
- Click Start to run the Amazon Product Details Scraper
Example Input Configuration:
{"urls": ["https://www.amazon.com/dp/B00P8XQPY4","B0DLHNWHRF"],"proxyCountry": "US"}
Deploy the Amazon Product Details Scraper today to get the most reliable, clean, and unique Amazon product details data!