Marketplace sellers
Competitor checks
Export known competing product pages to compare price, stock language, seller names, ratings, review counts, bullets, and image coverage before updating a catalog or launch plan.
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The Amazon product scraper exports Amazon.com product detail pages into a structured CSV for ecommerce research, catalog audits, pricing checks, and product-data enrichment. Import the template into the UScraper local desktop app, replace the sample /dp/ URL with reviewed product URLs, and collect ASINs, titles, prices, ratings, sellers, availability, bullets, product details, breadcrumbs, and image URLs without writing code.
CSV
36
Multi-URL
8 blocks
Free import
At a glance
Use this template when you already have Amazon product links and need richer item-page fields than a search-results scraper can provide. It is built around direct product URLs such as https://www.amazon.com/dp/B0BR3M8XHK, so the output can focus on one product per row with page-level details, seller signals, category context, and media links.
The automation path is easy to audit: Set Window Size -> Navigate -> Wait for Page Load -> Wait for Element -> Scroll -> Sleep -> Structured Export -> Loop Continue. The Wait for Element block looks for #productTitle, the scroll step loads lower modules, and Structured Export uses custom columns to normalize fields from the visible page into a CSV. Add more product URLs to the Navigate block to append them into one export file.
Detail-page product data
Capture ASIN, title, brand, price, ratings, review count, seller, stock text, delivery text, bullets, product description, rank, dimensions, manufacturer fields, and image URLs.
Batch product URLs
Paste a reviewed list of Amazon product pages into the Navigate block. Loop Continue advances after each Structured Export, so rows append into the same CSV.
Spreadsheet-ready export
Open the Amazon product CSV in Excel, Sheets, BI tools, QA scripts, catalog systems, or enrichment workflows without building a custom scraper.
Local desktop app custody
The stock workflow writes to your configured save folder. It does not send your URL list or exported product rows to UScraper cloud storage.
Who uses it
Marketplace sellers
Competitor checks
Export known competing product pages to compare price, stock language, seller names, ratings, review counts, bullets, and image coverage before updating a catalog or launch plan.
Catalog teams
Data QA
Use ASIN, item model number, manufacturer, dimensions, category, and image URL columns to reconcile product records against internal SKU data or supplier files.
Research analysts
Market snapshots
Pair this detail-page scraper with the Amazon Product Scraper, Amazon Top Lists Scraper, and Amazon Reviews Scraper when a report needs discovery, detail capture, and review context.
How to use
Replace the sample product URL
Open the Navigate block and paste the Amazon US product detail pages your team has reviewed and is allowed to process.
Confirm waits and export path
Keep the page-load and title waits in place, then set the Structured Export save folder for amazon_product_details_scraper.csv.
Run the URL loop
UScraper opens each URL, waits for the product page, scrolls to the bottom, pauses for two seconds, exports the configured fields, and continues to the next product.
Open and audit the CSV
Spot-check ASINs, prices, seller fields, image URLs, blank cells, region-specific text, and unavailable products before using the export downstream.
Output preview
amazon_product_details_scraper.csvColumn
asin
ASIN from the page field or the /dp/ product URL fallback.
Column
url
Canonical product page URL without tracking query parameters.
Column
title
Product title cleaned from the product title area.
Column
price
Visible purchase price when Amazon renders one for the current session.
Column
stars
Rating text such as 4.5 out of 5 stars.
Column
rating_count
Visible customer rating or review count text.
Column
seller
Seller or merchant text from the product buy box area.
Column
in_stock
Availability text such as In Stock or temporarily unavailable.
Column
about_this_item
Feature bullets joined into one pipe-separated cell.
Column
best_sellers_rank
Best Sellers Rank text when the details section exposes it.
Column
breadcrumbs
Amazon category path joined from breadcrumb links.
Column
image_url_1
First cleaned product image URL, with additional columns through image_url_6.
Sample rows
2 of many
| asin | url | title | price | stars | rating_count | seller | in_stock | about_this_item | best_sellers_rank | breadcrumbs | image_url_1 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| B0BR3M8XHK | Sample Wireless Headphones with Noise Cancelling | $79.99 | 4.4 out of 5 stars | 6,218 ratings | Example Store | In Stock | Bluetooth 5.3 | 40-hour battery | Foldable design | #12 in Over-Ear Headphones | Electronics > Headphones | ||
| B0EXAMPLE2 | Example Stainless Steel Water Bottle, 32 oz | $24.95 | 4.7 out of 5 stars | 14,802 ratings | Sold by Example Direct | Only 8 left in stock | Leakproof lid | BPA-free | Keeps drinks cold | #4 in Sports Water Bottles | Sports & Outdoors > Hydration |
| Field group | Columns |
|---|---|
| Product identity | asin, url, title, brand, item_model_number, manufacturer, manufacturer_url |
| Commerce signals | price, variant_attribute, recent_purchase, in_stock, seller, seller_name, sell_url |
| Reviews and questions | stars, rating_count, answer_questions |
| Page content | about_this_item, product_description, delivery, fastest_delivery, best_sellers_rank |
| Classification | breadcrumbs, category, country_of_origin, dimensions, date_first_available |
| Media and audit | brand_url, current_time, image_url_1, image_url_2, image_url_3, image_url_4, image_url_5, image_url_6 |
Browse the UScraper template library for sibling ecommerce workflows, or install the local desktop app from UScraper Download before importing this template.
Frequently asked questions
Amazon product pages may be publicly visible, but automated collection can still be limited by Amazon terms, robots directives, marketplace policies, anti-abuse controls, intellectual property rights, privacy law, and local regulations. Use modest batches, do not bypass CAPTCHA or access controls, and get legal review before commercial reuse.
Before you run
Guardrails for reliable Amazon product scraping
Keep product batches conservative
Avoid parallel runs against the same source, keep wait blocks in place, and stop if Amazon responds with CAPTCHA, repeated verification, unavailable pages, or access warnings.
Expect selector maintenance
Amazon can move price, seller, buy-box, delivery, bullet, and product-detail modules. Empty columns usually mean a layout variant loaded, a field is hidden for your session, or a challenge page appeared.
Use reviewed URLs and permitted data
Review Amazon source terms, robots guidance, marketplace policies, Product Advertising API options, and local data rules before redistributing, reselling, or enriching scraped product data.
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