Free Amazon Product Scrapper

Free Amazon Product Scraper

What is Free Amazon Product Scraper?

Free Amazon Product Scraper is a powerful Amazon data extraction tool built on Apify that allows you to scrape structured product data from Amazon using product URLs or ASINs. It helps businesses, marketers, and eCommerce professionals automate Amazon product research, price tracking, competitor analysis, and lead generation — without relying on the official Amazon API.

➡️ Simply enter Amazon product URLs or ASIN-based URLs and extract structured product data including titles, prices, images, features, ratings, and seller information.

Why Use This Amazon Scraper?

Use this scraper to:

• Generate insights for Amazon FBA & dropshipping
• Track competitor pricing, reviews, and product performance
• Automate eCommerce data collection workflows
• Build datasets for analytics, marketing, or AI tools
• Save hours of manual product research

Features

• Scrapes detailed product information directly from Amazon product pages.
• Supports single and bulk product URLs in one run.
• Extracts comprehensive product-level data:
  • Product title
  • Current price & original price (when discounted)
  • Ratings & review count
  • Product description & feature bullets
  • Product images
  • Product URL (and ASIN within the URL)
  • Product details/specifications
  • Seller information
  • Stock / availability status (where available)
• Designed to work across multiple Amazon marketplaces (e.g., Amazon US, UK, etc.).
• Structured output ready for JSON, CSV, or Excel export via Apify datasets.

How to Use Free Amazon Product Scraper on Apify

Using the Actor

To use this actor on Apify, follow these simple steps:

1. Go to the Free Amazon Product Scraper on the Apify platform.

2. Input Configuration:

   • Enter one or more Amazon product URLs you want to scrape (or ASIN-based URLs like https://www.amazon.com/dp/B0XXXXXXX).
   • Optionally enable scraping of reviews/variants/details/seller info if your actor input supports those flags.

Input Configuration

A typical input configuration looks like this:

{
  "productUrls": [
    "https://www.amazon.com/dp/B0XXXXXXX"
  ],
  "scrapeReviews": true,
  "scrapeProductVariants": true,
  "scrapeProductDetails": true,
  "scrapeSellerInfo": true
}

Common fields (based on your example):

• productUrls (required): Array of Amazon product URLs (or ASIN-based URLs) to scrape.
• scrapeReviews (optional): Whether to scrape review-related data (default: false if not provided).
• scrapeProductVariants (optional): Whether to scrape product variants/options (sizes, colors, etc.).
• scrapeProductDetails (optional): Whether to scrape extended product details/specifications.
• scrapeSellerInfo (optional): Whether to scrape seller information.

3. Run the Actor:

   • Click the Start button to begin scraping.
   • The actor will visit each product URL, extract product data, and store it in an Apify dataset.

4. Access Your Results:

   • Once complete, view your results in the Dataset tab.
   • Download the data in JSON, CSV, or Excel format.
   • Alternatively, access the data programmatically via the Apify API.

5. Schedule Regular Runs (Optional):

   • Schedule the actor to run periodically to track price changes, availability, and catalog updates.
   • Use webhooks to trigger automations when new data is ready.

Output

All results are stored in Apify dataset storage. According to the dataset schema, each product item typically includes:

• url: URL of the scraped Amazon product page.
• title: Product title.
• price: Current price (string).
• original_price: Original price if the product is on sale (string or null).
• availability: Stock availability status (e.g., “In Stock”, “Out of Stock”).
• images: Array of product image URLs.
• description: Product description text.
• features: Array of key feature bullets.
• average_rating: Average customer rating (out of 5, as string or null).
• review_count: Number of customer reviews (string or null).
• seller_info: Object with seller details, for example:
  • name: Seller name.
  • rating: Seller rating (string or null).
• product_details: Object with additional product specifications (e.g., dimensions, weight, brand, model).
• timestamp: ISO date-time string indicating when the product was scraped.

Example item (simplified):

{
  "url": "https://www.amazon.com/dp/B0XXXXXXX",
  "title": "Example Amazon Product",
  "price": "$29.99",
  "original_price": "$39.99",
  "availability": "In Stock",
  "images": [
    "https://m.media-amazon.com/images/I/....jpg"
  ],
  "description": "Full product description...",
  "features": [
    "Key feature bullet 1",
    "Key feature bullet 2"
  ],
  "average_rating": "4.5",
  "review_count": "256",
  "seller_info": {
    "name": "Example Seller",
    "rating": "4.7 out of 5"
  },
  "product_details": {
    "Brand": "ExampleBrand",
    "Model": "ABC123"
  },
  "timestamp": "2025-01-01T12:00:00Z"
}

➡️ Output is clean, structured, and ready for analytics, automation, or AI workflows.

Why Use This Amazon Scraper?

• Fast and scalable Amazon scraping.
• No official Amazon API required.
• Produces clean, structured product datasets.
• Built for real-world use cases (FBA research, dropshipping, analytics).

Use Cases

• Amazon product research
• Price monitoring & tracking
• Competitor analysis
• Market research & product validation
• Dropshipping product discovery
• AI & data pipelines
• Inventory and availability monitoring

Integrations & API

• Works with Zapier, Make, Google Sheets, and other integrations.
• Supports webhooks and automation on Apify.
• API integration with Python & Node.js for custom workflows.
• Supports scheduled scraping tasks via Apify Scheduler.

FAQ

How does Free Amazon Product Scraper work?

It extracts publicly available product data directly from Amazon product pages by visiting the URLs, parsing the HTML structure, and converting the data into structured items saved in an Apify dataset.

Can I scrape multiple Amazon products at once?

Yes. You can input multiple product URLs in productUrls and the actor will process them in one run.

Does it require the Amazon API?

No. It works independently without the official Amazon API.

What marketplaces are supported?

It is designed to work with Amazon US, UK, and other international marketplaces, depending on how your actor is configured and which domains you provide in productUrls.

Can I extract reviews?

Yes. When scrapeReviews is enabled (and supported by your actor code), review and rating data can be extracted.

Is the data accurate?

Yes. Data is collected in real time from Amazon at the moment of scraping.

Can I use it for Amazon FBA or dropshipping?

Yes. It is ideal for product research, competitor tracking, and identifying winning products for FBA or dropshipping.

Can I automate scraping?

Yes. You can automate using the Apify API, scheduler, or integrations (Zapier, Make, etc.).

What formats are supported?

JSON, CSV, Excel via Apify dataset export; XML or other formats can be generated by post-processing if needed.

Can I use this scraper for AI or machine learning projects?

Yes. The structured product data is well-suited for training models, building recommendation systems, and powering analytics.

How can I find profitable Amazon products?

By analyzing combination of price, discounts, ratings, review counts, and competitor listings across scraped data.

Does it support price tracking?

Yes. You can schedule repeated runs to monitor price and availability changes over time.

Can I scrape Amazon without getting blocked?

The scraper can be combined with Apify proxies and anti-blocking techniques, but you should respect Amazon’s terms of service and crawl responsibly.

Can I connect this scraper to Google Sheets?

Yes. You can use Apify integrations or export datasets for use in Google Sheets.

Can I customize output?

Yes. You can filter and select fields from the dataset or adjust your pipeline to keep only the columns you need.

Is scraping Amazon legal?

Scraping publicly available data is generally allowed, but you must follow Amazon’s terms of service and applicable laws.

Can I monitor stock availability?

Yes. Availability information is included in the availability field where it can be extracted.

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Actor permissions

This Actor is designed to work with limited permissions. It only reads input and writes to its default dataset; it does not access other user data or require full account access.

To set limited permissions in Apify Console:

1. Open your Actor on the Apify platform.
2. Go to the Source tab (or Settings).
3. Click Review permissions (or open Settings → Permissions).
4. Select Limited permissions and save.

Using limited permissions improves trust and can improve your Actor's quality score in the Store.

Limitations

• Amazon’s page structure and anti-bot protections can change, which may require updates to the scraper.
• Some seller, pricing, or review details may not be available for all products.
• Large-scale or frequent scraping requires appropriate Apify plan resources and responsible proxy usage.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Get Started

Start extracting Amazon product data and automate your workflow today. 🚀