💎 Jungle Scout Scraper

Discover more ➤	Amazon Price History API 🆕	Ahrefs Scraper	Semrush Scraper	Similarweb Scraper

The Jungle Scout Scraper on Apify delivers complete, structured Amazon product intelligence directly from Jungle Scout. It supports multiple lookup modes, allowing you to scrape product data via ASIN, Amazon product URLs, or various link format. Retrieve pricing, ratings, review counts, seller insights, category paths, brand details, images, and all product variants in clean, ready-to-use data formats. Whether you're analyzing product opportunities, monitoring listings, or enriching an e-commerce dataset, this Actor provides high-quality Jungle Scout product data at scale. ## 🗝️ Key Features - 📦 Comprehensive Amazon Product Data:
- ✅ Scrape full product details from Jungle Scout using ASINs or Amazon URLs - ✅ Capture title, brand, categories, images, seller type, rating, review count, and more - ✅ Retrieve accurate pricing data, currency, and seller counts - 🧬 Variant & Child-ASIN Discovery:
- ✅ Automatically detect and scrape all product variants (colors, sizes, storage options, etc.) - ✅ Export a complete list of variant ASINs grouped under each parent product - ✅ Ideal for catalog enrichment, listing analysis, and multi-variant monitoring - 💰 Seller & Offer Insights:
- ✅ Capture key seller information including FBM/FBA, number of sellers - ✅ Understand listing competitiveness and supply distribution - ✅ Perfect for marketplace analysis and retail intelligence - 📸 High-Resolution Media Extraction:
- ✅ Retrieve product images, thumbnails, and associated media URLs - ✅ Useful for product audits, visual cataloging, and ML training pipelines - 🌍 Multi-Country Support:
- ✅ Scrapes product data from any supported Jungle Scout marketplace (e.g., US, CA, UK, DE, etc.) - ✅ Automatically normalizes currency, categories, and locale-specific attributes - 📊 Flexible Data Output:
- ✅ Export structured Amazon product data in multiple formats: JSON, CSV, XLSX, JSONL - ✅ Ready for import into BI dashboards, pricing engines, inventory systems, or data pipelines ## 🗂️ Use Cases - Amazon Sellers & FBA Entrepreneurs: Analyze pricing trends, competition levels, seller distribution, and product performance across ASINs. - E-commerce Analysts: Build datasets for market research, catalog enrichment, and competitive intelligence. - Product Researchers: Evaluate opportunities across marketplaces with product-level metrics, comparison data, and variant mapping. - Brand Managers: Monitor brand consistency, listing quality, images, and pricing violations across sellers. - Retail Intelligence & Marketplaces: Aggregate product information at scale for analytics, price monitoring, and trend detection. - Developers & Data Teams: Integrate structured Jungle Scout output into analytics dashboards, automation workflows, or machine learning models. ## 📌 Output ### Product Search Data ##### Below is an example of the rich data returned by the Jungle Scout Scraper ##### Requires identifiers which should be Amazon Product Page URLs or ASINs. json { "data_captured_at": "2025-11-26T18:04:22.246080Z", "last_updated": "2025-11-25T23:22:51.557000Z", "country": "us", "asin": "B0DHJH2GZL", "name": "Apple iPhone 16, US Version, 128GB, Black - Unlocked (Renewed)", "brand": "Apple", "main_category": "Electronics", "primary_category": "Cell Phones & Accessories", "sub_categories": [ "Renewed Smartphones", "Cell Phones" ], "price": 575.31, "currency": "USD", "seller_type": "FBM", "n_sellers": 18, "rating": 4.6, "n_reviews": 519, "variant_asins": [ "B0DHJH2GZL", "B0DHJ2KF9X", "B0DHJGLSFT", "B0DHHVK432", "B0DHJLB3W3", "B0DHJPP352", "B0DHJCYNS7", "B0DHJJ47YQ", "B0DHJ4MP66", "B0DHJGKNT1", "B0DHJ2ZNKR", "B0DHJ72DS8", "B0DHJBL4PB", "B0DHJHY3BH", "B0DHJCWFD9" ], "image_url": "https://m.media-amazon.com/images/I/31j640v+ysL._SL1000_.jpg", "thumbnail_url": "https://m.media-amazon.com/images/I/31j640v+ysL._SL75_.jpg" } ### Field References | Field | Type | Description | |-------|-------|-------------| | data_captured_at | string (ISO UTC datetime) | Timestamp when the product data was captured by the scraper. | | last_updated | string (ISO UTC datetime) | Timestamp of the latest data update available from the source. | | country | string | Amazon marketplace country code (e.g., us, uk, ca). | | asin | string | Primary ASIN (Amazon Standard Identification Number) of the product. | | name | string | Full product title as displayed on Amazon. | | brand | string | Brand or manufacturer of the product. | | main_category | string | Top-level category under which the product is listed. | | primary_category | string | The primary Amazon product category (more specific). | | sub_categories | array of strings | List of subcategories/path hierarchy for the product. | | price | number | Current product price / buy box price. | | currency | string | Currency code for the price (e.g., USD). | | seller_type | string | Type of seller fulfillment: FBM, FBA, or Amazon. | | n_sellers | number | Number of sellers offering the product. | | rating | number | Average customer rating (1–5). | | n_reviews | number | Total number of customer reviews. | | variant_asins | array of strings | ASINs for all detected product variants (colors, sizes, storage options, etc.). | | image_url | string (URL) | URL to the main high-resolution product image. | | thumbnail_url | string (URL) | URL to a small thumbnail image of the product. | ### Table View Output #### Overview Table 📦 ## 📍 Input ### Jungle Scout Search Parameters

- identifiers: (Optional) (Array of Strings) The URLs or ASINs of the Amazon product pages to scrape data for. Enter a list of complete URLs or just ASINs to analyze multiple products at once (e.g. ["B08N5WRWNW", "B07FZ8S74R"]).

- country: (Optional) (String) Select the country of the Amazon Marketplace you want to scrape data from. Use the two-letter country code (e.g. us, uk, de, fr, it, es, jp). 💡 Default value is us (United States).

- include_variants: (Optional) (Boolean) If set to True, the search will include all available product variants (e.g. different colors, sizes) for each ASIN provided. 💡 Default value is False.

- stream_output: (Optional) (Boolean) If set to True, the scraper will stream results as they are scraped, allowing for faster access to data. If False, results will be provided only after the entire scraping process is complete. 💡 Default value is True. ### Supported Product Identifiers | Identifier | Supported | | ------------------------------------------------------------------------------------------------------------ | --------- | | https://www.amazon.com/Apple-iPhone-16-Version-128GB/dp/B0DHJH2GZL | ✅ | | https://www.amazon.com/dp/B0DHJH2GZL | ✅ | | https://www.amazon.com/gp/product/B0DHJH2GZL | ✅ | | B0DHJH2GZL | ✅ | ### JSON Input Sample JSON input if you use the apify api via CURL, Python, JS etc. json { "identifiers": [ "https://www.amazon.com/Apple-iPhone-16-Version-128GB/dp/B0DHJH2GZL/ref=sr_1_6" ], "country": "us", "include_variants": true, "stream_output": true, } ## 🍪 Usage Limits This service has different usage limits depending on your subscription status: | User Type | Monthly Runs | # Bulk URLs/ASINs Supported | Data Limitations | Max URLs/ASINs with include_variants | Reset Period | | --------- | ------------ | --------------------- | ---------------- | -------------------- | ------------ | | Free | 10 runs | 3 per run | All-Data-Access | Up to 3 | 30 days | | Paid | Unlimited | Unlimited per run | All-Data-Access | Up to 10 | N/A | ### How Limits Work - Free users: Limited to 5 runs per 30-day period from your first usage - Paid users: No limits on the number of runs and access to all data - All users: Can scrape product data and variants as per the limits above - Usage resets automatically 30 days after your first run (for free users) ## 💭 FAQ ### How do I find the ASIN of a product? The ASIN (Amazon Standard Identification Number) is a unique identifier assigned to products on Amazon. You can find the ASIN in the product URL right after '/dp/' or in the product details section on the Amazon product page. ### Can I scrape multiple products at once? Yes, you can provide multiple Amazon product URLs or ASINs in the identifiers input field. The scraper will process each identifier and return the corresponding product data. Please note that there are limits on the number of identifiers you can provide based on your subscription status. ### How accurate is the data, especially pricing and seller information? The data retrieved by the Jungle Scout Scraper is sourced directly from Jungle Scout, which is known for its accuracy and reliability. However, please note that pricing, rating, reviews and seller information is not scraped in real-time from Amazon but is based on the latest available data in Jungle Scout. We are bound by the accuracy of the data provided by Jungle Scout and cannot change this. Therefore, there may be slight discrepancies compared to live Amazon listings. ### What marketplaces are supported? The Jungle Scout Scraper supports multiple Amazon marketplaces, including but not limited to: - Australia (au) - Canada (ca) - France (fr) - Germany (de) - India (in) - Italy (it) - Japan (jp) - Mexico (mx) - Spain (es) - United Kingdom (uk) - United States (us) ## ⚙️ While the scraper is running During the run, the actor will output log messages letting you know what is going on at any point. Each message always contains specific information about the process including which url / page the actor is working on. If you provide invalid inputs to the actor, it will immediately stop with a failure state and output log messages explaining what is wrong. If you are unsure what went wrong feel free to open up an issue in the issue tab. ## 🔗 Legality of web scraping The Jungle Scout Scraper is designed to ethically extract only publicly available product data, and it does not scrape private user data such as personal email addresses or personal identifiers. Our services are ethical and do not extract any private user data. They only extract what individuals or companies chose to share publicly. We therefore believe that our services, when used for ethical purposes by our users, are safe to use. 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. For more information you can read this blog post on the legality of web scraping from Apify. ## 💬 Feedback and Support Your satisfaction is important to us! Therefore we are constantly striving to enhance the performance of our Actors. If you have any technical feedback or encounter any bugs with the Jungle Scout Scraper, please create an issue in the Actor’s Issues tab on the Apify Console. You can also contact us directly for custom integrations or project use cases at business@radeance.com.