# Amazon Products & Search Scraper (`fetch_cat/amazon-products-search-scraper`) Actor Extract Amazon product search results, pricing, availability, sellers, ratings, and product details across marketplaces. - **URL**: https://apify.com/fetch\_cat/amazon-products-search-scraper.md - **Developed by:** [Hanna Nosova](https://apify.com/fetch_cat) (community) - **Categories:** E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 50.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.60 / 1,000 product rows This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Amazon Products & Search Scraper Export public Amazon search results into structured data for assortment research, price monitoring, sponsored-placement analysis, and product discovery. Search ten Amazon marketplaces and receive product rank, ASIN, title, price, rating, reviews, Prime status, image, and source provenance. ### Example input ```json { "queries": ["wireless headphones"], "marketplace": "US", "sort": "relevance", "maxItems": 20, "enrichDetails": false } ```` ### Example output ```json { "rank": 1, "sponsored": true, "asin": "B0EXAMPLE", "productTitle": "Wireless noise-cancelling headphones", "brand": "Example Brand", "price": 79.99, "priceDisplay": "$79.99", "currency": "$", "prime": true, "rating": 4.5, "reviewCount": 1234, "imageUrls": ["https://m.media-amazon.com/images/I/example.jpg"], "sourceType": "search", "sourceQuery": "wireless headphones", "marketplace": "US", "url": "https://www.amazon.com/dp/B0EXAMPLE", "scrapedAt": "2026-07-10T12:00:00.000Z", "diagnostics": { "detailEnriched": true, "pageNumber": 1 } } ``` ### What data can I export? Each dataset row represents one Amazon product listing: - **Search provenance:** organic rank, sponsored status, source query, and marketplace. - **Product identity:** ASIN, parent and variant ASINs, title, brand, categories, URL, and image URLs. - **Commercial signals:** numeric/display/list price, currency, deal, savings, Prime, shipping, availability, seller, and Buy Box seller. - **Social proof:** numeric rating and review count. - **Provenance:** source type/query, marketplace, page number, enrichment status, and scrape timestamp. ### Who is it for? This Actor is designed for ecommerce analysts, marketplace sellers, brand-protection teams, pricing researchers, retail agencies, and developers building product intelligence workflows. ### Use cases - Compare product assortment across Amazon marketplaces. - Monitor visible prices and Prime placement for selected searches. - Measure sponsored versus organic placement. - Build product research and category-analysis datasets. - Feed structured Amazon listings into spreadsheets, databases, agents, or BI tools. ### Input settings | Field | Type | Description | |---|---|---| | `queries` | string\[] | Product names, brands, models, or keywords to search. | | `startUrls` | request\[] | Amazon search or product detail URLs. | | `asins` | string\[] | Direct ten-character product ASINs. | | `marketplace` | string | One of `US`, `CA`, `UK`, `DE`, `FR`, `IT`, `ES`, `AU`, `IN`, or `JP`. | | `sort` | string | Relevance, price ascending/descending, reviews, or newest. | | `maxItems` | integer | Global maximum unique products, from 1 to 1,000. | | `enrichDetails` | boolean | Visit details for brand, category, availability, seller, variants, and expanded pricing/images. | ### Verified public example tasks These Apify Store tasks use small, QA-verified inputs and can be opened or cloned directly: - [Enrich Amazon Product Search Results](https://apify.com/fetch_cat/amazon-products-search-scraper/tasks/enrich-amazon-product-search-results) — verified run `6S71PHVBgdtnLxpCj` produced 5 dataset items. - [Find Lowest Price Usb C Chargers](https://apify.com/fetch_cat/amazon-products-search-scraper/tasks/find-lowest-price-usb-c-chargers) — verified run `ptSxQtqxjqbzdau4R` produced 10 dataset items. - [Research Top Reviewed Coffee Grinders](https://apify.com/fetch_cat/amazon-products-search-scraper/tasks/research-top-reviewed-coffee-grinders) — verified run `BrewwM2UIWfcYJJAv` produced 10 dataset items. - [Search Amazon Uk Products](https://apify.com/fetch_cat/amazon-products-search-scraper/tasks/search-amazon-uk-products) — verified run `6xPlzxoEb1AmDDX11` produced 10 dataset items. - [Search Amazon Wireless Headphones](https://apify.com/fetch_cat/amazon-products-search-scraper/tasks/search-amazon-wireless-headphones) — verified run `Dq5a3KRb4QAQomi5H` produced 10 dataset items. ### Input recipes **US product research** ```json { "queries": ["standing desk"], "marketplace": "US", "maxItems": 20 } ``` **UK brand monitoring** ```json { "queries": ["Sony headphones"], "marketplace": "UK", "maxItems": 10, "enrichDetails": true } ``` ### Pricing The Actor uses pay-per-event pricing: - **Start:** $0.005 per run on every plan. - **Product row:** Free $0.00115; Bronze $0.001; Silver $0.00078; Gold $0.0006; Platinum $0.0004; Diamond $0.00028. - **Detail enrichment:** Free $0.0046; Bronze $0.004; Silver $0.00312; Gold $0.0024; Platinum $0.0016; Diamond $0.00112 per product page visited when enrichment is enabled or an ASIN/product URL is supplied. You are charged only for product rows saved to the dataset and detail pages successfully enriched. Current pricing is always visible in the Apify Console before a run starts. ### Tips - Begin with 10 products to validate the fields for your workflow. - Use a specific brand or model when you need focused results. - Keep the marketplace consistent when comparing ranking over time. - Export JSON for automation or CSV/XLSX for spreadsheet analysis. ### Legality, limits, and responsible use Amazon can vary visible products, prices, delivery promises, and rankings by time and location. Treat the output as a point-in-time observation. The Actor collects public product search information and does not require an Amazon account. Scrape only data you have a lawful purpose to use, respect applicable privacy and database laws, and comply with Amazon's terms. ### API usage ```bash curl -X POST "https://api.apify.com/v2/acts/fetch_cat~amazon-products-search-scraper/runs?token=$APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"queries":["wireless headphones"],"marketplace":"US","maxItems":10}' ``` **Node.js** ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: process.env.APIFY_TOKEN }); const run = await client.actor('fetch_cat/amazon-products-search-scraper').call({ queries: ['wireless headphones'], marketplace: 'US', maxItems: 10, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` **Python** ```python from apify_client import ApifyClient import os client = ApifyClient(os.environ['APIFY_TOKEN']) run = client.actor('fetch_cat/amazon-products-search-scraper').call( run_input={'queries': ['wireless headphones'], 'marketplace': 'US', 'maxItems': 10} ) items = client.dataset(run['defaultDatasetId']).list_items().items print(items) ``` The run response includes a dataset ID. Download rows through the dataset API after the run succeeds. ### MCP and agents Connect through Apify MCP at `https://mcp.apify.com/?tools=fetch_cat/amazon-products-search-scraper` and ask an agent to research products for a marketplace and query. **Example prompts:** - “Search Amazon US for `wireless headphones`, return 10 products, and include sponsored placement and price.” - “Compare the first 20 Amazon UK results for `standing desk` with detail enrichment enabled.” ```bash claude mcp add apify-amazon -- npx -y @apify/actors-mcp-server --actors fetch_cat/amazon-products-search-scraper ``` Example MCP client configuration: ```json { "mcpServers": { "apify-amazon": { "command": "npx", "args": ["-y", "@apify/actors-mcp-server", "--actors", "fetch_cat/amazon-products-search-scraper"], "env": { "APIFY_TOKEN": "YOUR_APIFY_TOKEN" } } } } ``` ### Related actors Combine this dataset with [Google Shopping Results Scraper](https://apify.com/fetch_cat/google-shopping-results-scraper) for cross-channel product discovery or [eBay Marketplace Scraper](https://apify.com/fetch_cat/ebay-marketplace-scraper) for marketplace comparisons. ### FAQ #### Does it require an Amazon login? No. It collects publicly visible search listings. #### Why can results change between runs? Amazon rankings and sponsored placements are dynamic and may vary by marketplace, time, inventory, and delivery location. #### What happens when Amazon returns a challenge page? The run fails with a clear error instead of reporting a misleading successful zero-item dataset. ### Support If a run fails or a field is missing, open an issue on the Actor page. Include the run ID, your input JSON, expected output, actual output, and a reproducible public URL from Amazon. Do not include passwords, cookies, or other private credentials. # Actor input Schema ## `queries` (type: `array`): Product names, brands, keywords, or models to search for. ## `startUrls` (type: `array`): Amazon search pages or public product detail URLs. These can be combined with queries and ASINs. ## `asins` (type: `array`): Ten-character Amazon Standard Identification Numbers for direct product extraction. ## `marketplace` (type: `string`): Amazon marketplace used for queries and ASINs. ## `sort` (type: `string`): Sort order applied to generated query searches. ## `maxItems` (type: `integer`): Maximum unique product rows saved across all queries, URLs, and ASINs. ## `enrichDetails` (type: `boolean`): Visit product pages to add brand, category, list price, savings, availability, seller, variants, and more images. This is slower and uses more proxy bandwidth. ## Actor input object example ```json { "queries": [ "wireless headphones" ], "marketplace": "US", "sort": "relevance", "maxItems": 20, "enrichDetails": false } ``` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "queries": [ "wireless headphones" ], "marketplace": "US", "maxItems": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("fetch_cat/amazon-products-search-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "queries": ["wireless headphones"], "marketplace": "US", "maxItems": 20, } # Run the Actor and wait for it to finish run = client.actor("fetch_cat/amazon-products-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "queries": [ "wireless headphones" ], "marketplace": "US", "maxItems": 20 }' | apify call fetch_cat/amazon-products-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fetch_cat/amazon-products-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Products & Search Scraper", "description": "Extract Amazon product search results, pricing, availability, sellers, ratings, and product details across marketplaces.", "version": "0.1", "x-build-id": "beKJ4XuuVyxMqOJhO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fetch_cat~amazon-products-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fetch_cat-amazon-products-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fetch_cat~amazon-products-search-scraper/runs": { "post": { "operationId": "runs-sync-fetch_cat-amazon-products-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fetch_cat~amazon-products-search-scraper/run-sync": { "post": { "operationId": "run-sync-fetch_cat-amazon-products-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "queries": { "title": "Search queries", "type": "array", "description": "Product names, brands, keywords, or models to search for.", "items": { "type": "string" } }, "startUrls": { "title": "Amazon search or product URLs", "type": "array", "description": "Amazon search pages or public product detail URLs. These can be combined with queries and ASINs.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "asins": { "title": "ASINs", "type": "array", "description": "Ten-character Amazon Standard Identification Numbers for direct product extraction.", "items": { "type": "string" } }, "marketplace": { "title": "Marketplace", "enum": [ "US", "CA", "UK", "DE", "FR", "IT", "ES", "AU", "IN", "JP" ], "type": "string", "description": "Amazon marketplace used for queries and ASINs.", "default": "US" }, "sort": { "title": "Search sorting", "enum": [ "relevance", "price-asc", "price-desc", "reviews", "newest" ], "type": "string", "description": "Sort order applied to generated query searches.", "default": "relevance" }, "maxItems": { "title": "Maximum products", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum unique product rows saved across all queries, URLs, and ASINs.", "default": 20 }, "enrichDetails": { "title": "Enrich product details", "type": "boolean", "description": "Visit product pages to add brand, category, list price, savings, availability, seller, variants, and more images. This is slower and uses more proxy bandwidth.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```