# ✨ Amazon Search Scraper (`damilo/amazon-search-scraper`) Actor ⚡ Ultra-fast Amazon Search Scraper for Apify. Grab real-time product intel—ASIN, title, price, rating, reviews, Prime badge, delivery—across 20 + Amazon sites. Smart filters: ZIP & ship-to, sort, Prime-only, in-stock. Perfect for price tracking, product research, and competitor watch. - **URL**: https://apify.com/damilo/amazon-search-scraper.md - **Developed by:** [Imad](https://apify.com/damilo) (community) - **Categories:** E-commerce, Automation - **Stats:** 89 total users, 2 monthly users, 100.0% runs succeeded, 5 bookmarks - **User rating**: 2.00 out of 5 stars ## Pricing $3.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 Search Scraper (Apify Actor) ✅ If this actor saved you time, a ⭐⭐⭐⭐⭐ review helps me keep improving! Looking for a **fast, reliable Amazon scraper** with localized results, full deal tagging, and support for both **organic and sponsored products**? Meet **Amazon Search Scraper** – the easiest way to extract live product listings into structured JSON for price tracking, research, and automation. --- ### Table of Contents 1. [Key Benefits](#key-benefits) 2. [Typical Use Cases](#typical-use-cases) 3. [Features](#features) 4. [Input Parameters](#input-parameters) 5. [Example Input](#example-input) 6. [Output](#output) 7. [Limitations & Best Practices](#limitations--best-practices) 8. [Support](#support) --- ### Key Benefits - **Structured Data** – Get ASIN, title, price, rating, reviews, availability, deals, and more. - **Sponsored Products** – Optionally include ad-backed listings from brands and headline banners. - **Accurate Localization** – Use ZIP code and country targeting for precise availability. - **Global Domains** – Works with 15+ Amazon storefronts including `.com`, `.co.uk`, `.de`, `.in`, and more. - **No CAPTCHAs, No Blocks** – Powered by ScrapingDog’s Amazon Search API for high reliability. - **Built for Apify** – Plug-and-play deployment, scheduling, storage, and integrations. --- ### Typical Use Cases | Problem | How the scraper helps | | ------------------------------ | ----------------------------------------------------------------------------- | | **Price Monitoring** | Track live pricing data across any product category or region. | | **Competitor Benchmarking** | Compare sponsored vs organic visibility, Prime eligibility, and buyer volume. | | **Keyword & Listing Research** | Identify bestsellers, Amazon Choice tags, and real-time review metrics. | | **Deal Aggregation** | Extract products flagged with “Deal of the Day” or “Limited Time Deal.” | | **International Product Sync** | Track item availability and prices across Amazon locales. | --- ### Features - 🔍 **Organic & Sponsored Listings** – Scrapes both product types in one run. - 🏷️ **Rich Metadata** – Extract flags like `Prime`, `Best Seller`, `Amazon's Choice`, `Deals`, and `People Bought`. - 🌍 **Country + ZIP Targeting** – Personalize results by shipping location and postal code. - 📦 **Availability Quantities** – Know stock estimates when available. - 📊 **Auto Pagination** – Up to 10 pages scraped or stop at max results (`max_results`). - 🧩 **Full Apify Integration** – Schedule runs, export to BigQuery or S3, trigger webhooks, and more. --- ### Input Parameters | Key | Type | Required | Default | Description | | ------------- | ------- | -------- | ------- | ---------------------------------------------------- | | `query` | string | **Yes** | – | Keyword(s) to search on Amazon. | | `sponsored` | boolean | No | `false` | Whether to include sponsored products in the output. | | `domain` | string | No | `com` | Amazon domain (e.g. `com`, `co.uk`, `de`, `in`). | | `country` | string | No | `us` | ISO country code for shipping context. | | `zip` | string | No | – | ZIP/postal code to personalize results. | | `max_results` | integer | No | `35` | Total number of results to scrape (up to ~480). | --- ### Example Input ![Input](./assets/input.png) ```json { "query": "mechanical keyboard", "sponsored": true, "domain": "co.uk", "country": "gb", "zip": "W1A 1AA", "max_results": 50 } ```` *** ### Output ![Output](./assets/output.png) Each run produces a JSON dataset like: ```json [ { "image": "https://images.amazon.com/abc.jpg", "title": "Keychron K6 Wireless Mechanical Keyboard", "has_prime": true, "is_best_seller": false, "is_amazon_choice": true, "limited_time_deal": true, "deal_of_the_day": false, "stars": 4.7, "total_reviews": 5219, "url": "https://www.amazon.co.uk/dp/B08XYZ1234", "sponsored": true, "number_of_people_bought": "3K+ bought in past month", "asin": "B08XYZ1234", "availability_quantity": "Only 4 left in stock", "price": "£89.00", "position": 1 } ] ``` > View structured results instantly in **Dataset → Overview** inside Apify Console. *** ### Limitations & Best Practices - 🧭 **Pagination Limit** – Max ~10 pages per query, regardless of `max_results`. - 🚨 **API Stability** – If results are missing or malformed, retry the run or contact support. - ⚖️ **Legal Use Only** – Respect Amazon’s Terms of Service and your local scraping laws. *** ### Support - 💬 **Community Help** – Ask questions via [Apify Discord](https://discord.gg/jyEM2PR) or open a GitHub issue. - 🛠️ **Commercial Support** – Need customization or scaling help? Reach out on Apify Marketplace. *** #### Why Use Amazon Search Scraper? Because getting **accurate, localized, real-time Amazon search data** shouldn't be a hassle.\ This actor is lightweight, scalable, and built for speed—so you get the data you need, without the headaches. > **Click “Try for free” and start scraping in under 60 seconds!** *** ### Other useful actors: - [Google Shopping Apify](https://apify.com/damilo/google-shopping-apify) - [Google Images Scraper](https://apify.com/damilo/google-images-scraper) - [Google Search Results Scraper](https://apify.com/damilo/google-search-apify) # Actor input Schema ## `query` (type: `string`): The query to search for. ## `sponsored` (type: `boolean`): Whether to include sponsored products in the results. ## `domain` (type: `string`): The Amazon domain to search in. ## `zip` (type: `string`): The ZIP code to search in. ## `country` (type: `string`): The country where the products are shipped to. ## `max_results` (type: `integer`): The maximum number of results to scrape. ## Actor input object example ```json { "query": "coffee", "sponsored": false, "domain": "com", "zip": "", "country": "us", "max_results": 35 } ``` # 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 = { "query": "coffee", "sponsored": false, "domain": "com", "zip": "", "country": "us", "max_results": 35 }; // Run the Actor and wait for it to finish const run = await client.actor("damilo/amazon-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 = { "query": "coffee", "sponsored": False, "domain": "com", "zip": "", "country": "us", "max_results": 35, } # Run the Actor and wait for it to finish run = client.actor("damilo/amazon-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 '{ "query": "coffee", "sponsored": false, "domain": "com", "zip": "", "country": "us", "max_results": 35 }' | apify call damilo/amazon-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=damilo/amazon-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "✨ Amazon Search Scraper", "description": "⚡ Ultra-fast Amazon Search Scraper for Apify. Grab real-time product intel—ASIN, title, price, rating, reviews, Prime badge, delivery—across 20 + Amazon sites. Smart filters: ZIP & ship-to, sort, Prime-only, in-stock. Perfect for price tracking, product research, and competitor watch.", "version": "0.0", "x-build-id": "IHTB6Omht1ai8HCJJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/damilo~amazon-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-damilo-amazon-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/damilo~amazon-search-scraper/runs": { "post": { "operationId": "runs-sync-damilo-amazon-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/damilo~amazon-search-scraper/run-sync": { "post": { "operationId": "run-sync-damilo-amazon-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "query" ], "properties": { "query": { "title": "Search query", "type": "string", "description": "The query to search for.", "default": "coffee" }, "sponsored": { "title": "Include sponsored products", "type": "boolean", "description": "Whether to include sponsored products in the results.", "default": false }, "domain": { "title": "Country", "enum": [ "com", "com.au", "com.br", "ca", "cn", "eg", "fr", "de", "in", "it", "mx", "jp", "co.uk", "es", "pt", "tr" ], "type": "string", "description": "The Amazon domain to search in.", "default": "com" }, "zip": { "title": "ZIP Code", "type": "string", "description": "The ZIP code to search in.", "default": "" }, "country": { "title": "Country", "enum": [ "au", "br", "ca", "cn", "fr", "de", "in", "mx", "it", "jp", "ru", "us", "uk", "es" ], "type": "string", "description": "The country where the products are shipped to.", "default": "us" }, "max_results": { "title": "Max results to scrape", "type": "integer", "description": "The maximum number of results to scrape.", "default": 35 } } }, "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 } } } } } } } } } } ```