# netOrb Amazon Scraper (`netorb/netorb-amazon-scraper`) Actor Scrape Amazon search/category pages into clean product records with rating, price, image, and ready-to-use affiliate links. - **URL**: https://apify.com/netorb/netorb-amazon-scraper.md - **Developed by:** [netOrb Canada](https://apify.com/netorb) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 82.4% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 ## netOrb Amazon Scraper Scrape Amazon **search / category** pages into clean product records — and get a ready-to-use affiliate link for each. Built because Amazon hides price/rating/image behind JS on product *detail* pages, but exposes them right in the **search-results HTML** (`data-asin`, `.a-price`, `.a-icon-alt`, `.s-image`). One pass over the search page gets everything. ### Input | Field | Type | Default | Notes | |---|---|---|---| | `searchUrls` | array | — | Amazon search/category URLs. Marketplace (amazon.ca/.com) is read from the URL. **Required.** | | `minRating` | string | `4.5` | Only return products at or above this rating. Unrated products are skipped. | | `maxItems` | integer | `80` | Stop after this many qualifying products. You're billed per returned result. | | `maxPagesPerUrl` | integer | `5` | Result pages to follow per start URL (Amazon caps search at ~7 pages). | | `affiliateTag` | string | _(empty)_ | **Your own** Amazon Associates tag (e.g. `yourtag-20`), appended as `?tag=...` to each `affiliateUrl`. Leave empty for a plain product URL. Never use someone else's tag. | | `proxyConfiguration` | object | RESIDENTIAL | **Residential proxy is effectively required** — Amazon blocks datacenter/free IPs, so without it most runs return nothing. | Tip: each URL must be a **search or category** page (`.../s?k=...`), not a product (`/dp/...`) page. Filter on Amazon first (e.g. "4 stars & up") and paste that URL — fewer pages to scan. ### Output (one dataset item per product) ```json { "asin": "B0CMYXLX13", "title": "Yealink SIP-T34W WiFi IP Phone ...", "brand": "Yealink", "rating": 4.6, "reviewCount": 128, "price": 129.99, "currency": "CAD", "imageUrl": "https://m.media-amazon.com/images/I/....jpg", "productUrl": "https://www.amazon.ca/dp/B0CMYXLX13", "affiliateUrl": "https://www.amazon.ca/dp/B0CMYXLX13/?tag=yourtag-20" } ```` Any of `price`, `rating`, `reviewCount`, `imageUrl`, `brand`, `currency` may be `null` when Amazon's search card omits them. `brand` is best-effort (first title token) and can be wrong. If no products match `minRating`, the run succeeds with an empty dataset and a warning; if Amazon blocks every request or you pass a non-search URL, the run **fails** with a clear message rather than silently returning nothing. ### Notes / limitations - **Amazon actively blocks scrapers.** Residential proxy + session rotation + retries are built in, but success is not guaranteed; expect occasional captcha retries. Use this in compliance with Amazon's terms and applicable law. - Uses **CheerioCrawler** (no browser) to keep compute/cost low. If blocking gets bad, switch the Dockerfile to `apify/actor-node-playwright-chrome` and use `PlaywrightCrawler`. - Search-card selectors can drift when Amazon changes its layout — update the selectors in `src/main.js` if extraction returns empty. # Actor input Schema ## `searchUrls` (type: `array`): One or more Amazon search or category page URLs. The marketplace (amazon.ca, amazon.com, ...) is taken from each URL. Tip: filter on Amazon first (e.g. 4-stars-and-up) and paste that URL. ## `minRating` (type: `string`): Only return products with at least this rating, 0–5 (e.g. 4.5). Products without a rating are skipped. Non-numeric input is treated as 0. ## `maxItems` (type: `integer`): Stop after this many qualifying products (across all start URLs). Amazon search caps at ~7 pages (~150 results), so that's the practical ceiling. You are billed per returned result. ## `maxPagesPerUrl` (type: `integer`): How many result pages to follow per start URL. Amazon limits search to ~7 pages. ## `affiliateTag` (type: `string`): YOUR own Amazon Associates tag (e.g. yourtag-20). Appended to each product link as ?tag=... so affiliateUrl is ready to use. Leave EMPTY to get a plain product URL with no tag — do not use someone else's tag. ## `proxyConfiguration` (type: `object`): Residential proxy is strongly recommended — Amazon blocks datacenter IPs aggressively. ## Actor input object example ```json { "searchUrls": [ "https://www.amazon.ca/s?k=voip+phones" ], "minRating": "4.5", "maxItems": 80, "maxPagesPerUrl": 5, "affiliateTag": "", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `products` (type: `string`): One item per product: asin, title, brand, rating, reviewCount, price, currency, imageUrl, productUrl, and a ready affiliateUrl. # 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 = { "searchUrls": [ "https://www.amazon.ca/s?k=voip+phones" ], "minRating": "4.5", "maxItems": 80, "maxPagesPerUrl": 5, "affiliateTag": "", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("netorb/netorb-amazon-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 = { "searchUrls": ["https://www.amazon.ca/s?k=voip+phones"], "minRating": "4.5", "maxItems": 80, "maxPagesPerUrl": 5, "affiliateTag": "", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("netorb/netorb-amazon-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 '{ "searchUrls": [ "https://www.amazon.ca/s?k=voip+phones" ], "minRating": "4.5", "maxItems": 80, "maxPagesPerUrl": 5, "affiliateTag": "", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call netorb/netorb-amazon-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=netorb/netorb-amazon-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "netOrb Amazon Scraper", "description": "Scrape Amazon search/category pages into clean product records with rating, price, image, and ready-to-use affiliate links.", "version": "0.2", "x-build-id": "A08gpd7ySTRneqETH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/netorb~netorb-amazon-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-netorb-netorb-amazon-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/netorb~netorb-amazon-scraper/runs": { "post": { "operationId": "runs-sync-netorb-netorb-amazon-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/netorb~netorb-amazon-scraper/run-sync": { "post": { "operationId": "run-sync-netorb-netorb-amazon-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchUrls" ], "properties": { "searchUrls": { "title": "Amazon search / category URLs", "type": "array", "description": "One or more Amazon search or category page URLs. The marketplace (amazon.ca, amazon.com, ...) is taken from each URL. Tip: filter on Amazon first (e.g. 4-stars-and-up) and paste that URL.", "items": { "type": "string" } }, "minRating": { "title": "Minimum star rating", "type": "string", "description": "Only return products with at least this rating, 0–5 (e.g. 4.5). Products without a rating are skipped. Non-numeric input is treated as 0.", "default": "4.5" }, "maxItems": { "title": "Max products", "minimum": 1, "type": "integer", "description": "Stop after this many qualifying products (across all start URLs). Amazon search caps at ~7 pages (~150 results), so that's the practical ceiling. You are billed per returned result.", "default": 80 }, "maxPagesPerUrl": { "title": "Max search pages per URL", "minimum": 1, "type": "integer", "description": "How many result pages to follow per start URL. Amazon limits search to ~7 pages.", "default": 5 }, "affiliateTag": { "title": "Your Amazon Associates tag", "type": "string", "description": "YOUR own Amazon Associates tag (e.g. yourtag-20). Appended to each product link as ?tag=... so affiliateUrl is ready to use. Leave EMPTY to get a plain product URL with no tag — do not use someone else's tag.", "default": "" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Residential proxy is strongly recommended — Amazon blocks datacenter IPs aggressively.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```