# Amazon Product & Price Scraper (`technicaldost/amazon-product-price-scraper`) Actor Scrape Amazon product details and prices: title, price, list price, rating, review count, availability, images and ASIN. Track competitors and build pricing datasets. Structured JSON output. - **URL**: https://apify.com/technicaldost/amazon-product-price-scraper.md - **Developed by:** [Technical Dost Solutions](https://apify.com/technicaldost) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ## Amazon Product & Price Scraper ### What this Actor does Extract clean, structured product data from public Amazon (and other e-commerce) product pages. It processes user-provided public product URLs, prioritizes JSON-LD/schema.org `Product` and `Offer` structured data, and can optionally use a conservative fallback that reads common visible product-page elements (title, price, rating, availability, image). It normalizes useful fields, deduplicates by product URL, and saves structured records to the Apify dataset. ### Why this Actor is useful Sellers, analysts, and price-monitoring teams pay for this kind of extraction because it replaces manual page checking, creates repeatable price and availability monitoring, feeds spreadsheets, dashboards, and repricing tools, and turns scattered public product pages into a clean, API-ready dataset. ### Who this is for - E-commerce sellers and brands monitoring their listings - Price intelligence and repricing teams - Market and competitive research analysts - Affiliate marketers curating product data - Retailers tracking availability and rating trends ### Common use cases - Track price and availability across multiple product pages - Monitor competitor listings for changes - Feed a dashboard or spreadsheet with fresh product data - Build recurring price-history datasets - Enrich a catalog with brand, rating, and image data ### Input | Field | Type | Description | | --- | --- | --- | | `startUrls` | array (required) | Public product page URLs to extract from. Use only pages you may access without login or bypassing access controls. | | `maxItems` | integer | Maximum rows to save. Default 50, min 1, max 10000. | | `maxConcurrency` | integer | Pages processed in parallel. Default 3, min 1, max 20. | | `extractionMode` | string | `structuredDataOnly` or `structuredDataWithFallback` (default). The fallback safely reads visible public product-page elements. | | `requestTimeoutSecs` | integer | Maximum time per page. Default 30, min 5, max 180. | | `proxyConfiguration` | object | Optional Apify proxy configuration where permitted by your source review. | ### Output | Field | Description | | --- | --- | | `productTitle` | Product name/title. | | `brand` | Brand name when available. | | `sku` | SKU, MPN, or GTIN identifier when present. | | `price` | Numeric price of the product. | | `currency` | Currency of the price (e.g. USD, INR, EUR). | | `availability` | Availability / stock status when published. | | `rating` | Aggregate rating value when available. | | `reviewCount` | Number of reviews when available. | | `imageUrl` | Public URL of the main product image. | | `productUrl` | Public URL of the product detail page. | | `sourceUrl` | URL where the data was extracted. | | `detectedAt` | Timestamp when this Actor extracted the row. | | `extractionMethod` | `structured_data` for schema data, or `fallback_public_product_page` for visible public elements. | | `confidenceScore` | Heuristic confidence based on structured data availability and completeness. | | `missingFields` | Required fields that were not available from the source page. | ### Sample input ```json { "startUrls": [ { "url": "https://www.amazon.com/dp/B0BSHF7WHW" } ], "maxItems": 25, "maxConcurrency": 3, "extractionMode": "structuredDataWithFallback", "requestTimeoutSecs": 30 } ```` ### Sample output ```json { "productTitle": "Wireless Noise-Cancelling Headphones", "brand": "Acme Audio", "sku": "B0BSHF7WHW", "price": 199.99, "currency": "USD", "availability": "InStock", "rating": 4.5, "reviewCount": 1284, "imageUrl": "https://example.com/images/headphones.jpg", "productUrl": "https://www.example.com/dp/B0BSHF7WHW", "sourceUrl": "https://www.example.com/dp/B0BSHF7WHW", "detectedAt": "2026-06-27T00:00:00.000Z", "extractionMethod": "structured_data", "confidenceScore": 0.95, "missingFields": [] } ``` ### Pricing This Actor uses a pay-per-event model: **$0.005 per product result** saved to the dataset. You pay only for the structured product rows you receive, which makes recurring monitoring predictable and low-cost. ### How to use Run this Actor on Apify with public product page URLs, export the dataset as JSON, CSV, or Excel, or pull it through the Apify API. Connect the output to Google Sheets, Make, Zapier, a webhook, your dashboard, or a repricing tool. For monitoring, save the input as an Apify task and schedule recurring runs to track price and availability changes. ### Best practices - Start with a small set of reviewed public product URLs. - Prefer pages that expose schema.org / JSON-LD structured data. - Use `structuredDataOnly` for highest precision; use `structuredDataWithFallback` for pages that only show visible product elements. - Keep `maxConcurrency` low for cautious, low-footprint runs. - Review each source website's rules before scheduling recurring runs. ### Compliance and responsible use This Actor is for public data only. It must not be used to bypass logins, paywalls, CAPTCHAs, or security systems, to collect private or sensitive personal data, or to support spam or abuse. Product information processed here should be publicly published product pages. You are responsible for following applicable laws and each source website's rules. ### Limitations - Output quality depends on the public structured data available on the source pages. - Fallback extraction is intentionally conservative and only looks for common visible public product-page elements. It does not claim universal store support. - Prices and values are extracted as published; formats vary by store and country and are not reformatted or converted. - Some fields may be empty when the source does not publish them; these appear in `missingFields`. - The Actor does not claim support for any specific third-party e-commerce platform. - Website markup and access policies can change. ### Troubleshooting - Empty output usually means the page has no public structured product data and no recognizable visible product elements. - Invalid URL errors mean one or more input URLs are malformed. - Slow runs can usually be improved by lowering `maxConcurrency`. - Missing fields are source-data limitations, not inferred values. ### Changelog - v0.1.0: Initial release with structured-data-first extraction, conservative public product-page fallback, and confidence scoring. # Actor input Schema ## `startUrls` (type: `array`): Public Amazon (or other e-commerce) product page URLs to extract from. Use only URLs you are allowed to access without login, paywall bypass, CAPTCHA bypass, or security circumvention. ## `maxItems` (type: `integer`): Maximum number of normalized product rows to save. The Actor stops pushing new rows when this limit is reached. ## `maxConcurrency` (type: `integer`): How many product pages to process at once. Lower this for cautious, low-footprint runs. ## `extractionMode` (type: `string`): Use structured schema.org data only, or allow a conservative fallback that reads common visible public product-page elements (title, price, rating). ## `requestTimeoutSecs` (type: `integer`): Maximum time to spend processing a single page before it is treated as failed. ## `proxyConfiguration` (type: `object`): Optional Apify proxy configuration. Use only where permitted by the source website and your compliance process. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.amazon.com/dp/B0BSHF7WHW" } ], "maxItems": 50, "maxConcurrency": 3, "extractionMode": "structuredDataWithFallback", "requestTimeoutSecs": 30 } ``` # 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 = { "startUrls": [ { "url": "https://www.amazon.com/dp/B0BSHF7WHW" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("technicaldost/amazon-product-price-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 = { "startUrls": [{ "url": "https://www.amazon.com/dp/B0BSHF7WHW" }] } # Run the Actor and wait for it to finish run = client.actor("technicaldost/amazon-product-price-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 '{ "startUrls": [ { "url": "https://www.amazon.com/dp/B0BSHF7WHW" } ] }' | apify call technicaldost/amazon-product-price-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=technicaldost/amazon-product-price-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Product & Price Scraper", "description": "Scrape Amazon product details and prices: title, price, list price, rating, review count, availability, images and ASIN. Track competitors and build pricing datasets. Structured JSON output.", "version": "0.1", "x-build-id": "xjKW2h0eHULeYlFyK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/technicaldost~amazon-product-price-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-technicaldost-amazon-product-price-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/technicaldost~amazon-product-price-scraper/runs": { "post": { "operationId": "runs-sync-technicaldost-amazon-product-price-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/technicaldost~amazon-product-price-scraper/run-sync": { "post": { "operationId": "run-sync-technicaldost-amazon-product-price-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Public product page URLs", "type": "array", "description": "Public Amazon (or other e-commerce) product page URLs to extract from. Use only URLs you are allowed to access without login, paywall bypass, CAPTCHA bypass, or security circumvention.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Maximum results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of normalized product rows to save. The Actor stops pushing new rows when this limit is reached.", "default": 50 }, "maxConcurrency": { "title": "Maximum concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many product pages to process at once. Lower this for cautious, low-footprint runs.", "default": 3 }, "extractionMode": { "title": "Extraction mode", "enum": [ "structuredDataOnly", "structuredDataWithFallback" ], "type": "string", "description": "Use structured schema.org data only, or allow a conservative fallback that reads common visible public product-page elements (title, price, rating).", "default": "structuredDataWithFallback" }, "requestTimeoutSecs": { "title": "Request timeout seconds", "minimum": 5, "maximum": 180, "type": "integer", "description": "Maximum time to spend processing a single page before it is treated as failed.", "default": 30 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional Apify proxy configuration. Use only where permitted by the source website and your compliance process." } } }, "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 } } } } } } } } } } ```