# Amazon Product Reviews Scraper (`getdataforme/amazon-product-reviews-scraper`) Actor Amazon Product Reviews Scraper extracts customer reviews from Amazon product pages. Provide product URLs and proxy settings (Apify Proxy), and retrieve structured JSON with profile name, review text, rating, and review date. Supports batch URL processing. Great for sentiment and market analysis - **URL**: https://apify.com/getdataforme/amazon-product-reviews-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Automation, Lead generation, Real estate - **Stats:** 334 total users, 6 monthly users, 95.3% runs succeeded, 0 bookmarks - **User rating**: 2.91 out of 5 stars ## 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ### Amazon Product Reviews Scraper ### Introduction The **Amazon Product Reviews Scraper** is an Apify Actor that extracts customer reviews from Amazon product pages. Simply provide one or more Amazon product URLs along with proxy settings, and get back a structured JSON array of review details. *** ### Input Parameters | Parameter | Type | Required | Description | |------------------------|-----------|:--------:|-------------------------------------------------------------------------------------------------| | `proxyConfiguration` | object | Yes | Proxy settings to avoid IP blocks and ensure reliable scraping. | | └─ `useApifyProxy` | boolean | Yes | Whether to route requests through Apify Proxy. | | └─ `apifyProxyGroups` | string\[] | No | List of Apify Proxy groups to use (e.g., `["RESIDENTIAL"]`). | | └─ `apifyProxyCountry` | string | No | Preferred country for proxy exit node (e.g., `"IN"`). | | `urls` | string\[] | Yes | Array of Amazon product page URLs to scrape reviews from. | **Example Input** ```json { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN" }, "urls": [ "https://www.amazon.in/dp/B0C9M75XWR" ] } ``` *** ### Features - **Apify Proxy Integration**: Built‑in proxy support to bypass rate limits and geographic restrictions. - **Multi‑URL Processing**: Scrape reviews from multiple Amazon products in one run. - **Structured JSON Output**: Returns clean data fields for each review (profile, text, date, rating). - **Lightweight & Fast**: Optimized for speed with retry logic on transient errors. - **Locale‑Aware Parsing**: Captures review date strings as displayed (e.g., “Reviewed in India on …”). *** ### Output The Actor returns a JSON array where each element represents one review: ```json [ { "profile_name": "Akanksha", "profile_url": "/gp/profile/amzn1.account.AGRWTHMY75YXA754OBHTRELLE7BQ/ref=cm_cr_dp_d_gw_tr?ie=UTF8", "review_text": "Low absorption, rough and scratchy, bulky, ill fitting productRead more", "rating": null, "review_date": "Reviewed in India on 16 October 2024" }, { "profile_name": "Gayathri", "profile_url": "/gp/profile/amzn1.account.AHYGVBUEH2BYLSJJUUEZ4RNCSR3Q/ref=cm_cr_dp_d_gw_tr?ie=UTF8", "review_text": "These diapers absorbs 9-10 pee at a time. Then it leaks. But it can be purchased and used for less time conception purpose.Read more", "rating": null, "review_date": "Reviewed in India on 8 October 2024" } ] ``` *** ### Possible Use Cases - **Sentiment Analysis** on customer feedback for product improvements. - **Competitor Benchmarking** by comparing review counts and sentiments across similar products. - **Quality Assurance** to detect recurring issues or defects reported by users. - **Customer Support Automation** by flagging negative reviews for immediate attention. - **Market Research** to gauge regional preferences and review volume trends. *** ### Support For bug reports or custom needs, contact: 📧 **** Or use our contact form: # Actor input Schema ## `urls` (type: `array`): A list of URLs of the web pages you want to scrape data from. ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## Actor input object example ```json { "urls": [ "https://www.amazon.com/SEREED-Balance-Toddler-Wheels-Birthday/dp/B08SGH7NKX/ref=sr_1_3?_encoding=UTF8&content-id=amzn1.sym.db4c8a8b-ebce-43d6-afeb-c39934278ec6&dib=eyJ2IjoiMSJ9.qp-rlktUOoWphIcrBoOpV11hylxFhC9x5fpIxo5hV8Qs4Vj8AS0zzyvsrU8rBv3GTgtDBINAvJ_DGGUkfgOSs_PFkQMQ7AB3ULRoWkAlahiG-H8D8on3SMM7Z5j8rVPpkoGMrNatdO3y_h7dr0yQBQV2vLTK9Xx17qMcEqyP7LlYiq07evUFjgOeBoDcqgbnGG1do0TeauQwoIkXesHi1RQ3kCk6sdWD3xQhoQZtflWg7a7YhesIAaar5WP7qZZz4LevjZDvEgrr2vSlOOEnfRX6ebr3eR0wZ_0KG3-IXOTExw4JKTqKZzEGty44b98EvvzY5zILVOh5VcxOyBPt2OZd_bJGVHUUjLfQ4JS0hDpsn3hd83CQCyJtXIp-kCjgBfzQnKIq1Jm48InmTKd4L6vqRwDRIoOZmqDnDIG57avivKrpWLdSwuzOfsDqzvn_.qtr0cfNfET19s_0zNn1mEPQG443EQQbGD_3-zQsSFYE&dib_tag=se&keywords=ride+on+toys&pd_rd_r=730fec8b-8613-41f7-ab1a-7386fdad200f&pd_rd_w=K5MDx&pd_rd_wg=78Utl&pf_rd_p=db4c8a8b-ebce-43d6-afeb-c39934278ec6&pf_rd_r=FHA990DS5BTPECKDY4SS&qid=1736855612&sr=8-3" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "urls": [ "https://www.amazon.com/SEREED-Balance-Toddler-Wheels-Birthday/dp/B08SGH7NKX/ref=sr_1_3?_encoding=UTF8&content-id=amzn1.sym.db4c8a8b-ebce-43d6-afeb-c39934278ec6&dib=eyJ2IjoiMSJ9.qp-rlktUOoWphIcrBoOpV11hylxFhC9x5fpIxo5hV8Qs4Vj8AS0zzyvsrU8rBv3GTgtDBINAvJ_DGGUkfgOSs_PFkQMQ7AB3ULRoWkAlahiG-H8D8on3SMM7Z5j8rVPpkoGMrNatdO3y_h7dr0yQBQV2vLTK9Xx17qMcEqyP7LlYiq07evUFjgOeBoDcqgbnGG1do0TeauQwoIkXesHi1RQ3kCk6sdWD3xQhoQZtflWg7a7YhesIAaar5WP7qZZz4LevjZDvEgrr2vSlOOEnfRX6ebr3eR0wZ_0KG3-IXOTExw4JKTqKZzEGty44b98EvvzY5zILVOh5VcxOyBPt2OZd_bJGVHUUjLfQ4JS0hDpsn3hd83CQCyJtXIp-kCjgBfzQnKIq1Jm48InmTKd4L6vqRwDRIoOZmqDnDIG57avivKrpWLdSwuzOfsDqzvn_.qtr0cfNfET19s_0zNn1mEPQG443EQQbGD_3-zQsSFYE&dib_tag=se&keywords=ride+on+toys&pd_rd_r=730fec8b-8613-41f7-ab1a-7386fdad200f&pd_rd_w=K5MDx&pd_rd_wg=78Utl&pf_rd_p=db4c8a8b-ebce-43d6-afeb-c39934278ec6&pf_rd_r=FHA990DS5BTPECKDY4SS&qid=1736855612&sr=8-3" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/amazon-product-reviews-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 = { "urls": ["https://www.amazon.com/SEREED-Balance-Toddler-Wheels-Birthday/dp/B08SGH7NKX/ref=sr_1_3?_encoding=UTF8&content-id=amzn1.sym.db4c8a8b-ebce-43d6-afeb-c39934278ec6&dib=eyJ2IjoiMSJ9.qp-rlktUOoWphIcrBoOpV11hylxFhC9x5fpIxo5hV8Qs4Vj8AS0zzyvsrU8rBv3GTgtDBINAvJ_DGGUkfgOSs_PFkQMQ7AB3ULRoWkAlahiG-H8D8on3SMM7Z5j8rVPpkoGMrNatdO3y_h7dr0yQBQV2vLTK9Xx17qMcEqyP7LlYiq07evUFjgOeBoDcqgbnGG1do0TeauQwoIkXesHi1RQ3kCk6sdWD3xQhoQZtflWg7a7YhesIAaar5WP7qZZz4LevjZDvEgrr2vSlOOEnfRX6ebr3eR0wZ_0KG3-IXOTExw4JKTqKZzEGty44b98EvvzY5zILVOh5VcxOyBPt2OZd_bJGVHUUjLfQ4JS0hDpsn3hd83CQCyJtXIp-kCjgBfzQnKIq1Jm48InmTKd4L6vqRwDRIoOZmqDnDIG57avivKrpWLdSwuzOfsDqzvn_.qtr0cfNfET19s_0zNn1mEPQG443EQQbGD_3-zQsSFYE&dib_tag=se&keywords=ride+on+toys&pd_rd_r=730fec8b-8613-41f7-ab1a-7386fdad200f&pd_rd_w=K5MDx&pd_rd_wg=78Utl&pf_rd_p=db4c8a8b-ebce-43d6-afeb-c39934278ec6&pf_rd_r=FHA990DS5BTPECKDY4SS&qid=1736855612&sr=8-3"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("getdataforme/amazon-product-reviews-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://www.amazon.com/SEREED-Balance-Toddler-Wheels-Birthday/dp/B08SGH7NKX/ref=sr_1_3?_encoding=UTF8&content-id=amzn1.sym.db4c8a8b-ebce-43d6-afeb-c39934278ec6&dib=eyJ2IjoiMSJ9.qp-rlktUOoWphIcrBoOpV11hylxFhC9x5fpIxo5hV8Qs4Vj8AS0zzyvsrU8rBv3GTgtDBINAvJ_DGGUkfgOSs_PFkQMQ7AB3ULRoWkAlahiG-H8D8on3SMM7Z5j8rVPpkoGMrNatdO3y_h7dr0yQBQV2vLTK9Xx17qMcEqyP7LlYiq07evUFjgOeBoDcqgbnGG1do0TeauQwoIkXesHi1RQ3kCk6sdWD3xQhoQZtflWg7a7YhesIAaar5WP7qZZz4LevjZDvEgrr2vSlOOEnfRX6ebr3eR0wZ_0KG3-IXOTExw4JKTqKZzEGty44b98EvvzY5zILVOh5VcxOyBPt2OZd_bJGVHUUjLfQ4JS0hDpsn3hd83CQCyJtXIp-kCjgBfzQnKIq1Jm48InmTKd4L6vqRwDRIoOZmqDnDIG57avivKrpWLdSwuzOfsDqzvn_.qtr0cfNfET19s_0zNn1mEPQG443EQQbGD_3-zQsSFYE&dib_tag=se&keywords=ride+on+toys&pd_rd_r=730fec8b-8613-41f7-ab1a-7386fdad200f&pd_rd_w=K5MDx&pd_rd_wg=78Utl&pf_rd_p=db4c8a8b-ebce-43d6-afeb-c39934278ec6&pf_rd_r=FHA990DS5BTPECKDY4SS&qid=1736855612&sr=8-3" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call getdataforme/amazon-product-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/amazon-product-reviews-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/yRevUKZ4qjYcHZYuq/builds/vRHHTCUo5BCFYx0hz/openapi.json