# Amazon Books Reviews Actor (`getdataforme/amazon-books-reviews-actor`) Actor Extract book reviews, ratings, and descriptions from Amazon Kindle pages with structured JSON output. Ideal for sentiment analysis, author monitoring, and review aggregation. Just provide book URLs and get rich review data fast and reliably. - **URL**: https://apify.com/getdataforme/amazon-books-reviews-actor.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** E-commerce - **Stats:** 20 total users, 0 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: No ratings yet ## Pricing $25.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#rental-actors ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — 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-books-reviews Scrape detailed book reviews from Amazon.com, including reviewer feedback, ratings, descriptions, and metadata. Ideal for publishers, authors, data analysts, or anyone interested in public reader sentiment. *** ### 🌐 Website **Target**: amazon.com **Function**: Extracts book descriptions and individual customer reviews from Amazon Kindle product pages. *** ### 📥 Input Example ```json { "item_limit": 15, "urls": [ "amazon.com/Cruel-Deception-Multiple-Devastated-Families-ebook/dp/B003J48C54/ref=pd_sim_d_sccl_1_2/132-9863797-7097267?psc=1" ] } ``` - `item_limit` *(optional)*: Maximum number of reviews to scrape. - `urls`: List of Amazon Kindle book URLs. *** ### 📤 Output Example ```json { "url": "amazon.com/Cruel-Deception-Multiple-Devastated-Families-ebook/dp/B003J48C54", "title": "Amazon.com: Cruel Deception...", "description": "Cruel Deception: A True Story of Murder and a Mother's Deadly Game...", "profile_name": "Greg", "review_date": "Reviewed in the United States on October 23, 2024", "country": "United States", "review_text": "MSBP is well known to me, however I didn't realize that only 30 years ago...", "rating": "5.0 out of 5 stars" } ``` > Returns structured JSON containing title, full description, reviewer name, review content, star rating, and more. *** ### ✅ Use Cases - Author and book reputation monitoring - Reader sentiment analysis - Data enrichment for review aggregators - Competitive analysis in Kindle market *** ### 🚀 How It Works 1. Provide one or more Amazon Kindle book URLs. 2. The actor fetches each page and scrapes: - Book title and description - Latest reviews, reviewer profiles, ratings, and review content 3. Results are returned in structured, machine-readable JSON. *** ### 🔧 Advanced Options This actor works well with: - **Apify Webhooks**: For triggering automation after a run finishes - **Scheduled runs**: For continuous review tracking - **Dataset export**: To CSV/Excel for easy analysis *** ### 🛟 Support For help, bug reports, or custom scraping needs: 📧 **Email**: 🌐 **Contact**: > Be sure to include your **Apify run ID** or **input URL** when reaching out. *** ### 📝 Author Built and maintained by **GetDataForMe** — Simplifying data access, one actor at a time. *** # 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-books-reviews-actor").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-books-reviews-actor").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-books-reviews-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/amazon-books-reviews-actor" } } } ``` 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/NeRSwKc05vvvgTG3Z/builds/i6F6onvkmbqlYBDON/openapi.json