# Goodreads Scraper (`fatihai-tools/goodreads-scraper`) Actor Scrape Goodreads book data including ratings, reviews, author info, and genre classifications. Build book recommendation engines, analyze reading trends, and monitor publishing market. - **URL**: https://apify.com/fatihai-tools/goodreads-scraper.md - **Developed by:** [fatih dağüstü](https://apify.com/fatihai-tools) (community) - **Categories:** Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Goodreads Scraper Scrape Goodreads books, authors, lists, and reviews. Search books by keyword, get detailed book info with ratings, browse curated reading lists, and extract author profiles. ### Features - **Search Books** — Find books by keyword with pagination - **Book Details** — Full details from JSON-LD (rating, pages, format, authors, awards) - **Browse Lists** — Scrape any Goodreads list (Best Books Ever, etc.) - **Author Profiles** — Bio, ratings, genres, followers, and their books ### Input | Field | Type | Description | |-------|------|-------------| | `scrapeType` | string | `search`, `book_details`, `list`, `author` | | `searchQuery` | string | Search term for books | | `bookUrls` | array | Goodreads book URLs or IDs | | `listUrl` | string | Goodreads list URL to scrape | | `authorUrls` | array | Goodreads author page URLs | | `maxItems` | number | Maximum results (default: 100) | ### Output Examples #### Search Result / List Book ```json { "type": "book", "id": "5907", "title": "The Hobbit, or There and Back Again", "url": "https://www.goodreads.com/book/show/5907", "author": "J.R.R. Tolkien", "rating": 4.3, "ratingsCount": 4478627, "year": 1937, "coverUrl": "https://i.gr-assets.com/images/..." } ```` #### Book Detail ```json { "type": "book_detail", "title": "The Hobbit, or There and Back Again", "format": "Paperback", "pages": 366, "language": "English", "authors": [{ "name": "J.R.R. Tolkien", "url": "..." }], "rating": 4.3, "ratingsCount": 4478627, "reviewsCount": 88798, "awards": "Keith Barker Millennium Book Award (2000)..." } ``` #### Author Profile ```json { "type": "author", "name": "J.R.R. Tolkien", "avgRating": 4.38, "ratingsCount": 12518478, "reviewsCount": 268575, "born": "January 03, 1892", "died": "September 02, 1973", "genres": ["Fantasy", "Fiction", "Children's"], "followers": 78048 } ``` ### Use Cases - **Book Recommendation Engines** — Build personalized reading suggestions - **Market Research** — Analyze book trends, genres, and reader preferences - **Author Analysis** — Track author popularity and rating trends - **Content Creation** — Book review blogs, reading list newsletters - **Data Science** — Book rating analysis, genre classification datasets ### Cost Uses Pay Per Event pricing. Each scraped item counts as one result. # Actor input Schema ## `scrapeType` (type: `string`): Choose what to extract from Goodreads. ## `searchQuery` (type: `string`): Search term to find books on Goodreads. ## `bookUrls` (type: `array`): Goodreads book URLs or IDs (e.g., 5907 or https://www.goodreads.com/book/show/5907). ## `listUrl` (type: `string`): Goodreads list URL to scrape (e.g., https://www.goodreads.com/list/show/1.Best\_Books\_Ever). ## `authorUrls` (type: `array`): Goodreads author page URLs to scrape. ## `maxItems` (type: `integer`): Maximum number of books to scrape. ## Actor input object example ```json { "scrapeType": "search", "maxItems": 100 } ``` # 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 = { "scrapeType": "search", "maxItems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("fatihai-tools/goodreads-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 = { "scrapeType": "search", "maxItems": 100, } # Run the Actor and wait for it to finish run = client.actor("fatihai-tools/goodreads-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 '{ "scrapeType": "search", "maxItems": 100 }' | apify call fatihai-tools/goodreads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fatihai-tools/goodreads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Goodreads Scraper", "description": "Scrape Goodreads book data including ratings, reviews, author info, and genre classifications. Build book recommendation engines, analyze reading trends, and monitor publishing market.", "version": "1.0", "x-build-id": "H7bZBFWtDnuHfRjbM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fatihai-tools~goodreads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fatihai-tools-goodreads-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/fatihai-tools~goodreads-scraper/runs": { "post": { "operationId": "runs-sync-fatihai-tools-goodreads-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/fatihai-tools~goodreads-scraper/run-sync": { "post": { "operationId": "run-sync-fatihai-tools-goodreads-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": [ "scrapeType" ], "properties": { "scrapeType": { "title": "What to Scrape", "enum": [ "search", "book_details", "list", "author" ], "type": "string", "description": "Choose what to extract from Goodreads.", "default": "search" }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Search term to find books on Goodreads." }, "bookUrls": { "title": "Book URLs or IDs", "type": "array", "description": "Goodreads book URLs or IDs (e.g., 5907 or https://www.goodreads.com/book/show/5907).", "items": { "type": "string" } }, "listUrl": { "title": "List URL", "type": "string", "description": "Goodreads list URL to scrape (e.g., https://www.goodreads.com/list/show/1.Best_Books_Ever)." }, "authorUrls": { "title": "Author URLs", "type": "array", "description": "Goodreads author page URLs to scrape.", "items": { "type": "string" } }, "maxItems": { "title": "Maximum Results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of books to scrape.", "default": 100 } } }, "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 } } } } } } } } } } ```