# BooktoScrape.com (`yugeshweb/booktoscrape-com`) Actor This scraper extracts book information from books.toscrape.com, automatically crawling all pages and saving titles, prices, availability, and URLs to the Apify Dataset. Built with Apify SDK and PuppeteerCrawler for reliable cloud and local execution. - **URL**: https://apify.com/yugeshweb/booktoscrape-com.md - **Developed by:** [Yugesh](https://apify.com/yugeshweb) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 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 Books.toscrape.com Scraper (Apify Actor) This actor scrapes product data from https://books.toscrape.com, a public demo website designed for web-scraping practice. It extracts book title, price, availability, and product URL, and stores the results directly into the Apify Dataset. This scraper is built using the Apify SDK, PuppeteerCrawler, Cheerio, and Axios, and is optimized to run in the Apify cloud environment. -------------------------------------------------------------------------------- Features -------------------------------------------------------------------------------- - Scrapes all paginated listing pages from books.toscrape.com - Extracts: - Title - Price - Availability text - URL of the product page - Streams results directly into Apify Dataset - Automatically discovers and crawls next pages - Works on both local environment and Apify cloud - Uses Apify.main() for proper actor lifecycle handling -------------------------------------------------------------------------------- Project Structure -------------------------------------------------------------------------------- scraper.js - Main actor script package.json - Dependencies and start command actor.json - Actor metadata for Apify platform README.txt - Documentation (this file) -------------------------------------------------------------------------------- Local Setup -------------------------------------------------------------------------------- 1. Install dependencies: npm install 2. Start the scraper: node scraper.js 3. Output will be written to the local Apify dataset folder: apify_storage/datasets/default/ -------------------------------------------------------------------------------- Running on Apify Cloud -------------------------------------------------------------------------------- 1. Upload or push this project to your Apify actor. 2. Build the actor. 3. Run the actor. 4. After completion, open the Dataset tab to download results as: JSON, JSONL, CSV, Excel, or XML. -------------------------------------------------------------------------------- How the Scraper Works -------------------------------------------------------------------------------- 1. Starts at page: https://books.toscrape.com/catalogue/page-1.html 2. Parses each product block using Cheerio. 3. Pushes each record to the Apify Dataset using: Apify.pushData({ title, price, availability, url }); 4. Detects and enqueues pagination links. 5. Continues until no more pages exist. -------------------------------------------------------------------------------- Output Example -------------------------------------------------------------------------------- { "title": "A Light in the Attic", "price": "£51.77", "availability": "In stock", "url": "https://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html" } -------------------------------------------------------------------------------- Technologies Used -------------------------------------------------------------------------------- - Node.js - Apify SDK - PuppeteerCrawler - Axios - Cheerio -------------------------------------------------------------------------------- Configuration Notes -------------------------------------------------------------------------------- - Adjust concurrency in scraper.js: maxConcurrency: 5 - Increasing this value speeds up crawling but increases load. - A CheerioCrawler version can also be created if required. -------------------------------------------------------------------------------- Troubleshooting -------------------------------------------------------------------------------- - Empty dataset: Parsing may have failed. Check logs. - "Module not found" on Apify: Add missing dependencies to package.json. - Actor finishes too quickly: Pagination may not be detected. # Actor input Schema ## `start_urls` (type: `array`): URLs to start with ## Actor input object example ```json { "start_urls": [ { "url": "https://apify.com" } ] } ```` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "start_urls": [ { "url": "https://apify.com" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("yugeshweb/booktoscrape-com").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 = { "start_urls": [{ "url": "https://apify.com" }] } # Run the Actor and wait for it to finish run = client.actor("yugeshweb/booktoscrape-com").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 '{ "start_urls": [ { "url": "https://apify.com" } ] }' | apify call yugeshweb/booktoscrape-com --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=yugeshweb/booktoscrape-com", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "BooktoScrape.com", "description": "This scraper extracts book information from books.toscrape.com, automatically crawling all pages and saving titles, prices, availability, and URLs to the Apify Dataset. Built with Apify SDK and PuppeteerCrawler for reliable cloud and local execution.", "version": "0.0", "x-build-id": "ISOJDaJ85ZEuPDX5M" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/yugeshweb~booktoscrape-com/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-yugeshweb-booktoscrape-com", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/yugeshweb~booktoscrape-com/runs": { "post": { "operationId": "runs-sync-yugeshweb-booktoscrape-com", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/yugeshweb~booktoscrape-com/run-sync": { "post": { "operationId": "run-sync-yugeshweb-booktoscrape-com", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "start_urls" ], "properties": { "start_urls": { "title": "Start URLs", "type": "array", "description": "URLs to start with", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```