Scrapy Books Example
by vdusek
A ready-to-run Scrapy project that scrapes book data from books.toscrape.com. Perfect as a learning template or a boilerplate for your own Python web scraping tasks.
Opens on Apify.com
About Scrapy Books Example
Need a clean, working example of a Scrapy spider to learn from or build upon? This is it. I built this actor to scrape book data from the classic practice site, books.toscrape.com. It's a fully functional Python Scrapy project that's ready to run, giving you a practical template for your own web scraping tasks. You'll see how to handle pagination, extract titles, prices, ratings, and stock status—all the fundamentals. It's perfect if you're new to Scrapy and want a real project to dissect, or if you're an experienced developer looking for a reliable boilerplate to save time. I use this codebase myself when I need a quick reference for structuring a simple, efficient spider. Just deploy it and you've got a proven scraper that works, plus all the code to study and modify for your specific targets.
What does this actor do?
Scrapy Books Example is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Scrapy Books Example
A Python Scrapy project example that scrapes book data from books.toscrape.com. It's designed to run both as a standard Scrapy project locally and as a deployable Apify Actor.
Overview
This actor demonstrates how to integrate a Scrapy web scraper with the Apify platform. It crawls the books.toscrape.com website, extracting details like titles, prices, and ratings, and outputs the data in a structured format.
Key Features
- Scrapy Integration: Built as a standard Scrapy project (
book_spider), making it familiar for Python developers. - Dual Execution: Can be run locally as a Scrapy project or as an Apify Actor.
- Apify Platform Ready: Easily deployable to the Apify cloud for scheduling, scaling, and integration.
- Example Dataset: Scrapes book titles, prices, availability, and ratings from a dedicated testing site.
How to Use
Prerequisites
- Apify CLI: Install from Apify CLI docs.
- Python & uv: Ensure Python is installed. Then install the
uvpackage manager:
bash pip install uv
Running Locally
- Install dependencies and activate the virtual environment:
bash make install-dev source .venv/bin/activate - Run as a Scrapy project:
bash scrapy crawl book_spider -o books.json - Run as an Apify Actor locally:
bash apify run --purge
Deploying to Apify
- Log in with your Apify API Token:
bash apify login - Deploy the actor to the Apify Platform:
bash apify push
The actor will appear under Actors -> My Actors.
Input/Output
- Input: This example actor does not require specific input parameters. It is configured to start scraping from the books.toscrape.com homepage.
- Output: The actor outputs a dataset containing a list of book objects. Each object typically includes fields such as
title,price,availability,rating, and the producturl. The default storage is a dataset on the Apify platform or a local JSON file when run with Scrapy directly.
Documentation Reference
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Scrapy Books Example now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- vdusek
- Pricing
- Paid
- Total Runs
- 742
- Active Users
- 19
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