What is the operational process of the Python web crawl…

The operational process of the Scrapy framework is as follows:

1. Create a Scrapy project: Use command line tools to create a new Scrapy project, including setting up the project file structure and default files.
2. Definition of Item: Define the data model to be scraped, usually a Python class, and create an items.py file in the project.
3. Write a Spider: Create a Spider class to define how to crawl a specific website, and create a Python file in the project’s spiders directory.
4. Write Pipeline: Create a Pipeline class to handle the crawled data and create a Python file in the project’s pipelines directory.
5. Configure Settings: Customize project settings as needed, such as setting request headers and adjusting the crawler’s delay.
6. Start the spider: Use the command-line tool to launch the spider, Scrapy will automatically call the Spider to crawl the website and pass the crawled data to the Pipeline for processing.
7. Data scraping: Scrapy follows the definitions in the Spider, sending requests, receiving responses, parsing the responses, extracting data, packaging the data as Item objects, and passing Item objects to the Pipeline for processing.
8. Data processing: The Pipeline processes incoming Item objects to perform operations such as data cleaning, deduplication, and storage.
9. Store data: Pipeline saves processed data to a specified location, which can be a database, file, API, etc.
10. Finish crawling: The spider will automatically stop running when all requests are processed.