Python Portia class library: complete guide from entry to mastery

Python Portia class library: complete guide from entry to mastery 1. Install Portia Library First, you need to install the Portia class library in the Python environment.Use the following command to install through PIP: python pip install scrapy-portia 2. Create a new project Use the following command to create a new Portia project: python portiacrawl myproject In this example, the project name is "MyProject".You can choose the appropriate project name according to your needs. 3. Start extraction data The Portia class library provides a user -friendly web interface. You can use this interface to configure your crawler and define data extraction rules. a. Start the portia web interface: python cd myproject portia b. Use your favorite web browser to visit http: // localhost: 9001 to enter the web interface of Portia. c. In the Portia interface, click the "Start A New Project" button on the left and enter the URL you want to crawl. d. On the "Create A New Spider" page, enter the name of the reptile and select a suitable template. e. On the "Extract Data" page, select the data in the webpage with the mouse, and then select a suitable extraction method (such as the CSS selector or XPath). f. Continue to add rules to extract more data and configure according to needs. 4. Run reptile After creating and configuration reptiles, you can use the following command to run the crawler: python cd myproject scrapy crawl <spider_name> Replace "<SPIDER_NAME>" with the reptile name you defined in the previous step. 5. Get the extraction data After running the reptile, the extracted data will be stored in the "Data" folder of the project.You can use other Python code to process and analyze these data. The above is the complete guide to extract the web data extraction using the Python Portia class library.By following these steps, you will be able to easily start using Portia and extract the required structured data from the webpage.