Use the Python Portia class library for automated network crawling

Use the Python Portia class library for automated network crawling Python Portia class library is an open source network crawler framework that automatically extracts structured data from the webpage.It is supported by the SCRAPY framework, which can help users define data extraction rules based on the structure of the webpage and automatically perform the crawling task. The following is the basic step of using the Python Portia class library for automated network crawling: Step 1: Install SCRAPY and Portia First, make sure that Python and PIP have been installed.Then, run the following commands in the command line to install scrapy and portia: pip install scrapy pip install scrapely Step 2: Create the Portia project Use the following command to create a Portia project: portia project_name This will create a folder called "Project_name" in the current directory, which contains all the necessary files of the Portia project. Step 3: Configure the climbing website In the "Spider" folder in the project folder, a file called "__init__.py" and a file called "Project_name_spider.py".In the "Project_name_spider.py" file, the relevant configuration of the crawling task can be defined, such as the beginning of the URL, the allowable domain name, etc. Step 4: Define the crawling rules In the "Extractors" folder in the project folder, you can find a file called "Spiders.json".In this file, you can define the climbing rules, that is, how to extract data from the webpage. Using the Portia user interface, the required data can be defined as a selector or extractor, and the relevant selection expression and field name are specified.The selector is used to select the data area that needs to be extracted, and the extractor is used to extract data. Step 5: Execute the crawling task In the command line, switch to the project folder and run the following commands to perform the crawling task: portia crawl spider_name This will begin to perform crawling tasks called "Spider_name" and start climbing web pages from the specified start of the URL.The climbing data will be extracted and saved according to the previously defined climbing rules. The above is the basic step of using the Python Portia class library to crawl automated networks.By configured climbing websites and definition of crawling rules, you can easily extract structured data from the webpage.This automated network crawling method can help users quickly obtain the required information and save a lot of time and energy.