What is the basic process of extracting data using Python?

The basic process of data scraping in Python generally includes the following steps:

1. Import the necessary libraries: typically, you will need to import either the urllib or requests library for sending HTTP requests, as well as the BeautifulSoup or lxml library for parsing HTML pages.
2. Send an HTTP request to retrieve the page source code: Use the urllib library or requests library to send a GET or POST request and obtain the HTML source code of the webpage.
3. Analyze HTML pages: use the BeautifulSoup library or lxml library to parse HTML pages and extract the necessary data.
4. Data processing and storage: processing and cleaning the extracted data, such as removing spaces, special characters, etc., and then storing the data in a local file or database.

It is important to consider the website’s anti-crawling measures when actually collecting data, such as setting request headers and using proxy IPs. Additionally, it is necessary to comply with relevant laws and regulations when collecting data and not violate the website’s terms of use.