In this case, it is my web browser (Chrome) on macOS. User-Agent: This contains information about the client originating the request, including the OS.This header is particularly important for name-based virtual hosting, which is the standard in today's hosting world. Host: This header indicates the hostname for which you are sending the request.Here are the most important header fields : Here is an exhaustive list of HTTP headers Multiple headers fields: Connection, User-Agent.In this tutorial, we will focus on HTTP 1. In the case here, the directory product right beneath the root directory. The path of the file, directory, or object we would like to interact with.for uploading data), and a full list is available here. There are quite a few other HTTP methods available as (e.g. In our case GET, indicating that we would like to fetch data. In the first line of this request, you can see the following: User-Agent: Mozilla/5.0 (Macintosh Intel Mac OS X 12_3_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/1.127 Safari/537.36 FTP, for example, is stateful because it maintains the connection.īasically, when you type a website address in your browser, the HTTP request looks like this: GET /product/ HTTP/1.1Īccept: text/html,application/xhtml+xml,application/xml q=0.9,image/webp,*/* q=0.8 HTTP is called a stateless protocol because each transaction (request/response) is independent. Then the server answers with a response (the HTML code for example) and closes the connection. An HTTP client (a browser, your Python program, cURL, libraries such as Requests.) opens a connection and sends a message (“I want to see that page : /product”) to an HTTP server (Nginx, Apache.). HyperText Transfer Protocol (HTTP) uses a client/server model. The goal of this article is not to go into excruciating detail on every single of those aspects, but to provide you with the most important parts for extracting data from the web with Python. The Internet is complex: there are many underlying technologies and concepts involved to view a simple web page in your browser. Note: When I talk about Python in this blog post, you should assume that I talk about Python3. Of course, we won't be able to cover every aspect of every tool we discuss, but this post should give you a good idea of what each tool does and when to use one. We will go from the basic to advanced ones, covering the pros and cons of each. In this post, which can be read as a follow-up to our guide about web scraping without getting blocked, we will cover almost all of the tools to do web scraping in Python.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |