Скачать или смотреть How to Automatically Query a Website with Dynamic URLs in Python

Discover how to automatically change part of a URL and query a website multiple times using Python—perfect for data collection tasks!
---
This video is based on the question https://stackoverflow.com/q/73276190/ asked by the user 'JNC4' ( https://stackoverflow.com/u/19716781/ ) and on the answer https://stackoverflow.com/a/73276257/ provided by the user 'Daweo' ( https://stackoverflow.com/u/10785975/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How do I automatically change a part of a url to query a website a set number of times in python?

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
Automating URL Queries in Python: A Simple Guide

If you're diving into web scraping or API interactions with Python, you might find yourself needing to make multiple requests to a website, changing parts of the URL each time. This can seem daunting, especially if you're just starting out. Don't worry! In this guide, we'll explore how to automatically change a part of a URL to query a website a set number of times using simple Python code.

Understanding the Requirement

Imagine you need to query a financial data API, like Alpha Vantage, which requires a URL that looks something like this:

[[See Video to Reveal this Text or Code Snippet]]

You want to replace the (symbol) portion of the URL with various stock symbols (like MMM, AOS, ABT, etc.) and perform 500 queries using a list of these symbols. Here’s how we can do it efficiently in Python.

Solution Overview

To solve this problem, we will use a for loop to iterate through a list of symbols. During each iteration, we will dynamically create the URL by inserting the current symbol into the URL string. Let's break down the steps:

Import Required Libraries: We will need the requests library to make HTTP requests.

Create a List of Symbols: This is where we define the list of stock symbols we wish to query.

Loop through Symbols: We'll iterate through each symbol, generate the URL, and make the API request.

Handle Data: After getting the response, we can do whatever we want with the data (like storing it or uploading it to Google Sheets).

Step-by-Step Implementation

Step 1: Import the Requests Library

Before you start coding, ensure you have the requests library installed:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Create Your List of Symbols

You would typically have a list of symbols for your queries. For demonstration, here's a small example:

[[See Video to Reveal this Text or Code Snippet]]

Step 3: Loop Through the Symbols

Now, we’ll use a loop to create a URL for each symbol and make the requests:

[[See Video to Reveal this Text or Code Snippet]]

Step 4: Using Requests Parameter

An even cleaner approach would be to utilize the params argument in the requests.get() function. This automatically handles the URL encoding for you:

[[See Video to Reveal this Text or Code Snippet]]

This method is particularly useful as it keeps your URL cleaner and makes your code easier to read.

Conclusion

By using a simple loop and dynamic URL generation, you can efficiently query a website multiple times in Python. Whether you're extracting financial data or any other information, this approach saves time and minimizes errors. Just remember to manage your requests responsibly to avoid overwhelming the server! Happy coding!