How to Call a REST API in Python to Retrieve Data from a URL скачать в хорошем качестве

How to Call a REST API in Python to Retrieve Data from a URL

Learn how to effectively call a REST API in Python to get data using Python's requests library. Follow step-by-step instructions with example code. --- This video is based on the question https://stackoverflow.com/q/65265786/ asked by the user 'user294110' ( https://stackoverflow.com/u/10295972/ ) and on the answer https://stackoverflow.com/a/65317889/ provided by the user 'GordonAitchJay' ( https://stackoverflow.com/u/3589122/ ) 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: Python call rest api to get data from url 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. --- How to Call a REST API in Python to Retrieve Data from a URL Working with REST APIs can seem intimidating if you're transitioning from another programming language or environment, like Bash, to Python. In this guide, we'll take a closer look at how to effectively call a REST API using Python to retrieve data. We'll break down the steps required to get a sessionID and then use that to make a data request. The Problem You've created a Bash script that successfully logs into a REST API to retrieve data, but now you want to convert this functionality into Python code. You encounter some challenges including session management and dealing with HTTP headers. This guide will provide clarity and insight on how to resolve these issues. The Solution To call a REST API in Python and retrieve data, follow the steps outlined below. Step 1: Import Required Libraries First, you'll need to import the requests library, which simplifies making HTTP requests in Python. [[See Video to Reveal this Text or Code Snippet]] Step 2: Create a Session It's good practice to use a session when working with API requests because it lets you persist certain parameters across requests (like cookies or headers): [[See Video to Reveal this Text or Code Snippet]] Step 3: Send the Login Request Make a POST request to log in to the API, passing the necessary credentials and headers. Adjust the header values according to the API's requirements: [[See Video to Reveal this Text or Code Snippet]] Important Note: The verify=False argument is used for non-verified HTTPS requests. While convenient for testing, it's recommended to use proper SSL verification for production code. Step 4: Retrieve the sessionID Once the login is successful, the server will return a sessionID. Extract this from the response: [[See Video to Reveal this Text or Code Snippet]] Step 5: Make the Data Request Now, construct a GET request to retrieve the data you need by using the sessionID in the headers: [[See Video to Reveal this Text or Code Snippet]] Step 6: Handle the Response At this point, you can print the response or process it as needed: [[See Video to Reveal this Text or Code Snippet]] Common Issues and Troubleshooting Invalid Header Type: Make sure your header values are strings. API parameters should not include mismatched data types. SSL Verification Errors: If you're encountering SSL certificate verification issues, adding verify=False can help during initial testing, but you should resolve SSL issues before deploying your code. Response Codes: If you receive a response code of 415, check if the content type is correct or if the request format is expected by the API. Conclusion Transitioning from a Bash script to Python can open up more powerful data processing capabilities, especially with libraries like pandas for data manipulation. By following the steps outlined in this post, you can successfully call a REST API in Python to retrieve data effectively. As you move forward, always aim to handle exceptions, and consider security practices when dealing with credentials and sensitive data. Happy coding!