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Learn how to easily read a list of URLs from a text file and save all the responses into one text file using Python. Streamline your data collection process with this simple guide!
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How to Read URLs from a Text File and Collect Responses in Python

If you've ever needed to collect responses from multiple web pages without pasting each URL manually into your script, you're not alone. Many developers face the challenge of efficiently handling a batch of URLs. In this guide, we'll explore how to read a list of URLs from a text file and save all the responses into one text file using Python.

The Problem

Imagine you have a text file containing several URLs, like so:

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

Your task is to automate the process of sending requests to these URLs and saving the responses into another file. Let's break down how you can achieve this.

The Solution

We can use Python, one of the most popular programming languages for handling web data, along with the requests library, to accomplish our task. Here's how you can set up your script.

Step 1: Setting Up Your Environment

Make sure you have the requests library installed. If you don't have it yet, you can install it using pip:

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

Step 2: Writing the Script

Below is a streamlined version of the script that reads URLs from a text file (Wiki.txt) and saves the HTTP responses to another text file (outputs.txt).

The Code

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

Step 3: Understanding the Code

File Handling: We open the Wiki.txt file in read mode and outputs.txt in append mode.

Looping Through URLs: We read each line from the Wiki.txt, which contains individual URLs.

Sending Requests: For each URL, we send a POST request using requests.request().

Saving Responses: The response from each request is written to the outputs.txt file.

Closing Files: It’s essential to close both files to ensure all data is written and resources are freed.

Step 4: Run Your Script

Run your script in the Python environment, and watch as it processes each URL quickly. After execution, you will have a text file containing all the responses from the URLs listed in your original text file.

Conclusion

By following this simple guide, you can efficiently read a list of URLs from a text file and save the responses into another file using Python. This approach not only saves time but also helps in handling large batches of URLs seamlessly. Embrace automation and make your data collection process more efficient!

Happy coding!