I can understand your frustration with trying to aggregate data from multiple online analysis platforms.
First, it's important to familiarize yourself with the documentation provided by each API. This will give you a better understanding of the available endpoints, parameters, and response formats. It's possible that some APIs may not provide the exact functionality you're looking for, so it's important to manage your expectations accordingly.
In terms of programming, you mentioned being a noob, but don't worry! There are plenty of resources available to help you get started. If you're not familiar with a programming language yet, Python is often recommended for beginners due to its simplicity and extensive library support. You can find tutorials and documentation online to help you learn the basics.
Once you have a programming language in mind, you can start implementing the API calls. Most APIs will require you to make HTTP requests, so you'll need to learn how to handle those in your chosen language. Libraries like `requests` in Python can simplify this process.
For each API, you'll need to make the appropriate request to retrieve the data you need. This may involve providing parameters such as file hashes, submission IDs, or other identifiers. Once you receive the response, you can extract the relevant information and store it in a format that suits your needs, such as a CSV or JSON file.
Remember to handle rate limits and any authentication requirements imposed by the APIs. Some APIs may require an API key or token, which you'll need to obtain and include in your requests.
If you encounter specific issues or errors while working with the APIs, it can be helpful to consult their documentation, forums, or even reach out to their support teams for assistance.
Overall, while it may require some effort and learning, it's definitely possible to aggregate data from multiple APIs. Good luck with your project!
