Identify the data source:
First, you need to determine which platforms or service providers provide data on the goods you are interested in. For example, e-commerce platforms, brands, market research companies, etc.
Understand the API documentation:
Visit the provider's developer portal to read the API documentation. The documentation will detail how to use the API, including the request URL, required parameters, authentication methods, request limitations, and more.
Registering and obtaining API keys:
Typically, using an API requires registering for an account and obtaining an API key (API Key). This key is used as part of the authentication for each request.
Write the request code:
Using a suitable programming language (e.g. Python, JavaScript, etc.), write code to construct the API request. This includes setting up the HTTP request method (GET, POST, etc.), adding the necessary parameters, setting up the request headers (e.g., the API key), and so on.
Process response data:
After sending a request, the API returns data, usually in JSON or XML format. Your code needs to parse this data to extract the information you want about the item.
Data filtering and processing:
Filter and process the acquired data according to requirements, such as filtering for specific brands, price ranges, user reviews, etc.
Comply with the terms of use:
When using an API to obtain data, make sure you comply with the API provider's terms of use, including the scope of use of the data, limitations on the frequency of requests, etc.
Data storage and analysis:
The acquired data is stored in a database or file for further analysis and processing as needed.
Here's a simplified example showing how to use the Python language to get commodity data via an API: