1. Implement pagination: This involves breaking up the results of the API into smaller chunks or pages and requesting one page at a time. This can help reduce the amount of data transmitted with each request and make it more manageable.
2. Use filtering and sorting: Many APIs allow you to specify parameters to filter and sort the results of your request. This can help reduce the amount of data returned and make it easier to work with.
3. Use caching: Caching the results of API requests can help reduce the number of requests made to the API and improve the performance of your application. You can use a cache like Redis or Memcached to store the results of API requests and serve them from the cache instead of making a new request to the API every time.
4. Use a backend server: If you are making a large number of requests to an API from a client-side application (e.g. a web or mobile app), you may want to consider using a backend server to make the API requests on behalf of the client. This can help reduce the load on the client and make it easier to manage the API requests.
5. Use asynchronous processing: If you are making a large number of requests to an API and need to process the results, you may want to consider using asynchronous processing to avoid blocking the main thread of your application. This can be done using a library like asyncio in Python or using a message queue like RabbitMQ
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