How does caching help with API rate limits?
It reduces the number of requests you make. By storing already-fetched responses and reusing them instead of re-requesting, you stay well under the rate limit and your app feels faster.
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More FAQs in Swiggy API Rate Limits and Blocking: Practical Workarounds
Cache responses so you do not re-request the same data, avoid fetching on every render, debounce search input, minimize the endpoints you call, and respect 429 responses by pausing when you get them.
Because you are calling it too often. A 429 means too many requests. Cache responses, reduce call frequency, and stop calling for a while when you get one, so you do not trigger a longer block.
No. Fetching on every keystroke hits rate limits fast. Debounce search input so a request only fires after the user stops typing for a short period.
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