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Swiggy API Rate Limits and Blocking: Practical Workarounds

When the Swiggy API rate-limits or blocks you, here are the practical workarounds that keep your React project moving.

Swiggy API Rate Limits and Blocking: Practical Workarounds

Free and dummy APIs like the Swiggy one often rate-limit or block repeated requests. Here are practical workarounds that keep your React project moving.

Cache Responses

Store fetched responses in state or a simple cache so you do not re-request the same data. This is the single most effective way to reduce requests.

Avoid Fetching on Every Render

Do not fetch inside the render body or without a dependency array. Fetch on mount or when a specific value changes, never on every render.

Debounce Search Requests

If you fetch on every keystroke, you will hit rate limits fast. Debounce search input so a request only fires after the user stops typing.

Use Mock Data as a Fallback

When the API blocks you, fall back to mock data so your work is not blocked. Switch back when the limit resets.

Reduce the Number of Endpoints Called

Do not call multiple endpoints when one will do. Combine data needs and minimize requests per screen.

Respect 429 Responses

When you get a 429, stop calling the API for a while. Continuing to hammer it can lead to longer blocks.

The Takeaway

Rate limits are about request frequency. Cache, avoid render-time fetches, debounce search, use mock fallbacks, minimize endpoints, and respect 429s. These keep you under the limit.

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.

Fall back to mock data so your work is not blocked, and stop calling the API for a while. Continuing to hammer a blocked endpoint can lead to longer blocks. Switch back when the limit resets.

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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