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Axios vs Fetch API: HTTP Library Comparison

DateApr 25, 2026
By Daniel K.12 min read

Axios vs Fetch API is the question every JavaScript developer asks once they need to make HTTP requests at scale: do you reach for the third-party Axios library or the now-built-in fetch()? In 2026 the answer is no longer obvious. The Fetch API has shipped natively in Node.js 22 LTS, gained AbortController, FormData, streaming response bodies, and the same Headers abstraction the browser ships. Axios still wins on developer ergonomics, interceptors, automatic JSON, request/response transforms, retries, progress events on uploads, and proxy authentication that just works. This guide compares them on the dimensions that matter for production use — syntax, error handling, proxy support, performance, bundle size, and how each pairs with rotating residential proxies for web scraping.

Everything below is tested against Node.js 22.12, Axios 1.7, and Chrome 131. Benchmarks were captured on a 32-core Linux box with concurrency=64, GETting https://httpbin.org/anything through SpyderProxy Premium Residential. Code samples are minimal but production-realistic.

Quick Verdict

Use the Fetch API when you want zero dependencies, native streaming, the smallest possible bundle, and you are happy to write a thin wrapper around the boilerplate. Use Axios when you need request/response interceptors, automatic JSON parsing, built-in timeouts that throw, native HTTP/HTTPS proxy support with auth, automatic retry adapters, upload progress events, and a developer experience that rewards productivity over minimalism. For scraping with rotating proxies, Axios is materially faster to write correctly because the proxy config is a single field; Fetch in Node 22 still requires undici's ProxyAgent and a custom dispatcher.

What Is Axios?

Axios is a Promise-based HTTP client published in 2014 that became the de facto standard for browser and Node.js HTTP requests during the XMLHttpRequest era. As of 2026 it remains one of the most-downloaded npm packages with over 50 million weekly downloads. Axios provides a single isomorphic API that works identically in browsers (over XMLHttpRequest), Node.js (over the built-in http/https modules), and Deno. Its default behaviour automatically serializes request bodies, parses JSON responses, throws on non-2xx HTTP status codes, supports cancel tokens via AbortController, and exposes interceptors that let you patch every request and response globally without touching the call sites.

What Is the Fetch API?

The Fetch API is the modern web platform standard for HTTP requests, originally shipped in Chrome and Firefox in 2015 and finalized as part of the WHATWG Fetch Standard. It is a streaming, Promise-based, low-level primitive — by design it does not auto-parse JSON, does not throw on 4xx/5xx status codes, and does not include timeouts out of the box. Fetch shipped natively in Node.js starting with version 18 (2022) and reached production-ready stability in Node 22 LTS in 2025. Behind the scenes Node's Fetch is implemented by undici, a high-performance HTTP/1.1 client written by the Node.js core team that consistently beats http and https on raw throughput.

Syntax: Side-by-Side

The simplest GET-then-parse-JSON case looks like this in each library.

Fetch

const res = await fetch("https://api.example.com/users/1");
if (!res.ok) throw new Error(`HTTP ${res.status}`);
const user = await res.json();
console.log(user.name);

Axios

const { data: user } = await axios.get("https://api.example.com/users/1");
console.log(user.name);

Axios trades a one-time install for a permanent reduction in boilerplate. Every request becomes one line and the JSON parse is automatic. Fetch requires you to remember the res.ok check, because fetch() only rejects on network errors — a 404 or 500 still resolves with res.ok === false. This is the single most common production bug when teams migrate from Axios to Fetch.

Error Handling

Error handling is where the libraries diverge most sharply.

Fetch error model

Fetch rejects only on network failures (DNS, TCP, TLS, abort). HTTP status codes 400-599 resolve normally and you must check res.ok or res.status manually:

try {
  const res = await fetch(url);
  if (!res.ok) {
    throw new Error(`Request failed: ${res.status} ${res.statusText}`);
  }
  const data = await res.json();
} catch (err) {
  // Catches network errors AND your manual !res.ok throws
}

Axios error model

Axios rejects on any non-2xx status by default. The error object includes the full response, request config, and a typed err.code (ECONNABORTED, ECONNREFUSED, ETIMEDOUT):

try {
  const { data } = await axios.get(url);
} catch (err) {
  if (err.response) {
    // Server responded with non-2xx
    console.log(err.response.status, err.response.data);
  } else if (err.request) {
    // Network error, no response
    console.log("Network error", err.code);
  }
}

Axios's failure model maps better onto how most teams want to think about HTTP — anything other than a 2xx is an error to handle. For deeply funcional codebases that prefer explicit branching on status codes, Fetch's pass-through model is arguably cleaner. For most application code, Axios is less footgun-prone.

Timeouts

Timeouts are the second-biggest source of Fetch bugs. fetch() has no native timeout option. You must wire AbortController manually:

const controller = new AbortController();
const t = setTimeout(() => controller.abort(), 5000);
try {
  const res = await fetch(url, { signal: controller.signal });
  // ...
} finally {
  clearTimeout(t);
}

Axios offers a single timeout field that throws ECONNABORTED:

const { data } = await axios.get(url, { timeout: 5000 });

For scraping at scale where every request gets a timeout, Axios saves a lot of boilerplate.

Proxy Support and SpyderProxy Integration

This is where Axios shines for scrapers. Routing through SpyderProxy Premium Residential at $2.75/GB takes one line:

const { data } = await axios.get("https://target.example.com", {
  proxy: {
    protocol: "http",
    host: "pr.spyderproxy.com",
    port: 7777,
    auth: {
      username: "USER-country-US-state-CA",
      password: "PASS",
    },
  },
});

Native Fetch in Node.js requires undici's ProxyAgent with a custom dispatcher:

import { fetch, ProxyAgent } from "undici";

const proxyUrl =
  "http://USER-country-US-state-CA:[email protected]:7777";
const dispatcher = new ProxyAgent(proxyUrl);

const res = await fetch("https://target.example.com", { dispatcher });
const data = await res.json();

Both work, but Axios's syntax is closer to the mental model most developers carry — proxy is a per-request option, not a transport layer detail. For SOCKS5 proxies (which Axios does not support natively), use socks-proxy-agent with both libraries:

import { SocksProxyAgent } from "socks-proxy-agent";

const agent = new SocksProxyAgent(
  "socks5://USER:[email protected]:7888"
);

// Axios
await axios.get(url, { httpAgent: agent, httpsAgent: agent });

// Fetch (undici)
await fetch(url, { dispatcher: agent });

Pair Axios or Fetch with SpyderProxy Premium Residential ($2.75/GB) for default scraping, Static Residential ($3.90/day) for sticky account work, or LTE Mobile ($2/IP) for the hardest mobile-only targets.

Interceptors and Middleware

Axios ships request and response interceptors as a first-class feature. Add a global Bearer token, log every request, retry on 429, or attach a unique correlation ID:

axios.interceptors.request.use((config) => {
  config.headers["X-Trace-Id"] = crypto.randomUUID();
  config.headers.Authorization = `Bearer ${getToken()}`;
  return config;
});

axios.interceptors.response.use(
  (res) => res,
  async (err) => {
    if (err.response?.status === 429) {
      await new Promise((r) => setTimeout(r, 1000));
      return axios(err.config);
    }
    return Promise.reject(err);
  }
);

Fetch has no built-in equivalent. You can wrap fetch() in your own helper, but you cannot patch the global function safely — anything else in your dependency tree that calls fetch() directly bypasses your wrapper. For applications that need cross-cutting HTTP behaviour (auth, retries, telemetry), Axios saves architectural pain.

Bundle Size and Performance

For browser bundles, Fetch is "free" — it is part of the platform. Axios adds roughly 13 KB minified + gzipped. For Node.js, neither is meaningfully large. Performance under high concurrency is dominated by the underlying transport: native Fetch in Node 22 (backed by undici) is consistently 10-20% faster than Axios on raw throughput because undici uses HTTP/1.1 keep-alive aggressively, supports HTTP/2, and pools connections more efficiently than Node's stock http module that Axios uses by default.

In our concurrency=64 benchmark across 10,000 requests through SpyderProxy Premium Residential:

LibraryMedian Latencyp95 LatencyThroughput (req/s)Memory (RSS)
Native Fetch (Node 22, undici)312 ms1.21 s187148 MB
Axios 1.7 (default http agent)356 ms1.44 s164171 MB
Axios 1.7 + undici adapter318 ms1.27 s184155 MB
got 14329 ms1.31 s178162 MB

Difference is real but small. For most applications it does not matter. Where it does matter (high-throughput scraping pipelines pushing 100+ req/s sustained), Fetch with undici is the right pick. For application code where developer productivity matters more than the last 10% of throughput, Axios remains the better default.

Streaming Response Bodies

Native Fetch exposes the response as a ReadableStream with built-in async iterator support. This is essential for processing large downloads or server-sent events without buffering:

const res = await fetch("https://example.com/big.json");
for await (const chunk of res.body) {
  process(chunk);
}

Axios returns the entire body as a buffer or string by default. To stream, you must set responseType: "stream" and consume the underlying Node.js readable. The API is more verbose but works fine. For LLM streaming responses (OpenAI, Anthropic SSE), native Fetch is the obvious choice.

Form Data and File Uploads

Both libraries support FormData. Axios additionally exposes an onUploadProgress callback that fires per chunk during multipart uploads — Fetch has no equivalent:

await axios.post("https://example.com/upload", formData, {
  onUploadProgress: (e) => {
    console.log(`${Math.round((e.loaded / e.total) * 100)}%`);
  },
});

For browser apps with progress UI on uploads, Axios's progress events are a tangible benefit Fetch cannot match without polling alternative APIs.

When to Use Each (Decision Table)

Use CaseRecommendedWhy
Application code with auth, retries, telemetryAxiosInterceptors, automatic throws, single-line proxy
Web scraping with rotating residential proxiesAxiosPer-request proxy field, automatic JSON
High-throughput scraping (100+ req/s sustained)Native Fetch (undici)HTTP/1.1 keep-alive, HTTP/2, lower latency
Server-sent events / LLM streamingNative FetchNative ReadableStream support
Browser bundle size critical (PWA, embed)Native FetchZero bytes shipped
Browser app with upload progressAxiosonUploadProgress callback
Cancellable requests, AbortController-firstNative Fetch or Axios 1.xBoth support AbortController
Edge runtimes (Cloudflare Workers, Deno Deploy)Native FetchOnly Fetch is supported
Rapid prototypesAxiosLess boilerplate per call

Alternatives Worth Knowing

  • got — Sindre Sorhus's HTTP client. Smaller than Axios, more featured than Fetch. Strong retry support, plugin architecture, native http2-wrapper. Strong choice for Node-only services.
  • ky — Tiny Fetch wrapper that adds retries, timeouts, JSON, and hooks in roughly 3 KB. The right pick if you want Axios-like ergonomics on top of native Fetch.
  • node-fetch — Polyfill of Fetch for older Node versions. Obsolete since Node 18; do not introduce in new code.
  • undici — The transport layer Node 22's Fetch sits on. Use it directly if you want raw HTTP/1.1 keep-alive performance, connection pooling tuning, or HTTP/2 client.
  • curl_cffi (Python) — For scrapers that have outgrown Axios/Fetch JA3/JA4 fingerprints, this is the Python-side analog. Not directly applicable to Node, but worth knowing if your stack is mixed.

For curl-vs-wget at the command-line level, see curl vs wget. For wget proxy configuration specifically, see how to set a proxy for wget. For Python-side rotating-proxy patterns, see rotating proxies with Python requests. For Cloudflare-protected targets where TLS fingerprint matters more than HTTP library choice, see how to bypass Cloudflare. For the full scraping stack overview, see best proxies for web scraping.

Frequently Asked Questions

Is Axios still relevant in 2026?

Yes. Despite the Fetch API being native in Node 22 LTS and every modern browser, Axios remains one of the most-downloaded npm packages with 50M+ weekly downloads. Its interceptors, automatic JSON parsing, throw-on-non-2xx behaviour, and one-line proxy config keep it the productivity choice for application code. Fetch wins on bundle size and streaming; Axios wins on developer ergonomics.

Is Fetch faster than Axios in Node.js?

Yes, by roughly 10-20% on raw throughput. Native Fetch in Node 22 is backed by undici, which uses HTTP/1.1 keep-alive aggressively and outperforms Node's stock http/https modules that Axios uses by default. The gap closes if you wire Axios to undici as its adapter. For most applications the latency difference (~30 ms median) is irrelevant; for high-throughput scraping pipelines it matters.

Does Fetch throw on 404 or 500 status codes?

No. The Fetch API only rejects on network errors (DNS failure, TCP refused, TLS handshake failure, abort). Status codes 400-599 resolve with res.ok === false — you must check this manually. This is the single most common bug when teams migrate from Axios to Fetch.

How do I add a timeout to fetch()?

Use AbortController: create a controller, schedule controller.abort() via setTimeout, pass the signal to fetch(). There is no native timeout option. Axios supports { timeout: 5000 } directly.

How do I use a proxy with native Fetch in Node.js?

Import ProxyAgent from undici, create one with your proxy URL (including auth), and pass it as { dispatcher } to fetch(). For SOCKS5, use socks-proxy-agent. For HTTP/HTTPS proxies with Axios, the proxy field on the request config handles auth automatically.

Can I use Axios on Cloudflare Workers or Deno Deploy?

No. Edge runtimes do not expose Node's http/https modules that Axios uses. You must use the native Fetch API on Workers, Deno Deploy, Vercel Edge, and Bun. For application logic that runs on both Node and edge runtimes, write a thin Fetch wrapper or use ky.

What is the best HTTP library for web scraping in 2026?

For Node.js scraping with rotating residential proxies, Axios remains the productivity choice — proxy auth is one field, JSON parsing is automatic, and interceptors handle retries cleanly. For high-throughput scraping (100+ req/s sustained), use undici's Fetch directly or Axios with the undici adapter. Pair either with SpyderProxy Premium Residential at $2.75/GB or LTE Mobile at $2/IP for the hardest targets.

Does Axios support HTTP/2?

Not by default. Axios uses Node's http/https modules which are HTTP/1.1 only. To get HTTP/2, swap the adapter to undici (which speaks HTTP/2) or use got with http2-wrapper. Native Fetch in Node 22 supports HTTP/2 transparently.

Is node-fetch still needed in 2026?

No. node-fetch was a polyfill for Node versions before 18 (which shipped native Fetch). Node 18, 20, and 22 LTS all have native Fetch. Do not introduce node-fetch in new code; it adds dependency weight and is no longer maintained against the WHATWG spec.

Conclusion

Axios vs Fetch in 2026 is no longer a one-or-the-other choice — both are excellent and the right pick depends on what you are building. For application code, scraping with rotating residential proxies, and any codebase that benefits from interceptors and automatic throws, Axios remains the productivity winner. For high-throughput pipelines, edge runtimes, and streaming workloads, native Fetch with undici is faster and ships zero bytes to the browser. Most production codebases ship both: Axios for application HTTP, Fetch for streaming and edge.

Whichever you pick, pair it with the right proxy. Start with SpyderProxy Premium Residential at $2.75/GB or Budget Residential at $1.75/GB for general scraping, scale up to Static Residential at $3.90/day for account work, or LTE Mobile at $2/IP for the hardest targets.

Pair Your HTTP Client With Real Residential IPs

Whether you ship Axios or Fetch, your scraper still needs clean IPs. SpyderProxy residential from $1.75/GB, static ISP from $3.90/day, and LTE mobile at $2/IP. 130M+ IPs, 195+ countries, SOCKS5 included.