Best Programming Language for Web Scraping

Comparison table

The table compares the ecosystems, not the speed of the languages. For scraping, network latency and the target site's limits dominate run time long before raw language speed matters, so we did not publish benchmark numbers.

Two notes on the table. Playwright's supported languages page lists four official bindings: Node.js, Python, Java and .NET. Go users rely on a community port or on chromedp, which drives Chrome through the DevTools protocol directly. And Selenium has official bindings for Java, Python, C#, Ruby and JavaScript, so it is the one browser tool available in all of these languages except Go.

Each language's libraries

Python

Python's advantage is that every layer has a mature, documented option. Requests and HTTPX for fetching, Beautiful Soup and lxml for parsing, Scrapy for full crawlers with scheduling, pipelines and throttling built in, and Playwright for browser work. Data handling after the scrape (pandas, SQL drivers, notebooks) is also strongest here, which is why data teams default to it. Our Python web scraping tutorial builds a polite crawler from scratch, and the Scrapy proxy guide covers the framework.

Node.js

Cheerio gives Node a jQuery-like API over parsed HTML, and Crawlee is a full crawling framework with request queues, retries and browser pools that can switch between plain HTTP and Playwright or Puppeteer per request. Puppeteer is maintained by the Chrome team. If your scraper needs to run JavaScript from the target page, or you want one language from browser script to backend, Node is the shortest path. See Node.js fetch through a proxy and Axios proxy configuration.

Go

Go's standard library includes a production-grade HTTP client. Colly adds a crawler with callbacks, rate limits per domain and proxy switching, and goquery adds jQuery-style selection. chromedp drives Chrome without a Node dependency. The result compiles to one static binary with low memory per connection, which is attractive for crawlers that run for weeks. Our chromedp guide covers the browser side.

Java

jsoup is the standard Java HTML parser and handles messy real-world markup well. Java 11 added a modern HttpClient with HTTP/2 and async support, and Java 21's virtual threads make thread-per-request code cheap. Playwright for Java and Selenium cover browsers. Java fits when the scraper feeds existing JVM systems or must meet enterprise deployment rules. For Selenium specifics see our Selenium proxy authentication guide.

Ruby

Nokogiri is a fast, mature parser built on libxml2, and Ferrum drives Chrome through the DevTools protocol in pure Ruby. Ruby's dedicated crawling frameworks are smaller and less active than the other four languages' options, so Ruby works best for scrapers that live inside a Rails app, where models, jobs and storage already exist.

Headless browser support

Most modern sites can be read without a browser, but some build content with JavaScript or protect pages with client-side checks. When you need a browser, the language decides which tools you can use.

The practical rule: if browser automation is central to the project, choose a language with official Playwright support (Node.js, Python or Java), because it gets new browser versions and features first. Proxy credentials in browsers deserve a note too. Chromium does not accept a username and password in its proxy command-line flag, so tools pass them through their own API. Playwright has username and password fields on its proxy option; Selenium usually needs an extension or a local forwarder. Our Puppeteer proxy guide and Playwright proxy guide show both patterns.

Concurrency

Scraping is mostly waiting for the network, so the question is how cheaply a language can keep many requests in flight while staying polite to each site.

• Python's asyncio with HTTPX or aiohttp handles many concurrent requests in one process. CPU-heavy parsing can block the event loop; move it to a process pool if parsing dominates.
• Node.js runs everything on an event loop by default, so concurrent fetches are natural. As in Python, heavy synchronous parsing blocks other work.
• Go starts a goroutine per task cheaply and spreads parsing across CPU cores without extra effort, which is why it is popular for large crawlers.
• Java's virtual threads, final in Java 21, let you write simple blocking code with a thread per request at a scale that used to require async frameworks.
• Ruby has threads and fibers; for I/O-bound work they are adequate, and job queues usually provide the parallelism in Rails apps.

None of this changes the limit that matters most: the site's tolerance. A crawler that can open ten thousand connections still should not. Cap requests per host, honor Retry-After, and spread work across time rather than across sockets.

Proxy support snippets

The same task in five languages: send one GET request through an authenticated HTTP proxy, with credentials from the environment (PROXY_URL holds scheme, host and port; PROXY_USER and PROXY_PASSWORD hold the credentials). We ran each one on October 30, 2026 through a local authenticated proxy, once to a plain HTTP fixture and once to an HTTPS site through a CONNECT tunnel.

Python (Requests)

import os
from urllib.parse import quote, urlsplit

import requests

p = urlsplit(os.environ["PROXY_URL"])
auth = f"{quote(os.environ['PROXY_USER'], safe='')}:{quote(os.environ['PROXY_PASSWORD'], safe='')}"
proxy = f"{p.scheme}://{auth}@{p.hostname}:{p.port}"
response = requests.get(os.environ["TARGET_URL"], proxies={"http": proxy, "https": proxy}, timeout=(5, 20))
print(response.status_code, len(response.content), "bytes")

Requests expects credentials inside the proxy URL, so they are percent-encoded first. Tested with Requests 2.34.2 on Python 3.12.

Node.js (Undici)

import { fetch, ProxyAgent } from 'undici';

const token = Buffer.from(`${process.env.PROXY_USER}:${process.env.PROXY_PASSWORD}`).toString('base64');
const dispatcher = new ProxyAgent({ uri: process.env.PROXY_URL, token: `Basic ${token}` });
const response = await fetch(process.env.TARGET_URL, { dispatcher, signal: AbortSignal.timeout(20_000) });
const body = await response.arrayBuffer();
console.log(response.status, body.byteLength, 'bytes');

Undici's ProxyAgent takes the credentials as a Basic token and handles CONNECT for HTTPS targets. Tested with Undici 8.12.3 on Node 22. Our Node.js fetch guide explains the built-in environment proxy option in newer Node versions.

Go (net/http)

package main

import (
	"fmt"
	"io"
	"net/http"
	"net/url"
	"os"
	"time"
)

func main() {
	proxyURL, err := url.Parse(os.Getenv("PROXY_URL"))
	if err != nil {
		panic(err)
	}
	proxyURL.User = url.UserPassword(os.Getenv("PROXY_USER"), os.Getenv("PROXY_PASSWORD"))
	client := &http.Client{
		Transport: &http.Transport{Proxy: http.ProxyURL(proxyURL)},
		Timeout:   20 * time.Second,
	}
	resp, err := client.Get(os.Getenv("TARGET_URL"))
	if err != nil {
		fmt.Fprintln(os.Stderr, "request failed")
		os.Exit(1)
	}
	defer resp.Body.Close()
	body, _ := io.ReadAll(resp.Body)
	fmt.Println(resp.StatusCode, len(body), "bytes")
}

Go's net/http builds the Proxy-Authorization header from the user information in the proxy URL, including for CONNECT tunnels. url.UserPassword handles encoding. Tested with Go 1.27.3.

Java (HttpClient)

import java.net.Authenticator;
import java.net.InetSocketAddress;
import java.net.PasswordAuthentication;
import java.net.ProxySelector;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.time.Duration;

public class ProxyGet {
    public static void main(String[] args) throws Exception {
        URI proxy = URI.create(System.getenv("PROXY_URL"));
        HttpClient client = HttpClient.newBuilder()
            .proxy(ProxySelector.of(new InetSocketAddress(proxy.getHost(), proxy.getPort())))
            .authenticator(new Authenticator() {
                @Override
                protected PasswordAuthentication getPasswordAuthentication() {
                    if (getRequestorType() != RequestorType.PROXY) return null;
                    return new PasswordAuthentication(System.getenv("PROXY_USER"),
                        System.getenv("PROXY_PASSWORD").toCharArray());
                }
            })
            .connectTimeout(Duration.ofSeconds(5))
            .build();
        HttpRequest request = HttpRequest.newBuilder(URI.create(System.getenv("TARGET_URL")))
            .timeout(Duration.ofSeconds(20)).build();
        HttpResponse<byte[]> response = client.send(request, HttpResponse.BodyHandlers.ofByteArray());
        byte[] body = response.body();
        System.out.println(response.statusCode() + " " + (body == null ? 0 : body.length) + " bytes");
    }
}

This one has a trap. The JDK disables Basic authentication for HTTPS tunnels by default, a change Oracle announced in the Java 8u111 release notes by adding Basic to the jdk.http.auth.tunneling.disabledSchemes property. On OpenJDK 21.0.13, our plain HTTP request succeeded, but the HTTPS request returned 407 0 bytes with default settings. Starting the JVM with -Djdk.http.auth.tunneling.disabledSchemes= (an empty value) made the same request return 200. Set that property only for the process that needs it, and only with a proxy you trust, since Basic credentials are sent unencrypted to the proxy.

Ruby (Net::HTTP)

require 'net/http'
require 'uri'

proxy = URI(ENV.fetch('PROXY_URL'))
target = URI(ENV.fetch('TARGET_URL'))
http = Net::HTTP.new(target.host, target.port, proxy.host, proxy.port,
                     ENV.fetch('PROXY_USER'), ENV.fetch('PROXY_PASSWORD'))
http.use_ssl = target.scheme == 'https'
http.open_timeout = 5
http.read_timeout = 20
response = http.request(Net::HTTP::Get.new(target))
puts "#{response.code} #{response.body.bytesize} bytes"

Net::HTTP takes the proxy host, port, user and password as constructor arguments and handles the tunnel itself. Tested with the Ruby 2.6 that ships with macOS; the API is unchanged in current Ruby.

All five reached both targets through the proxy, and the proxy's log showed every request authenticated. The test lab with these files and the runner is linked from our Python tutorial.

If you need a dedicated exit for a permitted project, Coronium's mobile proxies work with all of these clients: each line is a physical device with its own SIM, rented to one customer, with HTTP and SOCKS5 on every line.

Pick by project

Choose the language your team will maintain, then check that the ecosystem covers the hard part of your project.

A mixed setup is common and sensible: a Python or Node scheduler, a Go fetcher for the bulk of plain HTTP pages, and a small pool of Playwright workers for the pages that need a browser. Whatever the mix, keep the politeness rules (robots.txt, per-host limits, Retry-After) in one shared place so every component follows them. For the legal side, which no language choice changes, see is web scraping legal.

Frequently asked questions