React: ReCAPTCHA vlient and Server Demo
In this demo, I’ll use Google ReCAPTCHA v3 credentials within a React application built on Next.js. The ReCAPTCHA token will be generated on the client side and validated on the server side.
Links
Demo
Codebase
Step 1: Generate Your ReCAPTCHA Credentials
Go to Google ReCaptcha V3 and generate your credentials.
Step 2: Import the ReCaptcha library
<Script src={`https://www.google.com/recaptcha/enterprise.js?render=${process.env.NEXT_PUBLIC_RE_CAPTCHA_SITE_KEY}`} />
Note: There are some packages you could use, but the implementation is simple.
Step 3: Call the execute method in your click handler
const loginClickHandler = (event) => { event.preventDefault(); grecaptcha.enterprise.ready(async () => { const token = await grecaptcha.enterprise.execute( process.env.NEXT_PUBLIC_RE_CAPTCHA_SITE_KEY, { action: "LOGIN" } ); await submit(token); }); };
grecaptcha is an object injected by the imported script.
Note: When using Next.js, ensure all environment variables exposed in the browser are prefixed with NEXT_PUBLIC.
When the user clicks login, the app automatically generates a captcha for them by calling two methods from the grecaptcha object:
- window.grecaptcha.enterprise.ready: This makes sure the Google reCAPTCHA object is ready to go.
- window.grecaptcha.enterprise.execute: This generates the captcha token.
Finally, the data is sent to the backend (in my case, I’m using a Lambda function), along with the generated captcha token.
const submit = async (code) => { await fetch("`/.netlify/functions/react-recaptcha-v3-nextjs", { method: "POST", headers: { "Content-Type": "application/json", }, body: JSON.stringify({ code }), }); };
Note: If you are working with a form, you’d also include other field values like username, name, or any additional data your form collects.
Step 4: Validate the Captcha on the Backend
const validateReCaptcha = async (captcha) => { const url = `https://www.google.com/recaptcha/api/siteverify?secret=${process.env.RE_CAPTCHA_SECRET_KEY}&response=${captcha}`; const response = await fetch(url, { method: "POST", headers: { "Content-Type": "application/json", }, body: JSON.stringify({ captcha }), }); return response.json(); };
validateReCaptcha is a backend method that calls a Google API endpoint, passing the SECRET_KEY (stored as an environment variable) and the Captcha token generated on the client.
If the Captcha is valid, the API response will look something like this:
{ "success": true, "challenge_ts": "2024-11-24T03:04:34Z", "hostname": "localhost", "score": 0.9 }
Conclusion
ReCaptcha is crucial for securing forms, especially when you're looking to prevent bots from submitting them. Google offers a free tier that provides up to 10,000 assessments per month (at the time of writing), making it a solid choice for many applications. The integration is made easier with the library that google provides. You'll just need to pass your credentials: SITE_KEY on the client side and SECRET_KEY on the server side.
A key point to remember is that the SECRET_KEY should never be exposed on the client side, as this could compromise the security of your application. Only the SITE_KEY is meant for the client.
The above is the detailed content of React: ReCAPTCHA vlient and Server Demo. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

The main uses of JavaScript in web development include client interaction, form verification and asynchronous communication. 1) Dynamic content update and user interaction through DOM operations; 2) Client verification is carried out before the user submits data to improve the user experience; 3) Refreshless communication with the server is achieved through AJAX technology.

JavaScript's application in the real world includes front-end and back-end development. 1) Display front-end applications by building a TODO list application, involving DOM operations and event processing. 2) Build RESTfulAPI through Node.js and Express to demonstrate back-end applications.

Understanding how JavaScript engine works internally is important to developers because it helps write more efficient code and understand performance bottlenecks and optimization strategies. 1) The engine's workflow includes three stages: parsing, compiling and execution; 2) During the execution process, the engine will perform dynamic optimization, such as inline cache and hidden classes; 3) Best practices include avoiding global variables, optimizing loops, using const and lets, and avoiding excessive use of closures.

Both Python and JavaScript's choices in development environments are important. 1) Python's development environment includes PyCharm, JupyterNotebook and Anaconda, which are suitable for data science and rapid prototyping. 2) The development environment of JavaScript includes Node.js, VSCode and Webpack, which are suitable for front-end and back-end development. Choosing the right tools according to project needs can improve development efficiency and project success rate.

C and C play a vital role in the JavaScript engine, mainly used to implement interpreters and JIT compilers. 1) C is used to parse JavaScript source code and generate an abstract syntax tree. 2) C is responsible for generating and executing bytecode. 3) C implements the JIT compiler, optimizes and compiles hot-spot code at runtime, and significantly improves the execution efficiency of JavaScript.

Python is more suitable for data science and automation, while JavaScript is more suitable for front-end and full-stack development. 1. Python performs well in data science and machine learning, using libraries such as NumPy and Pandas for data processing and modeling. 2. Python is concise and efficient in automation and scripting. 3. JavaScript is indispensable in front-end development and is used to build dynamic web pages and single-page applications. 4. JavaScript plays a role in back-end development through Node.js and supports full-stack development.

JavaScript is widely used in websites, mobile applications, desktop applications and server-side programming. 1) In website development, JavaScript operates DOM together with HTML and CSS to achieve dynamic effects and supports frameworks such as jQuery and React. 2) Through ReactNative and Ionic, JavaScript is used to develop cross-platform mobile applications. 3) The Electron framework enables JavaScript to build desktop applications. 4) Node.js allows JavaScript to run on the server side and supports high concurrent requests.
