> For the complete documentation index, see [llms.txt](https://web3-analytics.gitbook.io/product-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://web3-analytics.gitbook.io/product-docs/fundamentals/getting-set-up/install-via-npm.md).

# Install via NPM

Personalized instructions for installing your app can be found in the 'How to install' tab of your App dashboard.

<figure><img src="/files/m4kfRsjijeRsVg87fVhE" alt=""><figcaption></figcaption></figure>

## How to install via NPM

If your app uses a package manager like npm, you can install Web3 Analytics like this:

```
npm install analytics analytics-plugin-web3analytics
```

At the top level of your app, import Web3 Analytics like this:

```javascript
import Analytics from 'analytics'
import web3Analytics from 'analytics-plugin-web3analytics'
```

And initialize and configure like this:

```javascript
const analytics = Analytics({
  app: 'awesome-app',
  plugins: [
    web3Analytics({
      appId: 'YOUR_APP_ID',
      jsonRpcUrl: 'https://eth-goerli.g.alchemy.com/v2/your_key_here'
    })
  ]
})
```

You can use any app name you like. For appId, input your appId (it will be displayed in the instructions and is also visible on the details tab of the app dashboard. You will also need to use your own jsonRpcUrl for Goerli.

Here is an [example app](https://github.com/andyjagoe/web3-analytics-demo) for reference.

<figure><img src="/files/LFtStpaeFTlKYLi3Gp1W" alt=""><figcaption></figcaption></figure>