google-indexing-script

Google Indexing Script

The Google Indexing Script is a tool designed to assist webmasters in getting their entire site indexed by Google in under 48 hours without deploying any tricks or hacks. By leveraging the Google API, this script allows Google to acknowledge the existence of your web pages, although it does not guarantee improved ranking on search results.

Key Considerations

1. Targeted Structured Data: The script is dependent on pages having either JobPosting or BroadcastEvent structured data.
2. Indexing vs. Ranking: While the script helps in getting your site indexed, it does not influence the ranking of your pages in Google search results.

What You'll Need

To make use of this script, the following are necessary:

• Node.js: Install from the official Node.js website.
• Google Search Console Account: Ensure your sites are verified on Google Search Console.
• Google Cloud Account: Set up an account on Google Cloud.

Setting Up

1. Set up a project on Google Cloud and enable the Indexing API by following Google's guide.
2. Enable the required APIs:
   • Google Search Console API
   • Web Search Indexing API
3. Download your service account's JSON credentials and name it service_account.json. Place it alongside the script.

Installation Options

CLI Method

You can install the CLI version globally on your machine using:

npm i -g google-indexing-script

Repository Method

Alternatively, clone the repository:

git clone https://github.com/goenning/google-indexing-script.git
cd google-indexing-script
npm install
npm run build
npm i -g .

Note: Use Node.js version 20 or later for optimal performance. Verify your version with node -v.

Running the Script

Recommended Usage

For the most straightforward usage, create a .gis directory in your home folder and move the service_account.json file there:

mkdir ~/.gis
mv service_account.json ~/.gis

Run the script with your target domain or URL:

gis <domain or url>
# example
gis seogets.com

Other Methods

1. Custom path to service_account.json:

   gis seogets.com --path /path/to/service_account.json
   

2. Using environment variables:

   Open service_account.json and extract client_email and private_key. Then run:

   GIS_CLIENT_EMAIL=your-client-email GIS_PRIVATE_KEY=your-private-key gis seogets.com
   

3. As a npm module:

   Install the module:

   npm i google-indexing-script
   

   Then use it in your JavaScript project:

   import { index } from "google-indexing-script";
   import serviceAccount from "./service_account.json";
   
   index("seogets.com", {
     client_email: serviceAccount.client_email,
     private_key: serviceAccount.private_key,
   })
     .then(console.log)
     .catch(console.error);
   

Important Considerations

• Sitemaps: Ensure at least one sitemap is submitted to Google Search Console for site indexing.
• Re-run Capability: The script can be repeatedly run to index newly added pages.
• Time for Indexing: Large sites may require more time for complete indexing, so patience is advised.

Managing Quotas

API usage quotas may impact service. A retry mechanism for request exceedance per minute can be configured with:

export GIS_QUOTA_RPM_RETRY=true

Or within a JavaScript context:

import { index } from 'google-indexing-script';
import serviceAccount from './service_account.json';

index('seogets.com', {
  client_email: serviceAccount.client_email,
  private_key: serviceAccount.private_key,
  quota: { rpmRetry: true },
})
  .then(console.log)
  .catch(console.error);

Licensing and Sponsorship

This project is available under the MIT License and is sponsored by SEO Gets, a company dedicated to optimizing your web presence.