Google Indexing API Implementation through Python – Step By Step Guide with No Steps Skipped

Google Indexing API Implementation through Python – Step By Step Guide with No Steps Skipped

API stands for Application Programming Interface. It’s like a bridge between two software programs that allows both of them to connect to share data and achieve a certain level of integration between the two programs. Here you will learn the techniques of Google Indexing API Python.

In the vast realm of search engine optimization (SEO), staying ahead of the game is paramount. As a website owner, you strive to have your content indexed by Google swiftly and accurately, ensuring maximum visibility for your online presence. To achieve this, you need to harness the power of the Google Index API. In this article, we will delve into the ins and outs of this indispensable tool, uncovering its potential to revolutionize your SEO efforts. So, fasten your seatbelts and get ready to explore the world of the Google Index API!

google indexing API through Python

Google Index API: A Game-Changing Solution

The Google Index API serves as a bridge between your website and the powerful indexing capabilities of Google. It enables you to submit individual URLs or batches of URLs directly to the Google index, bypassing the traditional crawling process. This means that your content can be indexed faster, ensuring that it reaches the search engine results pages (SERPs) in a timely manner.

The Google Index API provides a host of benefits, including:

  1. Accelerated Indexing: By leveraging this API, your URLs can be indexed almost instantly, saving valuable time and ensuring that your content is available to users faster.
  2. Real-time Updates: Whether you’re publishing new content or making updates to existing pages, the API allows you to notify Google immediately, ensuring that changes are reflected in the search results promptly.
  3. Efficient Resource Management: The API empowers you to prioritize critical URLs for indexing, making sure that your most important content receives the attention it deserves.
  4. Enhanced Data Insights: By utilizing the API, you gain access to valuable data and insights on how Google perceives and indexes your website, enabling you to fine-tune your SEO strategy accordingly.

Now that we understand the significance of the Google Index API, let’s address some frequently asked questions to shed further light on its implementation and benefits.


  • You need to install Python, Anaconda on Windows/Mac
  • Need to have a Google Developer Console account
  • Need to set a billing account on the Google Developer Console settings (Optional)

From Google Developer Console dashboard > go to Select a project > New Project > Give Project Name > Click on Create’, as shown here.

A notification will appear instantly and then click on SELECT PROJECT as shown here:

Thereafter select API & Services > Credentials

Then click on Create Credentials

Next, select Service Account

Fill the Service account name and description fields

Then click on Create and Continue button

Next, Select Role to Owner and click > continue > done as shown below:

Once the complete setup is done, then copy the marked generated email to a notepad for future use:

Then click on this marked email and add key as shown below:

Then select JSON and click on Create

A private key will be saved on your computer automatically.

Now, let’s move on to enabling the API part. Here are the steps to consider:

Click on left hamburger menu > APIs & Services > Library

Then search indexing api on the library.

Select the 1st One as shown here:

And click on Enable option

This is the entire Google Developer Console steps to consider. Now we need to head on to the Google Search Console property of the particular website.

First up, go to settings.

Then select Users and Permissions

Click on ADD USER

Now add the generated mail which we got from Google Developer Console and set the permission to owner

Once you are done with this, then head over to the Anaconda console, to run the command as shown below:

Code 1: pip install oauth2client httplib2

Code 2: pip install pandas

Here we need to install some library files through the Anaconda terminal, as shown below:

Code 1 initialization done

Code 2 initialization done

Now just check the current index status for the site you are expecting to index on Google.

Current discovered URLs on Google: 16

Also, check some of the key pages for the site that are not being indexed yet by Google. For example, see this below:

And based on these searches, make a comprehensive list of URLs that you want to index on Google and save it in a CSV file (data.csv)

Then create a folder consisting of 3 files, one is data.csv (the list of URLs), another one is apidetails.json (rename with this name) that is generated previously by Google Console Developer and the last file is the code snippet file.

Once you are ready with all the files then we need to finally run the indexing script through the terminal as shown here:

Let’s run the code of

We re-run the Anaconda Console and change the path of the respective directory by putting the below syntax as shown in the screenshot below:

After changing the path we run the following code as below:

Code to execute: python

Once you run the code Google will get the indexing request for the specified URLs with timestamps as shown in the above screenshot.

Sidenote: Here you can add up to 1000 URLs quota per campaign to make the bulk indexing request.

Results we got after implementation:

As per the indexing status of the URL ( it was not indexed in the Google SERP to date (16.02.2022). After running the Python SEO program for this website, the URL got indexed as shown below (17.02.2022):

FAQs About the Google Index API

1. What is the process of integrating the Google Index API into my website?

Integrating the Google Index API into your website involves a series of steps:

  1. Create a Google API Project: Head over to the Google Cloud Console, create a new project, and enable the Google Indexing API.
  2. Obtain an API Key: Generate an API key, which will authenticate your requests to the Google Indexing API.
  3. Implement the API: Use the API key to authenticate your requests and make the necessary API calls to submit URLs for indexing.

2. Can I use the Google Index API for all types of content?

Yes! The Google Index API supports various content types, including web pages, blog posts, news articles, and even dynamic content generated by JavaScript applications. Whether your content is static or dynamic, the API provides a reliable means to ensure its inclusion in Google’s index.

3. Will using the Google Index API guarantee higher rankings in search results?

While the Google Index API expedites the indexing process, it does not directly influence search rankings. However, by enabling faster and more accurate indexing, the API indirectly contributes to improved visibility, which can positively impact your rankings over time.

4. Are there any usage limitations or quotas for the Google Index API?

Yes, there are quotas in place to ensure fair usage. The specifics vary based on your API usage history and the type of Google account you have. It’s crucial to monitor your usage and ensure it aligns with the established quotas to avoid any disruptions in service.

5. How can I track the performance of my indexed URLs?

Google Search Console is your go-to tool for monitoring the indexed URLs.


By implementing this procedure, we can enhance the link indexing possibility to a great extent and as per the case study shown here, it is quite effective.

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