How to Build a Google Index Checker Tool Using SERP API?

If you’re a website owner or a digital marketer, you probably know how important it is to have your website indexed by Google. It’s the first step towards getting your website to appear in Google search results. But how do you know if your website has been indexed? That’s where a Google Index Checker tool comes in handy. In this blog post, we will show you how to build a Google Index Checker tool using SERP API.
What is SERP API?
SERP API is an (Application Programming Interface) that allows you to access search engine results pages (SERPs) data programmatically. SERP API from SERPHouse allows you to retrieve data from Google, Bing, and Yahoo search engines. With these, you can automate many SEO tasks, including keyword research, competitor analysis, and rank tracking.
Why use SERP API to build a Google Index Checker Tool?
SERP API is the best option to build a Google Index Checker tool because it provides accurate and up-to-date data. Google changes its algorithm frequently, and if you use a tool that relies on scraping Google search results, you may get inaccurate or outdated data. SERP API also provides data in a structured format, which makes it easy to process and analyze.
Getting Started with SERP API from SERPHouse.com
To get started with SERPHouse.com, you need to sign up for an account on their website. They offer a free plan that allows you to make up to 100 requests per month. If you need more requests, you can upgrade to a paid plan.
Once you’ve signed up, you’ll receive an API key that you can use to access their API. You can find the documentation on their website, which explains how to use API.
Building the Google Index Checker Tool
To build a Google Index Checker tool, you need to make a request to Google and check if your website appears in the search results. Here’s the code snippet to do that:
import requests
api_key = "your_api_key"
domain = "your_website_domain"
url = "https://api.serphouse.com/serp/live?q=site:{domain}&api_token={api_key}"
response = requests.get(url)
data = response.json()
if "organic" in data:
if data["organic"]:
print("Your website is indexed by Google.")
else:
print("Your website is not indexed by Google.")
else:
print("Error retrieving data from Google.")
Let’s break down the code. First, we import the requests library, which allows us to make HTTP requests. Then, we set the api_token
variable to our API key from SERPHouse.com, and the domain
variable to our website’s domain name.
Next, we construct the URL to make a request to SERP API. We use the site:
operator to search for our website in Google’s index. and use api_token in the URL to authenticate a request.
We then make the request using the requests.get()
method and store the response in the response
variable. We then parse the JSON data using the response.json()
method and store it in the data
variable.
Finally, we check if the "organic"
the key exists and it is not empty. Then print a message saying that the website is indexed by Google. If it’s empty, print a message saying that the website is not indexed by Google. If the "organic"
key doesn’t exist, we print an error message.