Today, almost every business closely follows the Google search result data in its field. This data is known as SERP for short. Businesses can perform competitive analysis, keyword research, and content optimization with SERP data. Businesses can obtain or scrape Google search results in many ways. But the most popular of these ways is to use the Google SERP API.

Most search engines like Google are very difficult websites to scrape. Google SERP API is a web scraping API developed specifically for the Google search engine. This API is designed in such a way that there is no pause in scraping Google SERP data. In this article, we will first touch on the importance of analyzing the scraped SERP data. Then we will get to know today’s most popular SERP API and develop an application.

What Is the Importance of Analyzing SERP Data?

Today, businesses make sense of obtained SERP data with web scraping APIs. They analyze this data. Although businesses obtain this data for different reasons, the biggest advantage of this data to businesses is SEO. This data helps businesses improve their SEO (Search Engine Optimization) strategies used to achieve higher rankings in search engines.

For example, businesses can analyze SERP results for a keyword. Next, businesses can identify the best-performing content types, page formats, meta descriptions, and titles for that keyword. This information can help businesses optimize their own content and websites.

Zenserp API: Greatest Way for Web Scraping Google Search Results

home of the zenserp api: best way to scrape google search results

Zenserp API is a web scraping API that provides Google SERP data that businesses and developers need. This API is one step ahead of its competitors in scraping SERP data.

It can scrape Google domains of Zenserp API quickly and easily. Like Google Images, Google News, Google Maps, Google Search, Google Video, and more. Also, this API provides an image reverse service.

Although Zenserp API is known as Google scraping API, it can actually scrape SERP data of almost any search engine. Like Bing, Yandex, and DuckDuckGo.

Zenserp API has a large pool of proxies to enable automated web scraping processes. In this way, it also provides an easy location-based web crawling experience.

This API integrates easily into all programming languages today. In this way, it can be easily used in any web scraping project. It also provides very detailed documentation on integration and endpoints.

Integration of Zenserp API Into Python

In this part, we will develop an application to obtain Google SERP data with the Zenserp API. We will develop this application with the Python programming language and perform step-by-step integration.

First, we will obtain the API key we need to use this API. Let’s choose one of the affordable subscription plans provided by Zenserp API, register, and get the API key.

After obtaining the API key, we can integrate this API into Python and start using it. Let’s open a file with the extension ‘.py’ in the directory where we will develop the application. And let’s name it ‘google-serp-api’.

Let’s enter this file and paste the following codes.

import requests

headers = { 
  "apikey": "YOUR-API-KEY"}

params = (
   ("q","Pied Piper")

response = requests.get('', headers=headers, params=params);

With this code, we will scrape the SERP data that will be obtained as a result of the ‘Pied Piper’ search. Let’s paste the API key we obtained into the ‘YOUR-API-KEY’ field and run the application with the following command.


After running the application, the output we will get will be as follows.

json response of the zenserp google serp api


In the end, it is quite simple to obtain SERP data, whose importance is increasing day by day, using a SERP API with Python. Using this API, developers can easily scrape the SERP data of target search engines and get a structured JSON output without any additional configuration. Businesses, on the other hand, can easily analyze and review the scraped structured data. As a result, businesses can easily make decisions on many critical issues such as marketing strategies.

Learn more about Zenserp SERP API, and scrape Google search results quickly.


Q: How to Scrape Google Search Results in Python?

A: There are several ways to scrape a Google search result page with Python programming language. The most popular of these are using a Python library, using a web scraping browser extension, or using a Google search API.

Q: Does SERP Data Help Businesses With SEO (Search Engine Optimization)?

A: Yes, SERP data helps businesses a lot with SEO. Some of these are as follows:

  • Competitive Analysis
  • Keyword Research
  • Content Optimization
  • Performance Tracking

Q: Can Zenserp API Extract Data from Any Search Engine?

A: Yes almost. Zenserp API can scrape today’s most popular search engines such as Google, Yandex, Bing, and DuckDuckGo. In addition to these, it can easily scrape the YouTube search area.

Q: Is the Zenserp API a Free Web Scraping API?

A: Yes, it is. Zenserp API is one of the most popular web scraping tools today and provides a web scraping service for free. The free plan of this API is limited to 50 requests per month. The first of the paid plans offer 5,000 requests for $29 per month.