SERP (Search Engine Results Page) data has become very important for every small, medium, and large business these days. SERP data is simply the list of results that appear when you type and search for a keyword in any search engine. Nowadays, it has become possible to easily obtain this data with a google scraping API. There are many Google Scraping APIs in the market, those belonging to the Google search engine that reach billions of users.
A SERP scraping API is a web service developed to provide keyword-corresponding SERP results from target search engines. However, search engines such as Google, Bing, and Yandex are very difficult websites to scrape. These websites have many anti-bot solutions to prevent web scraping. When developing a SERP scraping tool or using an API that provides this service, they must have certain features for seamless web scraping. In this article, we will list some features to scrape Google SERP results without getting banned and then develop an application using a Google SERP API. But first, let’s talk about why Google SERP data is important for businesses.
Why Does Google SERP Data Play a Vital Role For Businesses?
Google SERP data plays a vital role for businesses. This data is an extremely valuable resource that will help businesses understand the visibility of their digital assets, competition, and customer behavior. In addition, many businesses today develop more effective digital marketing strategies using this data.
Google SERP data gives businesses a competitive advantage in the rapidly changing digital environment. They use this data to track keyword trends, update SEO strategies, and better respond to the needs of target audiences. In this way, businesses can drive more traffic to their applications, increase conversions, and spread their success globally.
Some uses where Google SERP data is important for businesses are as follows:
- Competitive Analysis: With Google SERP data, businesses can monitor and understand their competitors’ digital marketing strategies. Information such as which competitors rank higher for which keywords in the Google search engine and how these competitors’ content strategies work allows businesses to improve and update their strategies.
- Keyword Research: SERP data helps businesses understand the search habits and interests of their target audience or people in a particular location. This allows them to identify appropriate keywords for the target audience and optimize their content.
- Visibility Tracking: Google SERP data easily helps businesses track how often their apps and content appear in search results. This assists them in evaluating their SEO strategies and making improvements.
- Customer Behavior Analysis: SERP data is a very valuable resource for businesses to understand customer behavior. Many businesses gain insight into which types of searches bring more clicks and conversions. In this way, they can easily optimize their advertising campaigns and content strategies.
- Digital Advertising Campaigns: SERP data is used by businesses to increase the effectiveness of their digital advertising campaigns. Tracking which keywords generate a return on investment aids them in managing their ad budgets more efficiently.
What are the Ways to Scrape Google Without Pauses?
Google is a very popular search engine that is active in hundreds of countries and has billions of users. The naturalness and accuracy of the data it provides are quite high. It has technical difficulties for people who want to scrape Google without interruption. Search engines like Google use many solutions to block web scraper bots. However, if you plan to perform this type of operation with a scraping tool you wrote yourself or with a Google scraping API, there are some elements that these applications must have. Some of these are as follows:
- Using Google Scraping API: Using a Google scraping API to scrape SERP data from Google is one of the best practices. Using a reliable Google scraping API can make data access and extraction processes more streamlined and reliable. These APIs have been developed to extract data from search engines such as Google and have many features such as proxy, IP rotation, and adding request range and do not require any configuration. APIs are usually kept up to date and offer many more measures to prevent IP blocking.
- IP Rotation: IP rotation is very important when developing a scraping application. Having an IP address pool and updating IP addresses with an IP address from this pool before requests at regular intervals prevents scraping bots from being noticed and banned by Google.
- User-Agent: Adding User-Agent information to web scraping tools prevents Google from detecting the web scraping tool. With this information, it is possible to make the web scraping tool look like a web application.
- Proxy Services: Using proxy services to manage IP rotation is important to avoid blocks and make extraction more secure.
- Update and Maintenance: It is important to keep the developed tool constantly updated and to make bug fixes at regular intervals. Since Google constantly updates its algorithms and policies, the tool may also need to adapt to these changes.
- Adding Request Interval: While scraping SERP data from Google with scraping tools, adding intervals to requests is very important to scrape Google without interruption. Sending requests in quick succession increases Google’s network traffic and ensures that you are noticed by Google.
- Implement CAPTCHA Solvers: CAPTCHAs are applications designed by websites to determine whether their visitors are real people. They usually determine whether the visitor is a bot or not by asking numerical or textual questions. CAPTCHA solvers are specialized services that help solve those CAPTCHA puzzles while accessing a target website. It is very important to use CAPTCHA-solving services when scraping search engine data. This helps web scraping tools bypass restrictions quickly.
Scraping Google Search With a Google Scraping API
In this section, we will integrate a highly equipped Google SERP API, which is an expert in SERP scraping, into Golang. This API is Zenserp Google SERP API.
Zenserp is a search API that provides SERP data at high speed without getting banned. Thanks to its powerful infrastructure, it extracts SERP data from search engines such as Google, Bing, Yandex, and DuckDuckGo, which are the most difficult to scrape. Additionally, this API also offers location-based web scraping.
It performs web scraping at high speed without slowing down in high traffic, thanks to its scalable infrastructure. It is also one of the rare SERP APIs in the market that offers this service for free. With its free subscription plan, users get free use of up to 50 API requests per month.
Before integrating and using this API into the Golang programming language, we need an API key to access its data. For this, let’s register for the free subscription plan it offers.
After obtaining the API key, let’s create a Golang file named ‘google-scraping-with-api’ in the file path where we will develop the application and put the following codes in it:
package main
import (
 “fmt”
 “net/http”
 “io/ioutil”
)
func main() {
 url := “https://app.zenserp.com/api/v2/search?apikey=ZENSERP-ACCESS-KEY&q=Marvel&location=Milan,Lombardy,Italy&gl=IT”
 method := “GET”
 client := &http.Client {
 }
 req, err := http.NewRequest(method, url, nil)
 if err != nil {
  fmt.Println(err)
  return
 }
 res, err := client.Do(req)
 if err != nil {
  fmt.Println(err)
  return
 }
 defer res.Body.Close()
 body, err := ioutil.ReadAll(res.Body)
 if err != nil {
  fmt.Println(err)
  return
 }
 fmt.Println(string(body))
}
With this code, we will obtain the Google SERP results of the ‘Marvel’ keyword in Milan, Italy, from the Zenserp API as location-based and print them on the console screen of the application. Let’s put our API key in the ‘ZENSERP-ACCESS-KEY’ field and start the application with the following command
go run google-scraping-with-api.go
The structured JSON response we get after running the application is as follows:
Conclusion
To sum up, Google SERP data is a valuable resource that shapes the strategies of many businesses. With the increasing importance of this data, the ways developed to scrape this data have diversified. There are many ways to successfully scrape data from Google without being blocked. Chief among these is using a Google scraping API. Scraping data using these APIs is one of the important methods to prevent blocking and extract data safely. Apart from that, developers can develop their web scraping tools. However, developers need to manually make many configurations in these tools, such as automatic IP rotation, proxy usage, adding request inversion, etc. to avoid being banned.
FAQs
Q: What is the Google Scraping API?
A: Google scraping API is a programming interface used to pull data from Google. This API allows users to pull information from Google search results and process that data.
Q: What are the Attractive Google SERP APIs?
A: Nowadays, there are many popular Google SERP APIs in the market. Some of these are as follows:
- Zenserp API
- SerpApi
- Scale SERP API
- Serper API
- SERPHouse API
Q: What is the Importance of Google SERP Data?
A: Google SERP data offers several important uses for businesses, including competitive analysis, keyword research, visibility tracking, customer behavior analysis, and market research. This data is also an indispensable resource for businesses to optimize their digital marketing strategies.
Q: Which Search Engines Other Than Google Does Zenserp Support?
A: Zenserp supports not only Google but also popular search engines such as Bing, Yahoo, Yandex, and DuckDuckGo. This allows users to pull SERP data from various search engines and helps them develop strategies in different markets.
