How to search in google with python

How To Use Google Search API In Python

Google is the most used search engine, and every business wants to rank high on it. That’s why businesses need to scrape SERPs (search engine result pages). This data helps improve SEO rankings and site visibility by providing meaningful insights on top content ranking. By analyzing organic and paid results, you can also use this data to see how your competitors are performing. However, scraping SERP data manually is time-consuming and can generate inaccurate results. This is where you need a Google search API . If you’re looking to use Google search API in Python, zenserp is the best choice.

Zenserp is an efficient Google search API that lets you scrape accurate SERP in real-time. The powerful API comes with several endpoints and supports standard search, news search, image search, maps search, and more. In addition to Google, the API covers all other major search engines.

What Is A Google Search API?

A Google search API scrapes Google SERPs and returns valuable organic and paid results. Some APIs can also scrap Google images, news, maps, and shopping search results. Efficient Google search APIs like zenserp also give you customization options, such as custom country, location, and language. Additionally, they also allow you to select the device type.

If you want to learn how to build a search engine ranking startup, check out this article.

Why Use Google Search API In Python?

Python is among the most used programming languages for building robust web apps and websites. If you’re a web developer, you must’ve used Python. Using Google search API in Python, you can get accurate search engine results pages for different queries.

SERP data is valuable for all types of businesses, small or large, who want to rank higher on Google and increase their website’s visibility. This is because it helps you with Search engine optimization (SEO), which is the key to increasing website traffic. For example, you can analyze higher-ranking posts for a specific query and improve your posts accordingly. A Google search API can also help check ads for particular keywords and understand the trends. You can also scrape and collect reviews about different products to further understand the trends.

If you want to know how to monitor Google search results using node.js, this article will be helpful.

Which Google Search API Should I Use?

While several options are available in the market, zenserp leads the pack with its fast speed, high accuracy, and many features. Additionally, the zenserp API can handle a high volume of search results without compromising performance.

Zenserp Google search API can scrape the following search results:

Organic Results

Organic results are one of the key elements of SERP because they get the most clicks. These results depend on different factors, such as keywords, web traffic, backlinks, etc. Zenserp API returns accurate organic results for a query and provides useful information, such as title, URL, destination, description, and date. It also tells the position of a post on Google.

Image Results

Zenserp can return all image results for a specific search query or a certain set of keywords. It also supports image reverse search results.

News and Video Results

Zenserp API also returns inline news and videos as part of the organic results. It provides the description, thumbnail, and target URL of the news search result and the title and URL of the video.

Paid Results

Google returns paid results or ads in search results of different search queries or keywords. Zenserp is capable of returning all types of Google ads, and it also shows their position on the search result page.

Shopping Search Results

Zenserp can return all shopping results for a specific query.

Here are some other SERP snippets that zenserp supports:

• Local results
• Map results (return information for local businesses like restaurants, stores, etc.)
• Related questions/People also ask results
• Knowledge graph
• Answer box Results, including calculations, dictionary, weather reports, and much more
• Google shopping product page (provides access to shopping product pages by their product ID)
• New SERPs are continuously added to the API as they are released

Is It Easy To Use Google Search API In Python?

It depends on which Google search API you’re using. Some APIs are difficult to use and aren’t documented properly. Zenserp, on the other hand, is pretty easy to use and returns results in real-time. The API comes with an efficient request builder to help you get started quickly. The request builder converts your requests into production-ready code snippets.

Additionally, the zenserp Google search API comes with extensive documentation of all the details about the API’s endpoint. The documentation also consists of code examples in different programming languages to make things even easier for you.

How To Get Image Results Using A Google Search API?

Below is a sample python code for getting image results for query “Pied Piper” using zenserp API:

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googlesearch

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

You will need Python 3 to use this module

 Minimum required versions:  versions: According to Vermin, Python 3.2 is needed

Always check if your Python version works with googlesearch before using it in production

Installing

Option 1: From PyPI

pip install python-googlesearch

Make sure to download python-googlesearch as googlesearch cannot be given to any package on PyPI

Even if you download python-googlesearch , googlesearch is used for the imports and the CLI version for conveniency purposes

Option 2: From Git

pip install git+https://github.com/Animenosekai/googlesearch

You can check if you successfully installed it by printing out its version:

$ python -c  googlesearch v1.1.1

$ googlesearch --version googlesearch v1.1.1

Usage

You can use googlesearch in Python by importing it in your script:

You can use googlesearch in other apps by accessing it through the CLI version:

$ googlesearch --query Python          ,           ,  ,     

An interactive version of the CLI is also available

$ googlesearch Enter  to  googlesearch   ~ Query > : .   What  you want to  —————————————————SEARCH RESULT—————————————————  Description: URL: .  Related Searches: 

You can get help on this version by using:

$ googlesearch --help usage: googlesearch    QUERY 

Search

The search class represents a Google Search.

It lets you retrieve the different results/websites ( Search.results ) and the related searches ( Search.related_searches )

How to use

This class is lazy loading the results.

When you initialize it with Search() , it takes a query as the required parameter and the following parameters as optional parameters:

• language : The language to request the results in (All of the website won’t be in the given language as it is biased by lots of factors, including your IP address location). This needs to be a two-letter ISO 639-1 language code (default: «en»)
• number_of_results : The max number of results to be passed to Google Search while requesting the results (This won’t give you the exact number of results) (default: 10)
• retry_count : A positive integer representing the number of retries done before raising an exception (useful as googlesearch seems to fail sometimes) (default: 3)
• parser : The BeautifulSoup parser to use (default: «html.parser»)

It will only load and parse the website when results or related_searches is called.

parser is the BeautifulSoup parser used to parse the website and .

results is a list of googlesearch.models.SearchResultElement .

related_searches is a list of Search elements.

SearchResultElement

This class represents a result and is initialized by googlesearch .

It holds the following information:

• url : The URL of the website
• title : The title of the website
• displayed_url : The URL displayed on Google Search
• description : The description of the website

Extra

Every class has the as_dict function which converts the object into a dictionary. For Search , the as_dict function will convert the other Search objects in related_search to a string with the query.

Exceptions

All of the exceptions inherit from the GoogleSearchException exception.

You can find a list of exceptions in the exceptions.py file

Deployment

This module is currently in development and might contain bugs.

Feel free to use it in production if you feel like it is suitable for your production even if you may encounter issues.

Built With

• beautifulsoup4 — To parse the HTML
• requests — To make HTTP requests
• pyuseragents — To create the User-Agent HTTP header
• inquirer — To make a beautiful CLI interface

Authors

License

This project is licensed under the MIT License — see the LICENSE file for more details

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