Scrape Google Shopping Products Online Sellers Data Using Nodejs


Scraping Google shopping products online sellers data is not easy. This blog helps you scrape Google shopping products online sellers data using NodeJS.


Complete Code

If you don’t want an explanation, just go through the complete code given in online IDE



Initially, we have to make a Node.js* project to add npm packages cheerio for parsing parts of an HTML markup, with axios to do a website request.

To do that, in a directory with project, open this command line to enter:

$ npm init -y

And after that:

$ npm i cheerio axios

In case you don’t haven’t installed Node.js, just download that from to follow an installation documentation.


Initially, we have to scrape data from different HTML elements. The procedure of having correct CSS selectors is very easy through SelectorGadget Chrome extension that can grab CSS selectors through clicking the anticipated elements in a browser. Although, it doesn’t always work perfectly, particularly when a JavaScript is there in the website.

The Gif given here shows the approach of choosing various parts of results.


Code description

State constants from axios and cheerio libraries:


After that, we write a product ID, request alternatives: HTTP headers using User-Agent that is used for acting as the "real" user visits, and the required parameters to make a request:

after-that-we-write-1 after-that-we-write-2

Note: Default axios requests user-agents are axios/ therefore websites know this is the script, which sends requests and could block that. Check what's the user-agent.

After that, we write the function, which makes a request and returns usual data. We acknowledged the reply from axios request which has data key which we have de-structured and parse that with cheerio:


After that, we have to get various parts of a page with next methods:

After-that-we-have-to After-that-we-have-to-2

Now it’s time to launch a parser:




Use Google Products Online Sellers’ API from iWeb Data Scraping

The section here shows comparison between DIY solutions and our solutions..

The key difference here is, you don’t have to make a parser from the scratch and sustain it.

There’s also a possibility that a request could get blocked at one place from Google, we deal with that on the backend therefore, there’s no requirement to find how to perform that yourself or find which CAPTCHA and proxy service provider to hire.

Initially, we have to install this - google-search-results-nodejs:

npm i google-search-results-nodejs

Here’s a complete code example in case you don’t want any explanation:

Heres-a-complete-code Heres-a-complete-code-2

Code description

Initially, we have to state iWeb Data Scraping from google-search-results-nodejs library and describe new search example with API keys from iWeb Data Scraping:'


Then, we write the essential parameters to make a request:


After that, we wrap a search method from iWeb Data Scraping library in the promise to work more with search results:


And in the end, we declare a function getResult, which gets data from a page and return that:


In the function here, we get json using results, and return objects with data from established json with spread syntax:


Then, we run getResults function and print the acknowledged data in a console with console.dir technique that helps you to utilize an object with required parameters to alter default outputs:

getResults().then((result) => console.dir(result, { depth: null }));



For more information, contact iWeb Data Scraping now! You can also contact us for all your mobile app scraping and web scraping services requirements.

Let’s Discuss Your Project