What will be scraped
Full code
If you don't need an explanation, have a look at the full code example in the online IDE
const cheerio = require("cheerio");
const axios = require("axios");
const productId = "8757849604759505625"; // Parameter defines the ID of a product you want to get the results for
const AXIOS_OPTIONS = {
headers: {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/101.0.4951.64 Safari/537.36",
}, // adding the User-Agent header as one way to prevent the request from being blocked
params: {
hl: "en", // parameter defines the language to use for the Google search
gl: "us", // parameter defines the country to use for the Google search
},
};
function getSellersInfo() {
return axios.get(`https://www.google.com/shopping/product/${productId}/offers`, AXIOS_OPTIONS).then(function ({ data }) {
let $ = cheerio.load(data);
return {
title: $(".BvQan")?.text().trim(),
reviews: parseInt($(".HiT7Id > span")?.attr("aria-label")?.replace(",", "") || 0),
rating: parseFloat($(".UzThIf")?.attr("aria-label")),
onlineSellers: Array.from($(".sh-osd__offer-row")).map((el) => ({
name: $(el).find(".b5ycib")?.text().trim() || $(el).find(".kjM2Bf")?.text().trim(),
link: `https://www.google.com${$(el).find(".b5ycib")?.attr("href") || $(el).find(".pCKrrc > a")?.attr("href")}`,
basePrice: $(el).find(".g9WBQb")?.text().trim(),
additionalPrice: {
shipping: $(el).find(".SuutWb tr:nth-child(2) td:last-child")?.text().trim(),
tax: $(el).find(".SuutWb tr:nth-child(3) td:last-child")?.text().trim(),
},
totalPrice: $(el).find(".SuutWb tr:last-child td:last-child")?.text().trim(),
condition: $(el).find(".Yy9sbf")?.text().trim() || "New",
})),
reletedProducts: Array.from($(".xyjbB")).map((el) => ({
title: $(el).find(".YTkbnd")?.text().trim(),
link: `https://www.google.com${$(el).find(".YTkbnd")?.attr("href")}`,
price: $(el).find(".vzbr7d")?.text().trim(),
reviews: parseInt($(el).find(".HiT7Id span")?.attr("aria-label")?.replace(",", "")) || "No reviews",
rating: parseFloat($(el).find(".UzThIf")?.attr("aria-label")) || "No rating",
})),
};
});
}
getSellersInfo().then((result) => console.dir(result, { depth: null }));
Preparation
First, we need to create a Node.js* project and add npm
packages cheerio
to parse parts of the HTML markup, and axios
to make a request to a website.
To do this, in the directory with our project, open the command line and enter:
$ npm init -y
And then:
$ npm i cheerio axios
*If you don't have Node.js installed, you can download it from nodejs.org and follow the installation documentation.
Process
First of all, we need to extract data from HTML elements. The process of getting the right CSS selectors is fairly easy via SelectorGadget Chrome extension which able us to grab CSS selectors by clicking on the desired element in the browser. However, it is not always working perfectly, especially when the website is heavily used by JavaScript.
We have a dedicated web Scraping with CSS Selectors blog post at SerpApi if you want to know a little bit more about them.
The Gif below illustrates the approach of selecting different parts of the results.
Code explanation
Declare constants from cheerio
and axios
libraries:
const cheerio = require("cheerio");
const axios = require("axios");
Next, we write product ID, the request options: HTTP headers
with User-Agent
which is used to act as a "real" user visit, and the necessary parameters for making a request:
const productId = "8757849604759505625"; // Parameter defines the ID of a product you want to get the results for
const AXIOS_OPTIONS = {
headers: {
"User-Agent":
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/101.0.4951.64 Safari/537.36",
}, // adding the User-Agent header as one way to prevent the request from being blocked
params: {
hl: "en", // parameter defines the language to use for the Google search
gl: "us", // parameter defines the country to use for the Google search
},
};
πNote: Default axios
request user-agent is axios/<axios_version>
so websites understand that it's a script that sends a request and might block it. Check what's your user-agent.
Next, we write a function that makes the request and returns the received data. We received the response from axios
request that has data
key that we destructured and parse it with cheerio
:
function getSellersInfo() {
return axios
.get(`https://www.google.com/shopping/product/${productId}/offers`, AXIOS_OPTIONS)
.then(function ({ data }) {
let $ = cheerio.load(data);
...
})
}
Next, we need to get the different parts of the page using next methods:
title: $(".BvQan")?.text().trim(),
reviews: parseInt($(".HiT7Id > span")?.attr("aria-label")?.replace(",", "") || 0),
rating: parseFloat($(".UzThIf")?.attr("aria-label")),
onlineSellers: Array.from($(".sh-osd__offer-row")).map((el) => ({
name:
$(el).find(".b5ycib")?.text().trim() ||
$(el).find(".kjM2Bf")?.text().trim(),
link:
`https://www.google.com${$(el).find(".b5ycib")?.attr("href") ||
$(el).find(".pCKrrc > a")?.attr("href")}`,
basePrice: $(el).find(".g9WBQb")?.text().trim(),
additionalPrice: {
shipping: $(el).find(".SuutWb tr:nth-child(2) td:last-child")?.text().trim(),
tax: $(el).find(".SuutWb tr:nth-child(3) td:last-child")?.text().trim(),
},
totalPrice: $(el).find(".SuutWb tr:last-child td:last-child")?.text().trim(),
condition: $(el).find(".Yy9sbf")?.text().trim() || "New",
})),
reletedProducts: Array.from($(".xyjbB")).map((el) => ({
title: $(el).find(".YTkbnd")?.text().trim(),
link: `https://www.google.com${$(el).find(".YTkbnd")?.attr("href")}`,
price: $(el).find(".vzbr7d")?.text().trim(),
reviews:
parseInt($(el).find(".HiT7Id span")?.attr("aria-label")?.replace(",", "")) ||
"No reviews",
rating: parseFloat($(el).find(".UzThIf")?.attr("aria-label")) || "No rating",
})),
Now we can launch our parser:
$ node YOUR_FILE_NAME # YOUR_FILE_NAME is the name of your .js file
Output
{
"title":"Apple iPhone 14 Pro Max - 128 GB - Space Black - Unlocked",
"reviews":748,
"rating":4.5,
"onlineSellers":[
{
"name":"AppleOpens in a new window",
"link":"https://www.google.com/url?q=https://www.apple.com/us/shop/go/product/MQ8N3%3Fcppart%3DUNLOCKED%26cid%3Daos-us-seo-pla&sa=U&ved=0ahUKEwj18pvWgp_7AhW6BjQIHasACEEQ2ykIJQ&usg=AOvVaw22XYRR7KYv5JrrFHZOKXPK",
"basePrice":"$1,099.00",
"additionalPrice":{
"shipping":"$0.00",
"tax":"$97.54"
},
"totalPrice":"$1,196.54",
"condition":"New"
},
... and other sellers
],
"reletedProducts":[
{
"title":"iPhone 13 Pro Max 128GB Sierra ...",
"link":"https://www.google.com/shopping/product/10665434407022887951?hl=en&gl=us&prds=epd:17054172175953313994,oid:17054172175953313994,pid:8842852891481692870,rsk:PC_8217023720749633348&sa=X&ved=0ahUKEwj18pvWgp_7AhW6BjQIHasACEEQrRIIbQ",
"price":"$0.00",
"reviews":11327,
"rating":4.5
},
... and other products
]
}
Using Google Product Online Sellers API from SerpApi
This section is to show the comparison between the DIY solution and our solution.
The biggest difference is that you don't need to create the parser from scratch and maintain it.
There's also a chance that the request might be blocked at some point from Google, we handle it on our backend so there's no need to figure out how to do it yourself or figure out which CAPTCHA, proxy provider to use.
First, we need to install google-search-results-nodejs
:
npm i google-search-results-nodejs
Here's the full code example, if you don't need an explanation:
const SerpApi = require("google-search-results-nodejs");
const search = new SerpApi.GoogleSearch(process.env.API_KEY); //your API key from serpapi.com
const params = {
product_id: "8757849604759505625", // Parameter defines the ID of a product you want to get the results for.
engine: "google_product", // search engine
device: "desktop", //Parameter defines the device to use to get the results. It can be set to "desktop" (default), "tablet", or "mobile"
hl: "en", // parameter defines the language to use for the Google search
gl: "us", // parameter defines the country to use for the Google search
offers: true, // parameter for fetching offers results
};
const getJson = () => {
return new Promise((resolve) => {
search.json(params, resolve);
});
};
const getResults = async () => {
const json = await getJson();
return {
...json.product_results,
onlineSellers: json.sellers_results?.online_sellers,
reletedProducts: json.related_products?.different_brand
};
};
getResults().then((result) => console.dir(result, { depth: null }));
Code explanation
First, we need to declare SerpApi
from google-search-results-nodejs
library and define new search
instance with your API key from SerpApi:
const SerpApi = require("google-search-results-nodejs");
const search = new SerpApi.GoogleSearch(API_KEY);
Next, we write the necessary parameters for making a request:
const params = {
product_id: "8757849604759505625", // Parameter defines the ID of a product you want to get the results for.
engine: "google_product", // search engine
device: "desktop", //Parameter defines the device to use to get the results. It can be set to "desktop" (default), "tablet", or "mobile"
hl: "en", // parameter defines the language to use for the Google search
gl: "us", // parameter defines the country to use for the Google search
offers: true, // parameter for fetching offers results
};
Next, we wrap the search method from the SerpApi library in a promise to further work with the search results:
const getJson = () => {
return new Promise((resolve) => {
search.json(params, resolve);
});
};
And finally, we declare the function getResult
that gets data from the page and return it:
const getResults = async () => {
...
};
In this function we get json
with results, and return object with data from received json
using spread syntax
:
const json = await getJson();
return {
...json.product_results,
onlineSellers: json.sellers_results?.online_sellers,
reletedProducts: json.related_products?.different_brand
};
After, we run the getResults
function and print all the received information in the console with the console.dir
method, which allows you to use an object with the necessary parameters to change default output options:
getResults().then((result) => console.dir(result, { depth: null }));
Output
{
"product_id":8757849604759506000,
"title":"Apple iPhone 14 Pro Max - 128 GB - Space Black - Unlocked",
"reviews":748,
"rating":4.5,
"onlineSellers":[
{
"position":1,
"name":"Apple",
"link":"https://www.google.com/url?q=https://www.apple.com/us/shop/go/product/MQ8N3%3Fcppart%3DUNLOCKED%26cid%3Daos-us-seo-pla&sa=U&ved=0ahUKEwiMl-6jip_7AhUZLUQIHTI4DPoQ2ykIJQ&usg=AOvVaw1NkUFFfa7AWk6BcJQut1jp",
"base_price":"$1,099.00",
"additional_price":{
"shipping":"$0.00",
"tax":"$85.17"
},
"total_price":"$1,184.17"
},
... and other sellers
],
"reletedProducts":[
{
"title":"iPhone 13 Pro Max 128GB Sierra ...",
"link":"https://www.google.com/shopping/product/10665434407022887951?hl=en&gl=us&ie=UTF-8&prds=epd:17054172175953313994,oid:17054172175953313994,pid:8842852891481692870,rsk:PC_8217023720749633348&sa=X&ved=0ahUKEwiMl-6jip_7AhUZLUQIHTI4DPoQrhIIaA",
"price":"$0.00"
},
... and other products
]
}
Links
If you want to see some projects made with SerpApi, write me a message.
Add a Feature Requestπ« or a Bugπ
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