Web scraping Google Shopping Product Nearby Sellers with Nodejs
Tags: webscraping, node, serpapi
Published: 2022-12-02 09:33:52

<h2 id='what'>What will be scraped</h2>

![what](https://user-images.githubusercontent.com/64033139/201143783-07aebb08-01b9-41ce-a73e-f89e5562b0c3.png)

<h2 id='full_code'>Full code</h2>

If you don't need an explanation, have a look at [the full code example in the online IDE](https://replit.com/@MikhailZub/Scrape-Google-Shopping-Nearby-Sellers-with-NodeJS-SerpApi#withPuppeteer.js)

```javascript
cconst puppeteer = require("puppeteer-extra");
const StealthPlugin = require("puppeteer-extra-plugin-stealth");

puppeteer.use(StealthPlugin());

const searchParams = {
  id: "16230039729797264158", // Parameter defines the ID of a product you want to get the results for
  hl: "en", // Parameter defines the language to use for the Google search
  gl: "us", // parameter defines the country to use for the Google search
};

const URL = `https://www.google.com/shopping/product/${searchParams.id}/offers?hl=${searchParams.hl}&gl=${searchParams.gl}`;

async function getSellersInfo(page) {
  return await page.evaluate(() => {
    return {
      productResults: {
        title: document.querySelector(".BvQan")?.textContent.trim(),
        reviews: parseInt(document.querySelector(".HiT7Id > span")?.getAttribute("aria-label").replace(",", "")),
        rating: parseFloat(document.querySelector(".UzThIf")?.getAttribute("aria-label")),
      },
      nearbySellers: Array.from(document.querySelectorAll(".sh-osd__offer-row")).map((el) => ({
        name: el.querySelector(".b5ycib")?.textContent.trim() || el.querySelector(".kjM2Bf")?.textContent.trim(),
        link: `https://www.google.com${el.querySelector(".b5ycib")?.getAttribute("href") || el.querySelector(".pCKrrc > a")?.getAttribute("href")}`,
        basePrice: el.querySelector(".g9WBQb")?.textContent.trim(),
        additionalPrice: {
          shipping: el.querySelector(".SuutWb tr:nth-child(2) td:last-child")?.textContent.trim(),
          tax: el.querySelector(".SuutWb tr:nth-child(3) td:last-child")?.textContent.trim(),
        },
        totalPrice: el.querySelector(".SuutWb tr:last-child td:last-child")?.textContent.trim(),
        condition: el.querySelector(".Yy9sbf")?.textContent.trim() || "New",
      })),
    };
  });
}

async function getNearbySellers() {
  const browser = await puppeteer.launch({
    headless: true, // if you want to see what the browser is doing, you need to change this option to "false"
    args: ["--no-sandbox", "--disable-setuid-sandbox"],
  });

  const page = await browser.newPage();

  await page.setDefaultNavigationTimeout(60000);
  await page.goto(URL);

  await page.waitForSelector("#sh-oo__filters-wrapper");

  await page.click("#sh-oo__filters-wrapper > div:first-child a");
  await page.waitForTimeout(5000);

  const sellers = { productId: searchParams.id, ...(await getSellersInfo(page)) };

  await browser.close();

  return sellers;
}

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

<h2 id='preparation'>Preparation</h2>

First, we need to create a Node.js\* project and add [`npm`](https://www.npmjs.com/) packages [`puppeteer`](https://www.npmjs.com/package/puppeteer), [`puppeteer-extra`](https://www.npmjs.com/package/puppeteer-extra) and [`puppeteer-extra-plugin-stealth`](https://www.npmjs.com/package/puppeteer-extra-plugin-stealth) to control Chromium (or Chrome, or Firefox, but now we work only with Chromium which is used by default) over the [DevTools Protocol](https://chromedevtools.github.io/devtools-protocol/) in [headless](https://developers.google.com/web/updates/2017/04/headless-chrome) or non-headless mode.

To do this, in the directory with our project, open the command line and enter:

```bash
$ npm init -y
```

And then:

```bash
$ npm i puppeteer puppeteer-extra puppeteer-extra-plugin-stealth
```

\*<span style="font-size: 15px;">If you don't have Node.js installed, you can [download it from nodejs.org](https://nodejs.org/en/) and follow the installation [documentation](https://nodejs.dev/learn/introduction-to-nodejs).</span>

📌Note: also, you can use `puppeteer` without any extensions, but I strongly recommended use it with `puppeteer-extra` with `puppeteer-extra-plugin-stealth` to prevent website detection that you are using headless Chromium or that you are using [web driver](https://www.w3.org/TR/webdriver/). You can check it on [Chrome headless tests website](https://intoli.com/blog/not-possible-to-block-chrome-headless/chrome-headless-test.html). The screenshot below shows you a difference.

![stealth](https://user-images.githubusercontent.com/64033139/173014238-eb8450d7-616c-42ae-8b2f-24eeb5fd5916.png)

<h2 id='process'>Process</h2>

We need to extract data from HTML elements. The process of getting the right CSS selectors is fairly easy via [SelectorGadget Chrome extension](https://selectorgadget.com/) 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](https://serpapi.com/blog/web-scraping-with-css-selectors-using-python/#css_gadget) 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 using SelectorGadget.

![how](https://user-images.githubusercontent.com/64033139/201144157-6c5dbdd9-9112-4916-818e-a2768dd947af.gif)

<h3 id='code_explanation'>Code explanation</h3>

Declare [`puppeteer`](https://www.npmjs.com/package/puppeteer-extra) to control Chromium browser from `puppeteer-extra` library and [`StealthPlugin`](https://www.npmjs.com/package/puppeteer-extra-plugin-stealth) to prevent website detection that you are using [web driver](https://www.w3.org/TR/webdriver/) from `puppeteer-extra-plugin-stealth` library:

```javascript
const puppeteer = require("puppeteer-extra");
const StealthPlugin = require("puppeteer-extra-plugin-stealth");
```

Next, we "say" to `puppeteer` use `StealthPlugin`, write the necessary request parameters and search URL:

```javascript
puppeteer.use(StealthPlugin());

const searchParams = {
  id: "16230039729797264158", // Parameter defines the ID of a product you want to get the results for
  hl: "en", // Parameter defines the language to use for the Google search
  gl: "us", // parameter defines the country to use for the Google search
};

const URL = 
    `https://www.google.com/shopping/product/${searchParams.id}/offers?hl=${searchParams.hl}&gl=${searchParams.gl}`;
```

Next, we write a function to get product info from the page:

```javascript
async function getSellersInfo(page) {
  ...
}
```

In this function we get information from the page context (using [`evaluate()`](https://pptr.dev/api/puppeteer.page.evaluate) method) and save it in the returned object:

```javascript
return await page.evaluate(() => ({
    ...
}));
```

Next, we need to get the different parts of the page using next methods:

- [`querySelectorAll()`](https://developer.mozilla.org/en-US/docs/Web/API/Document/querySelectorAll);
- [`querySelector()`](https://developer.mozilla.org/en-US/docs/Web/API/Document/querySelector);
- [`getAttribute()`](https://developer.mozilla.org/en-US/docs/Web/API/Element/getAttribute);
- [`textContent`](https://developer.mozilla.org/en-US/docs/Web/API/Node/textContent);
- [`trim()`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/trim);
- [`Array.from()`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/from);
- [`replace()`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/replace);
- [`parseInt()`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/parseInt);
- [`parseFloat()`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/parseFloat).

```javascript
productResults: {
    title: document.querySelector(".BvQan")?.textContent.trim(),
    reviews: 
        parseInt(
            document.querySelector(".HiT7Id > span")
                ?.getAttribute("aria-label")
                .replace(",", "")
        ),
    rating: 
        parseFloat(document.querySelector(".UzThIf")?.getAttribute("aria-label")),
},
nearbySellers: Array.from(document.querySelectorAll(".sh-osd__offer-row")).map((el) => ({
    name: 
        el.querySelector(".b5ycib")?.textContent.trim() ||
        el.querySelector(".kjM2Bf")?.textContent.trim(),
    link: 
        `https://www.google.com${el.querySelector(".b5ycib")?.getAttribute("href") ||
         el.querySelector(".pCKrrc > a")?.getAttribute("href")}`,
    basePrice: el.querySelector(".g9WBQb")?.textContent.trim(),
    additionalPrice: {
        shipping: 
            el.querySelector(".SuutWb tr:nth-child(2) td:last-child")?.textContent.trim(),
        tax: el.querySelector(".SuutWb tr:nth-child(3) td:last-child")?.textContent.trim(),
    },
    totalPrice: el.querySelector(".SuutWb tr:last-child td:last-child")?.textContent.trim(),
    condition: el.querySelector(".Yy9sbf")?.textContent.trim() || "New",
})),
```

Next, write a function to control the browser, and get information:

```javascript
async function getNearbySellers() {
  ...
}
```

In this function first we need to define `browser` using `puppeteer.launch({options})` method with current `options`, such as `headless: true` and `args: ["--no-sandbox", "--disable-setuid-sandbox"]`.

These options mean that we use [headless](https://developers.google.com/web/updates/2017/04/headless-chrome) mode and array with [arguments](https://peter.sh/experiments/chromium-command-line-switches/) which we use to allow the launch of the browser process in the online IDE. And then we open a new `page`:

```javascript
const browser = await puppeteer.launch({
    // if you want to see what the browser is doing, you need to change this option to "false"
  headless: true, 
  args: ["--no-sandbox", "--disable-setuid-sandbox"],
});

const page = await browser.newPage();
```

Next, we change default ([30 sec](https://github.com/puppeteer/puppeteer/blob/2a0eefb99f0ae00dacc9e768a253308c0d18a4c3/src/common/TimeoutSettings.ts#L17)) time for waiting for selectors to 60000 ms (1 min) for slow internet connection with [`.setDefaultNavigationTimeout()`](https://pptr.dev/api/puppeteer.page.setdefaultnavigationtimeout) method, go to `URL` with [`.goto()`](https://pptr.dev/api/puppeteer.page.goto) method and use [`.waitForSelector()`](https://pptr.dev/api/puppeteer.page.waitforselector) method to wait until the selector is load:

```javascript
await page.setDefaultNavigationTimeout(60000);
await page.goto(URL);
await page.waitForSelector("#sh-oo__filters-wrapper");
```

And finally, we save sellers data from the page in the `sellers` constant (using [`spread syntax`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Operators/Spread_syntax)), close the browser, and return the received data:

```javascript
const sellers = { 
    productId: searchParams.id,
    ...(await getSellersInfo(page)) 
};

await browser.close();

return sellers;
```

Now we can launch our parser:

```bash
$ node YOUR_FILE_NAME # YOUR_FILE_NAME is the name of your .js file
```

<h2 id='output'>Output</h2>

```json
{
  "productId": "16230039729797264158",
  "productResults": {
    "title": "Sony PlayStation 5 - Standard",
    "reviews": 63413,
    "rating": 4.5
  },
  "nearbySellers": [
    {
        "name":"Gamestop",
        "link":"https://www.google.com/url?q=https://www.gamestop.com/consoles-hardware/playstation-5/consoles/products/sony-playstation-5-console/225169.html%3Futm_source%3Dgoogle%26utm_medium%3Dfeeds%26utm_campaign%3Dunpaid_listings%26a%3D1&sa=U&ved=0ahUKEwiA6-mqkqT7AhXlFlkFHSmeDQ0Q2ykIJA&usg=AOvVaw3RHvMEi5wupRSbkZ3jmicw",
        "basePrice":"$499.99",
        "additionalPrice":{
        "shipping":"See website"
        },
        "totalPrice":"$499.99"
    },
      ...and other sellers
  ]
}
```

<h2 id='serp_api'>Using<a href="https://serpapi.com/local-sellers"> Google Product Local Sellers API </a>from SerpApi</h2>

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`](https://www.npmjs.com/package/google-search-results-nodejs):

```bash
npm i google-search-results-nodejs
```

Here's the [full code example](https://replit.com/@MikhailZub/Scrape-Google-Shopping-Nearby-Sellers-with-NodeJS-SerpApi#withSerpApi.js), if you don't need an explanation:

```javascript
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: "16230039729797264158", // 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
  filter: "flocal:1", // parameter for fetching nearby sellers
};

const getJson = () => {
  return new Promise((resolve) => {
    search.json(params, resolve);
  });
};

const getResults = async () => {
  const json = await getJson();
  return { ...json.product_results, nearbySellers: json.sellers_results?.online_sellers };
};

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

<h3 id='serp_api_code_explanation'>Code explanation</h3>

First, we need to declare `SerpApi` from [`google-search-results-nodejs`](https://www.npmjs.com/package/google-search-results-nodejs) library and define new `search` instance with your API key from [SerpApi](https://serpapi.com/manage-api-key):

```javascript
const SerpApi = require("google-search-results-nodejs");
const search = new SerpApi.GoogleSearch(API_KEY);
```

Next, we write the necessary parameters for making a request:

```javascript
const params = {
  product_id: "16230039729797264158", // 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
  filter: "flocal:1", // parameter for fetching nearby sellers
};
```

Next, we wrap the search method from the SerpApi library in a promise to further work with the search results:

```javascript
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:

```javascript
const getResults = async () => {
  ...
};
```

In this function we get `json` with results, and return object with data from received `json` using [`spread syntax`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Operators/Spread_syntax):

```javascript
const json = await getJson();
return { 
    ...json.product_results,
     nearbySellers: json.sellers_results?.online_sellers
};
```

After, we run the `getResults` function and print all the received information in the console with the [`console.dir`](https://nodejs.org/api/console.html#consoledirobj-options) method, which allows you to use an object with the necessary parameters to change default output options:

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

<h2 id='serp_api_output'>Output</h2>

```json
{
   "product_id":16230039729797263000,
   "title":"Sony PlayStation 5 - Standard",
   "reviews":63413,
   "rating":4.5,
   "nearbySellers":[
      {
         "position":1,
         "name":"Gamestop",
         "link":"https://www.google.com/url?q=https://www.gamestop.com/consoles-hardware/playstation-5/consoles/products/sony-playstation-5-console/225169.html%3Futm_source%3Dgoogle%26utm_medium%3Dfeeds%26utm_campaign%3Dunpaid_listings%26a%3D1&sa=U&ved=0ahUKEwiA6-mqkqT7AhXlFlkFHSmeDQ0Q2ykIJA&usg=AOvVaw3RHvMEi5wupRSbkZ3jmicw",
         "base_price":"$499.99",
         "additional_price":{
            "shipping":"See website"
         },
         "total_price":"$499.99"
      },
    ...and other sellers
   ]
}
```

<h2 id='links'>Links</h2>

- [Code in the online IDE](https://replit.com/@MikhailZub/Scrape-Google-Shopping-Nearby-Sellers-with-NodeJS-SerpApi#index.js)
- [Google Product Local Sellers API](https://serpapi.com/local-sellers)

If you want to see some projects made with SerpApi, [write me a message](mailto:miha01012019@gmail.com).

---

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