Web Scraping Google Images with Nodejs
Tags: webscraping, node, serpapi
Published: 2022-09-27 15:18:56

<h2 id='intro'>Intro</h2>

In this blog post, I want to show how you can extract images from Google Images. I'll show you two different DIY solutions and a ready-made solution from SerpApi and explain the difference between these solutions.

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

![what](https://user-images.githubusercontent.com/64033139/190191430-62cda397-172f-4869-af60-85347348f039.png)

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

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](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.

![how](https://user-images.githubusercontent.com/64033139/190192003-777db08d-d2e1-4904-b202-e473aa363102.gif)

<h2 id='full_code'>Solution one (using the raw HTML from request)</h2>

📌Note: this solution is fast but it allows to receive images only from the first results page.

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-Images-Tab-with-NodeJS-SerpApi#withCheerio.js)

```javascript
const cheerio = require("cheerio");
const axios = require("axios");

const searchString = "bugatti chiron"; // what we want to search

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: {
    q: searchString, // our encoded search string
    hl: "en", // parameter defines the language to use for the Google search
    gl: "us", // parameter defines the country to use for the Google search
    tbm: "isch", // parameter defines the type of search you want to do (isch - Google Images)
  },
};

function getGoogleImagesResults() {
  return axios.get("http://google.com/search", AXIOS_OPTIONS).then(function ({ data }) {
    let $ = cheerio.load(data);

    const imagesRawPattern = /AF_initDataCallback\((?<images>[^<]+)\);/gm; //https://regex101.com/r/74JN5w/1
    let imagesRaw = [...data.matchAll(imagesRawPattern)].map(({ groups }) => groups.images);

    imagesRaw = imagesRaw.length > 1 ? imagesRaw[1] : imagesRaw[0];

    eval(`imagesRaw = ${imagesRaw}`);

    imagesRaw = JSON.stringify(imagesRaw);

    const imagesPattern = /\[\"GRID_STATE0\",null,\[\[1,\[0,\".*?\",(?<images>.*),\"All\",/gm; //https://regex101.com/r/qXqmKz/1
    let images = [...imagesRaw.matchAll(imagesPattern)].map(({ groups }) => groups.images)[0];

    const thumbnailsPattern = /\[\"(?<thumbnail>https\:\/\/encrypted-tbn0\.gstatic\.com\/images\?.*?)\",\d+,\d+\]/gm; // https://regex101.com/r/Ms61BF/1
    const thumbnails = [...images.matchAll(thumbnailsPattern)].map(({ groups }) => groups.thumbnail);

    images = images.replace(thumbnailsPattern, "");

    const originalsPattern = /('|,)\[\"(?<original>https|http.*?)\",\d+,\d+\]/gm; // https://regex101.com/r/sA9I4E/1
    const originals = [...images.matchAll(originalsPattern)].map(({ groups }) => groups.original);

    return Array.from($(".PNCib.MSM1fd")).map((el, i) => ({
      title: $(el).find(".VFACy").attr("title"),
      link: $(el).find(".VFACy").attr("href"),
      source: $(el).find(".fxgdke").text(),
      original: originals[i],
      thumbnail: thumbnails[i],
    }));
  });
}

getGoogleImagesResults().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 [`cheerio`](https://www.npmjs.com/package/cheerio) to parse parts of the HTML markup, and [`axios`](https://www.npmjs.com/package/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`.

\*<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>

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

Declare constants from [`cheerio`](https://www.npmjs.com/package/cheerio) and [`axios`](https://www.npmjs.com/package/axios) libraries:

```javascript
const cheerio = require("cheerio");
const axios = require("axios");
```

Next, we write what we want to search for, [`HTTP headers`](https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers) with [`User-Agent`](https://developer.mozilla.org/en-US/docs/Glossary/User_agent) (is used to act as a "real" user visit. Default axios requests user-agent is `axios/0.27.2` so websites understand that it's a script that sends a request and might block it. [Check what's your user-agent](https://www.whatismybrowser.com/detect/what-is-my-user-agent/)), and the necessary parameters for making a request:

```javascript
const searchString = "bugatti chiron"; // what we want to search

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: {
    q: searchString, // our encoded search string
    hl: "en", // parameter defines the language to use for the Google search
    gl: "us", // parameter defines the country to use for the Google search
    tbm: "isch", // parameter defines the type of search you want to do (isch - Google Images)
  },
};
```

Next, we write a function that makes the request and returns the received data. We received the response from [`axios`](https://www.npmjs.com/package/axios) request that has `data` key that we [destructured](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Operators/Destructuring_assignment) and parse it with [`cheerio`](https://www.npmjs.com/package/cheerio):

```javascript
function getGoogleImagesResults() {
  return axios.get("http://google.com/search", AXIOS_OPTIONS).then(function ({ data }) {
    let $ = cheerio.load(data);
    ...
  })
}
```

Then, we need to get and clear the part of HTML that contain images data. First, we define [`imagesRawPattern`](https://regex101.com/r/74JN5w/1), then using [`spread syntax`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Operators/Spread_syntax) we make an array from an [iterable iterator](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Iterators_and_Generators) of matches, received from [`matchAll`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/matchAll) method.

Next, we take the first or second match result (depending on page context), execute it (using [`eval()`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/eval) method) to get an object from the string and make a valid JSON string (we need to do this because the starter `imagesRaw` string has encoded symbols(e.g. '\u0026'), and when we execute it the string is decoded):

```javascript
const imagesRawPattern = /AF_initDataCallback\((?<images>[^<]+)\);/gm; //https://regex101.com/r/74JN5w/1
let imagesRaw = [...data.matchAll(imagesRawPattern)].map(({ groups }) => groups.images);

imagesRaw = imagesRaw.length > 1 ? imagesRaw[1] : imagesRaw[0];

eval(`imagesRaw = ${imagesRaw}`);

imagesRaw = JSON.stringify(imagesRaw);
```

Then, using the different Regex patterns we get `images` string, and `thumbnails` and `originals` arrays (to find originals, we need to remove thumbnails links from `images` string with [`replace()`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/replace) method):

```javascript
const imagesPattern = /\[\"GRID_STATE0\",null,\[\[1,\[0,\".*?\",(?<images>.*),\"All\",/gm; //https://regex101.com/r/qXqmKz/1
let images = [...imagesRaw.matchAll(imagesPattern)].map(({ groups }) => groups.images)[0];

const thumbnailsPattern = /\[\"(?<thumbnail>https\:\/\/encrypted-tbn0\.gstatic\.com\/images\?.*?)\",\d+,\d+\]/gm; // https://regex101.com/r/Ms61BF/1
const thumbnails = [...images.matchAll(thumbnailsPattern)].map(({ groups }) => groups.thumbnail);

images = images.replace(thumbnailsPattern, "");

const originalsPattern = /('|,)\[\"(?<original>https|http.*?)\",\d+,\d+\]/gm; // https://regex101.com/r/sA9I4E/1
const originals = [...images.matchAll(originalsPattern)].map(({ groups }) => groups.original);
```

And finally, we need to get `title`, `link` and `source` of each images from the HTML selectors (using [`$()`](https://api.jquery.com/class-selector/), [`find()`](https://api.jquery.com/find/), [`attr()`](https://api.jquery.com/attr/) and [`text()`](https://api.jquery.com/text/) methods) and combine it with `original` and `thumbnail`:

```javascript
return Array.from($(".PNCib.MSM1fd")).map((el, i) => ({
  title: $(el).find(".VFACy").attr("title"),
  link: $(el).find(".VFACy").attr("href"),
  source: $(el).find(".fxgdke").text(),
  original: originals[i],
  thumbnail: thumbnails[i],
}));
```

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
[
   {
      "title":"Bugatti Chiron - Wikipedia",
      "link":"https://en.wikipedia.org/wiki/Bugatti_Chiron",
      "source":"en.wikipedia.org",
      "original":"https://upload.wikimedia.org/wikipedia/commons/thumb/6/62/Bugatti_Chiron_%2836559710091%29.jpg/1200px-Bugatti_Chiron_%2836559710091%29.jpg",
      "thumbnail":"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQtn09W1RkuFRfj8Gbfj16Jt_ZnQ8vsvZRGBOfO3gOnUPrprSUH3nuFcOz-VdKk1bHGgdI&usqp=CAU"
   },
   {
      "title":"Bugatti Chiron: Breaking new dimensions",
      "link":"https://www.bugatti.com/chiron/",
      "source":"bugatti.com",
      "original":"https://www.bugatti.com/fileadmin/_processed_/sei/p54/se-image-4799f9106491ebb58ca3351f6df5c44a.jpg",
      "thumbnail":"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQ-usS_C6OB_O4_0QgQsrQlTZXl4n_ouoyrpKBHObK0OgvEgNB0W3lS9EIJdLnm_1WrJy0&usqp=CAU"
   },
   ... and other results
]
```

<h2 id='full_code'>Solution two (using browser automation with Puppeteer)</h2>

📌Note: this solution is much slower but it allows to receive all images from all results pages (using the infinite scroll).

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-Images-Tab-with-NodeJS-SerpApi#withPuppeteer.js)

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

puppeteer.use(StealthPlugin());

const searchQuery = "bugatti chiron";

async function getImagesData(page) {
  const imagesResults = [];
  let iterationsLength = 0;
  while (true) {
    const images = await page.$$(".OcgH4b .PNCib.MSM1fd");
    for (; iterationsLength < images.length; iterationsLength++) {
      images[iterationsLength].click();
      await page.waitForTimeout(2000);
      imagesResults.push(
        await page.evaluate(
          (iterationsLength) => ({
            thumbnail: document.querySelectorAll(".OcgH4b .PNCib.MSM1fd")[iterationsLength].querySelector(".Q4LuWd")?.getAttribute("src"),
            source: document.querySelectorAll(".OcgH4b .PNCib.MSM1fd")[iterationsLength].querySelector(".VFACy div")?.textContent.trim(),
            title: document.querySelectorAll(".OcgH4b .PNCib.MSM1fd")[iterationsLength].querySelector("h3")?.textContent.trim(),
            link: document.querySelectorAll(".OcgH4b .PNCib.MSM1fd")[iterationsLength].querySelector(".VFACy")?.getAttribute("href"),
            original: Array.from(document.querySelectorAll(".eHAdSb .n3VNCb"))
              .find((el) => !el.getAttribute("src").includes("data:image") && !el.getAttribute("src").includes("gstatic.com"))
              ?.getAttribute("src"),
          }),
          iterationsLength
        )
      );
    }
    await page.waitForTimeout(5000);
    const newImages = await page.$$(".OcgH4b .PNCib.MSM1fd");
    if (newImages.length === images.length) break;
  }
  return imagesResults;
}

async function getGoogleImagesResults() {
  const browser = await puppeteer.launch({
    headless: false,
    args: ["--no-sandbox", "--disable-setuid-sandbox"],
  });

  const URL = `https://www.google.com/search?q=${encodeURI(searchQuery)}&tbm=isch&hl=en&gl=es`;

  const page = await browser.newPage();

  await page.setDefaultNavigationTimeout(60000);
  await page.goto(URL);
  await page.waitForSelector(".PNCib");

  const imagesResults = await getImagesData(page);

  await browser.close();

  return imagesResults;
}

getGoogleImagesResults().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 `npm init -y`, and then `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)

<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` and write what we want to search:

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

const searchQuery = "bugatti chiron";
```

Next, we write a function to get images data from the Google Search page:

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

In this function, first, we create the empty `imagesResults` array and set `iterationsLength` equal to "0":

```javascript
const imagesResults = [];
let iterationsLength = 0;
```

Next, we use the `while` loop in which we need to get all images (using [`$$`](https://pptr.dev/api/puppeteer.page.__) method), click (using [`click()`](https://pptr.dev/api/puppeteer.elementhandle.click) method) on the each image, wait 2 seconds (using [`waitForTimeout`](https://pptr.dev/api/puppeteer.page.waitfortimeout) method) and add image data to the end of the `imagesResults` array (using [`push()`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/push) method):

```javascript
  while (true) {
    const images = await page.$$(".OcgH4b .PNCib.MSM1fd");
    for (; iterationsLength < images.length; iterationsLength++) {
      images[iterationsLength].click();
      await page.waitForTimeout(2000);
      imagesResults.push(
        ...
      );
    }
    ...
  }
  return imagesResults;
```

Then, we get all image data from the page using [`evaluate()`](https://pptr.dev/api/puppeteer.page.evaluate) method and pass `iterationsLength` variable to the page context:

```javascript
await page.evaluate((iterationsLength) => ({
...
}), iterationsLength)
```

Next, we get need information from HTML selectors. We can do this with [`querySelectorAll()`](https://developer.mozilla.org/en-US/docs/Web/API/Document/querySelectorAll) methods to get access to right HTML selectors, [`textContent`](https://developer.mozilla.org/en-US/docs/Web/API/Node/textContent) and [`trim()`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/trim) methods, which get the raw text and removes white space from both sides of the string. If we need to get links, we use [`getAttribute()`](https://developer.mozilla.org/en-US/docs/Web/API/Element/getAttribute) method to get `"href"` or `"src"` HTML element attribute, and finally [`find()`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/find) method to get the right selector from an array of the same selectors:

```javascript
    thumbnail: document.querySelectorAll(".OcgH4b .PNCib.MSM1fd")[iterationsLength].querySelector(".Q4LuWd")?.getAttribute("src"),
    source: document.querySelectorAll(".OcgH4b .PNCib.MSM1fd")[iterationsLength].querySelector(".VFACy div")?.textContent.trim(),
    title: document.querySelectorAll(".OcgH4b .PNCib.MSM1fd")[iterationsLength].querySelector("h3")?.textContent.trim(),
    link: document.querySelectorAll(".OcgH4b .PNCib.MSM1fd")[iterationsLength].querySelector(".VFACy")?.getAttribute("href"),
    original: Array.from(document.querySelectorAll(".eHAdSb .n3VNCb"))
        .find((el) => !el.getAttribute("src").includes("data:image") && !el.getAttribute("src").includes("gstatic.com"))
        ?.getAttribute("src"),
```

Next, we wait 5 seconds until new images are loaded, get all images again and check if the length of the `newImages` array is the same as the length of the `images` array we stop the loop, otherwise repeat the loop again:

```javascript
await page.waitForTimeout(5000);
const newImages = await page.$$(".OcgH4b .PNCib.MSM1fd");
if (newImages.length === images.length) break;
```

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

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

In this function first we need to define `browser` using `puppeteer.launch({options})` method with current `options`, such as `headless: false` 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({
  headless: false,
  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(".PNCib");
```

Then, we wait until the `getImagesData` functions was finished and save the results of this function to the `imagesResults` constant:

```javascript
const imagesResults = await getImagesData(page);
```

And finally, we close the browser, and return the received data:

```javascript
await browser.close();

return imagesResults;
```

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>

📌Note: some of the picture's thumbnails are present in the `base64` format and some is a links to the thumbnail.

```json
[
   {
      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",
      "source":"caranddriver.com",
      "title":"El Bugatti Chiron Super Sport se pone a tono: Objetivo, los ¡440 km/h!",
      "link":"https://www.caranddriver.com/es/coches/planeta-motor/a36812435/bugatti-chiron-super-sport-pruebas-velocidad/",
      "original":"https://hips.hearstapps.com/hmg-prod.s3.amazonaws.com/images/02-hispeed-css-1624449602.jpg"
   },
   {
      "thumbnail":"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcS3xUD75WQBPu68wKkS9yGm7Yla62hRKuv4kQ&usqp=CAU",
      "source":"motor.es",
      "title":"El Bugatti Chiron Super Sport, a la caza de nuevos clientes en la Costa Azul",
      "link":"https://www.motor.es/noticias/bugatti-chiron-super-sport-costa-azul-202180151.html",
      "original":"https://static.motor.es/fotos-noticias/2021/08/bugatti-chiron-super-sport-202180151-1628105578_1.jpg"
   }
   ... and other results
]
```

<h2 id='serp_api'>Using<a href="https://serpapi.com/images-results"> Google Images API </a>from SerpApi</h2>

This section is to show the comparison between the DIY solutions and our solution.

The biggest difference is that you don't need to use browser automation to scrape all results, create the parser from scratch and maintain it.

This solution combines the advantages of the solutions shown above, namely the speed and completeness of obtaining results.

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-Images-Tab-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 searchQuery = "bugatti chiron";

const params = {
  q: searchQuery, // what we want to search
  engine: "google", // search engine
  hl: "en", // parameter defines the language to use for the Google search
  gl: "us", // parameter defines the country to use for the Google search
  tbm: "isch", // parameter defines the type of search you want to do (isch - Google Images)
};

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

const getResults = async () => {
  const imagesResults = [];
  while (true) {
    const json = await getJson();
    if (json.images_results) {
      imagesResults.push(...json.images_results);
      params.ijn ? (params.ijn += 1) : (params.ijn = 1);
    } else break;
  }
  return imagesResults;
};

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 what we want to search and the necessary parameters for making a request:

```javascript
const searchQuery = "bugatti chiron";

const params = {
  q: searchQuery, // what we want to search
  engine: "google", // search engine
  hl: "en", // parameter defines the language to use for the Google search
  gl: "us", // parameter defines the country to use for the Google search
  tbm: "isch", // parameter defines the type of search you want to do (isch - Google Images)
};
```

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 first, we declare an array `imagesResults` with results data:

```javascript
const imagesResults = [];
```

Next, we need to use `while` loop. In this loop we get `json` with results, check if results are present on the page, push results to `imagesResults` array, define the start number on the results page (`ijn` parameter), and repeat the loop until results aren't present on the page:

```javascript
while (true) {
  const json = await getJson();
  if (json.images_results) {
    imagesResults.push(...json.images_results);
    params.ijn ? (params.ijn += 1) : (params.ijn = 1);
  } else break;
}
return imagesResults;
```

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
[
   {
      "position":1,
      "thumbnail":"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcT-6pU_hnLtboVfXcuihXvzyP8xRsDJ8fs3zw&usqp=CAU",
      "source":"topspeed.com",
      "title":"2018 Bugatti Chiron | Top Speed",
      "link":"https://www.topspeed.com/cars/bugatti/2018-bugatti-chiron-ar163150.html",
      "original":"https://pictures.topspeed.com/IMG/crop_webp/201602/2018-bugatti-chiron-10_1920x1080.webp",
      "is_product":false
   },
   {
      "position":2,
      "thumbnail":"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR_1JAV4au_ZTCjcPk41Ul9blo0XHsJwxt50Q&usqp=CAU",
      "source":"auto-data.net",
      "title":"2021 Bugatti Chiron Super Sport 8.0 W16 (1600 Hp) AWD DSG | Technical  specs, data, fuel consumption, Dimensions",
      "link":"https://www.auto-data.net/en/bugatti-chiron-super-sport-8.0-w16-1600hp-awd-dsg-43596",
      "original":"https://www.auto-data.net/images/f115/Bugatti-Chiron-Super-Sport.jpg",
      "is_product":false
   },
   ... and other results
]
```

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

- [Code in the online IDE](https://replit.com/@MikhailZub/Scrape-Google-Images-Tab-with-NodeJS-SerpApi#index.js)
- [Google Images API](https://serpapi.com/images-results)

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

---

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