Mikhail Zub for SerpApi

Posted on May 23, 2022 • Edited on May 26, 2022

How to scrape Google News with Node.js

#webscraping #node #serpapi #google

What will be scraped

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.

Process

SelectorGadget Chrome extension was used to grab CSS selectors by clicking on the desired element in the browser. If you have any struggles understanding this, we have a dedicated Web Scraping with CSS Selectors blog post at SerpApi.
The Gif below illustrates the approach of selecting different parts of the results.

Full code

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

const searchString = "elon musk";                   // what we want to search
const encodedString = encodeURI(searchString);      // what we want to search for in URI encoding

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: encodedString,                               // our encoded search string        
        tbm: "nws",                                     // parameter defines the type of search you want to do ("nws" means news)
        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 getNewsInfo() {
    return axios
        .get(`http://google.com/search`, AXIOS_OPTIONS)
        .then(function ({ data }) {
            let $ = cheerio.load(data);

            const pattern = /s='(?<img>[^']+)';\w+\s\w+=\['(?<id>\w+_\d+)'];/gm;
            const images = [...data.matchAll(pattern)].map(({ groups }) => ({ id: groups.id, img: groups.img.replace('\\x3d', '') }))

            const allNewsInfo = Array.from($('.WlydOe')).map((el) => {
                return {
                    link: $(el).attr('href'),
                    source: $(el).find('.CEMjEf span').text().trim(),
                    title: $(el).find('.mCBkyc').text().trim().replace('\n', ''),
                    snippet: $(el).find('.GI74Re').text().trim().replace('\n', ''),
                    image: images.find(({ id, img }) => id === $(el).find('.uhHOwf img').attr('id'))?.img || "No image",
                    date: $(el).find('.ZE0LJd span').text().trim(),
                }
            });

            return allNewsInfo;
        });
}

getNewsInfo().then(console.log);

Code explanation

Declare constants from required libraries:

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

Code	Explanation
`cheerio`	library for parsing the html page and access the necessary selectors
`axios`	library for requesting the desired html document

Next, we write in constants what we want to search for and encode our text into a URI string:

const searchString = "elon musk";
const encodedString = encodeURI(searchString);

Code	Explanation
`searchString`	what we want to search
`encodedString`	what we want to search for in URI encoding

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

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",
    },
    params: {
        q: encodedString,       
        tbm: "nws",
        hl: 'en',
        gl: 'us'
    },
};

Code	Explanation
`headers`	HTTP headers let the client and the server pass additional information with an HTTP request or response
`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.
`q`	encoded in URI search query
`tbm`	parameter defines the type of search you want to do ("nws" means news)
`hl`	parameter defines the language to use for the Google search
`gl`	parameter defines the country to use for the Google search

And finally a function to get the necessary information:

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

            const pattern = /s='(?<img>[^']+)';\w+\s\w+=\['(?<id>\w+_\d+)'];/gm;
            const images = [...data.matchAll(pattern)].map(({ groups }) => ({ id: groups.id, img: groups.img.replace('\\x3d', '') }))

            const allNewsInfo = Array.from($('.WlydOe')).map((el) => {
                return {
                    link: $(el).attr('href'),
                    source: $(el).find('.CEMjEf span').text().trim(),
                    title: $(el).find('.mCBkyc').text().trim().replace('\n', ''),
                    snippet: $(el).find('.GI74Re').text().trim().replace('\n', ''),
                    image: images.find(({ id, img }) => id === $(el).find('.uhHOwf img').attr('id'))?.img || "No image",
                    date: $(el).find('.ZE0LJd span').text().trim(),
                }
            });

            return allNewsInfo;
        });
}

Code	Explanation
`function ({ data })`	we received the response from axios request that have `data` key that we destructured (this entry is equal to `function (response)` and in the next line `cheerio.load(response.data)`)
`pattern`	a RegEx pattern for search and define full images. See what it allows you to find
`images`	an array that contains the id of the `img` selector and the image itself
`[...data.matchAll(pattern)]`	in this code we use spread syntax to create an array from an iterator that was returned from matchAll method (in this case this entry is equal to `Array.from(data.matchAll(pattern))`)
`.replace('\\x3d', '')`	in this code we remove `\\x3d` chars from the end of the `base64` image format string to display image properly
`allNewsInfo`	an array with full info about news from page
`.attr('href')`	gets the `href` attribute value of the html element
`$(el).find('.mCBkyc')`	finds element with class name `mCBkyc` in all child elements and their children of `el` html element
`.text()`	gets the raw text of html element
`.trim()`	removes whitespace from both ends of a string

Now we can launch our parser. To do this enter node YOUR_FILE_NAME in your command line. Where YOUR_FILE_NAME is the name of your .js file.

Outputs:

[
   {
      "link":"https://www.newyorker.com/news/q-and-a/why-elon-musk-bought-twitter",
      "source":"The New Yorker",
      "title":"Why Elon Musk Bought Twitter",
      "snippet":"Portrait of Elon Musk looking off to the side. Musk, the C.E.O. of Tesla, has previously had some run-ins with the S.E.C.Source photograph by...",
      "image":"data:image/jpeg;base64,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",
      "date":"2 weeks ago"
   }, ... other results
]

Google News Result API

Alternatively, you can use the Google News Result API from SerpApi. SerpApi is a free API with 100 search per month. If you need more searches, there are paid plans.

The difference is that all that needs to be done is just to iterate over a ready made, structured JSON instead of coding everything from scratch maintaining, figuring out how to bypass blocks from Google, and selecting correct selectors which could be time consuming at times. Check out the playground.

First we need to install google-search-results-nodejs. To do this you need to enter in your console: npm i google-search-results-nodejs

const SerpApi = require("google-search-results-nodejs");
const search = new SerpApi.GoogleSearch(API_KEY);        //your API key from serpapi.com

const searchString = "elon musk";                        // what we want to search

const params = {
  engine: "google",                                     // search engine
  q: searchString,                                      // search query
  google_domain: "google.com",                          // google domain: google.com, google.de, google.fr
  gl: "us",                                             // parameter defines the country to use for the Google search
  hl: "en",                                             // Parameter defines the language to use for the Google search
  tbm: "nws"                                            // parameter defines the type of search you want to do ("nws" means news)
};

const getNewsData = function ({ news_results }) {
  return news_results.map((result) => {
    const { link, title, source, date, snippet, thumbnail: image = "No image" } = result;
    return {
      link,
      source,
      title: title.replace('\n', ''),
      snippet: snippet.replace('\n', ''),
      image,
      date,
    }
  })
};

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

getJson(params).then(getNewsData).then(console.log)

Code explanation

Declare constants from required libraries:

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

Code	Explanation
`SerpApi`	SerpApi Node.js library
`search`	new instance of GoogleSearch class
`API_KEY`	your API key from SerpApi

Next, we write down what we want to search and the necessary parameters for making a request:

const searchString = "elon musk";

const params = {
  engine: "google",
  q: searchString,
  google_domain: "google.com",
  gl: "us",
  hl: "en",
  tbm: "nws"

Code	Explanation
`searchString`	what we want to search
`engine`	search engine
`q`	search query
`google_domain`	google domain: google.com, google.de, google.fr
`gl`	parameter defines the country to use for the Google search
`hl`	parameter defines the language to use for the Google search
`tbm`	parameter defines the type of search you want to do ("nws" means news)

Next, we write a callback function in which we describe what data we need from the result of our request:

const getNewsData = function ({ news_results }) {
  return news_results.map((result) => {
    const { link, title, source, date, snippet, thumbnail: image = "No image" } = result;
    return {
      link,
      source,
      title: title.replace('\n', ''),
      snippet: snippet.replace('\n', ''),
      image,
      date,
    }
  })
};

Code	Explanation
`news_results`	an array that we destructured from response
`link, title, source, date, snippet, thumbnail`	other data that we destructured from element of news_results array
`thumbnail: image = "No image"`	we redefine destructured data `thumbnail` to new `image` and set default value `No image` if `thumbnail` is `undefined`
`replace('\n', '')`	in this code we remove new line symbol

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

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

getJson(params).then(getNewsData).then(console.log)

Outputs:

[
   {
      "link":"https://nypost.com/2022/05/13/elon-musk-backs-gop-bid-to-strip-disney-of-mickey-mouse-copyright/",
      "source":"New York Post",
      "title":"Elon Musk backs GOP bid to strip Disney of Mickey Mouse copyright",
      "snippet":"Elon Musk appeared to voice his support for a Republican senator's efforts \n""+""to strip The Walt Disney Co. of its copyright of Mickey Mouse.",
      "image":"https://serpapi.com/searches/627e67d93c3fb22215607d9e/images/22b0f5e214e9045c6dc1c6c683cc0b1468248a0cb118e82ed3c7f8900a359195.jpeg",
      "date":"17 mins ago"
   }, ... other results
]

Links

If you want to see how to do the same with using pagination or you want to see some project made with SerpApi, please write me a message.

Join us on Twitter | YouTube

Add a Feature Request💫 or a Bug🐞

DEV Community

How to scrape Google News with Node.js

What will be scraped

Preparation

Process

Full code

Code explanation

Google News Result API

Code explanation

Links

Top comments (0)

Read next

Handling File Uploads in Node.js with Multer: A Comprehensive Guide

The mysterious supply chain concern of string-width-cjs npm package

JavaScript Meta Programming: In-Depth Guide on Proxy, Reflect, and Object Property Control

How To Deploy a Node.js Web App on Azure DevOps: A Step-by-Step Guide