Web Scraping Google Scholar Author info with Nodejs

What will be scraped

Google Scholar Author API

This section will show the difference between our Google Scholar Author API and DIY solution.

The difference is that you don't have to write code from scratch and maintain it. You may also experience blocking from Google and changing selectors which will break the parser. Instead, you just need to iterate the structured JSON and get the data you want. 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(process.env.API_KEY);                     //your API key from serpapi.com

const user = "6ZiRSwQAAAAJ";                                                      // the ID of the author we want to scrape

const params = {
  engine: "google_scholar_author",                                                // search engine
  author_id: user,                                                                // author ID
  hl: "en",                                                                       // Parameter defines the language to use for the Google search
  num: "100",                                                                     // Parameter defines the number of search results per page
};

const getArticlesFromPage = ({ articles }) => {
  return articles?.map((article) => {
    const { title, link = "link not available", authors, publication, cited_by, year } = article;
    return {
      title,
      link,
      authors,
      publication,
      citedBy: {
        link: cited_by.link,
        cited: cited_by.value,
      },
      year,
    };
  });
};

const getScholarAuthorData = function ({ author, articles, cited_by, public_access: publicAccess, co_authors }) {
  const { name, thumbnail: photo, affiliations, website = "website not available", interests } = author;
  const { table, graph } = cited_by;
  return {
    name,
    photo,
    affiliations,
    website,
    interests:
      interests?.map((interest) => {
        const { title, link = "link not available" } = interest;
        return {
          title,
          link,
        };
      }) || "no interests",
    articles: getArticlesFromPage({articles}),
    table: {
      citations: {
        all: table[0].citations.all,
        since2017: table[0].citations.since_2017,
      },
      hIndex: {
        all: table[1].h_index.all,
        since2017: table[1].h_index.since_2017,
      },
      i10Index: {
        all: table[2].i10_index.all,
        since2017: table[2].i10_index.since_2017,
      },
    },
    graph,
    publicAccess,
    coAuthors: co_authors?.map((result) => {
      const { name, link = "link not available", thumbnail: photo, affiliations, email = "no email info", author_id } = result;
      return {
        name,
        link,
        author_id,
        photo,
        affiliations,
        email,
      };
    }),
  };
};

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

const getResults = async () => {
  const json = await getJson(params);
  const scholarAuthorData = getScholarAuthorData(json);
  let nextPage = json.serpapi_pagination?.next;
  if (nextPage) params.start = 0;
  while (nextPage) {
    params.start += 100;
    const json = await getJson(params);
    nextPage = json.serpapi_pagination?.next;
    scholarAuthorData.articles.push(...getArticlesFromPage(json));
  }
  return scholarAuthorData;
};

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

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 user = "6ZiRSwQAAAAJ";

const params = {
  engine: "google_scholar_author",
  author_id: user,
  hl: "en",
  num: "100",
};

Code	Explanation
`user`	user ID from Google Scholar
`engine`	search engine
`hl`	parameter defines the language to use for the Google search
`num`	parameter defines the number of search results per page

Next, we write down a function for getting articles from the page:

const getArticlesFromPage = ({ articles }) => {
  return articles?.map((article) => {
    const { title, link = "link not available", authors, publication, cited_by, year } = article;
    return {
      title,
      link,
      authors,
      publication,
      citedBy: {
        link: cited_by.link,
        cited: cited_by.value,
      },
      year,
    };
  });
};

Code	Explanation
`articles`	data that we destructured from response
`title, link, ..., year`	data that we destructured from `article` object
`link = "link not available"`	we set default value `link not available` if `link` is `undefined`

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

const getScholarAuthorData = function ({ author, articles, cited_by, public_access: publicAccess, co_authors }) {
  const { name, thumbnail: photo, affiliations, website = "website not available", interests } = author;
  const { table, graph } = cited_by;
  return {
    name,
    photo,
    affiliations,
    website,
    interests:
      interests?.map((interest) => {
        const { title, link = "link not available" } = interest;
        return {
          title,
          link,
        };
      }) || "no interests",
    articles: getArticlesFromPage({articles}),
    table: {
      citations: {
        all: table[0].citations.all,
        since2017: table[0].citations.since_2017,
      },
      hIndex: {
        all: table[1].h_index.all,
        since2017: table[1].h_index.since_2017,
      },
      i10Index: {
        all: table[2].i10_index.all,
        since2017: table[2].i10_index.since_2017,
      },
    },
    graph,
    publicAccess,
    coAuthors: co_authors?.map((result) => {
      const { name, link = "link not available", thumbnail: photo, affiliations, email = "no email info", author_id } = result;
      return {
        name,
        link,
        author_id,
        photo,
        affiliations,
        email,
      };
    }),
  };
};

Code	Explanation
`author, articles, ..., co_authors`	data that we destructured from response
`name, thumbnail, ..., interests`	data that we destructured from `author` object
`thumbnail: photo`	we redefine destructured data `thumbnail` to new `photo`
`website = "website not available"`	we set default value `website not available` if `website` is `undefined`

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 and run the function getResult that gets the main author's info and articles info from all pages and return it:

const getResults = async () => {
  const json = await getJson(params);
  const scholarAuthorData = getScholarAuthorData(json);
  let nextPage = json.serpapi_pagination?.next;
  if (nextPage) params.start = 0;
  while (nextPage) {
    params.start += 100;
    const json = await getJson(params);
    nextPage = json.serpapi_pagination?.next;
    scholarAuthorData.articles.push(...getArticlesFromPage(json));
  }
  return scholarAuthorData;
};

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

Code	Explanation
`scholarAuthorData.articles.push(...getArticlesFromPage(json))`	in this code, we use spread syntax to split the array from result that was returned from `getArticlesFromPage` function into elements and add them in the end of `scholarAuthorData.articles` array
`console.dir(result, { depth: null })`	console method `dir` allows you to use an object with necessary parameters to change default output options. Watch Node.js documentation for more info

Output

{
   "name":"Gustavo E. Scuseria",
   "photo":"https://scholar.googleusercontent.com/citations?view_op=medium_photo&user=6ZiRSwQAAAAJ&citpid=2",
   "affiliations":"Welch Professor of Chemistry, Physics & Astronomy, and Materials Science & NanoEngineering",
   "website":"http://scuseria.rice.edu/",
   "interests":[
      {
         "title":"Quantum Chemistry",
         "link":"https://scholar.google.com/citations?view_op=search_authors&hl=en&mauthors=label:quantum_chemistry"
      },
      {
         "title":"Electronic Structure",
         "link":"https://scholar.google.com/citations?view_op=search_authors&hl=en&mauthors=label:electronic_structure"
      },
      ... and other interests
   ],
   "articles":[
      {
         "title":"Gaussian",
         "link":"https://scholar.google.com/citations?view_op=view_citation&hl=en&user=6ZiRSwQAAAAJ&citation_for_view=6ZiRSwQAAAAJ:zYLM7Y9cAGgC",
         "authors":"M Frisch, GW Trucks, HB Schlegel, GE Scuseria, MA Robb, ...",
         "publication":"Inc., Wallingford, CT 200, 2009",
         "citedBy":{
            "link":"https://scholar.google.com/scholar?oi=bibs&hl=en&cites=12649774174384111814,14968720898351466124,2542640079890340298,8878124810051097364,2098631159866273549,2628790197996155063,9956613247733821950,12319774160759231510,10858305733441610093,6078020929247912320,732977129500792336,14993646544388831080,15565517274675135746,15250043469802589020,1808091898519134639,4924449844119900931,7042231487572549326,15997103006766735356,1383260141329079090,9449439637290636341,15798026778807799939,8499548159092922473,17327920478782103127,17012586779140016045,15565399274538950872,3036342632434523386,551261585751727105,149700165324054213,2578529946445560518",
            "cited":120296
         },
         "year":"2009"
      },
      {
         "title":"Gaussian 03, revision C. 02",
         "link":"https://scholar.google.com/citations?view_op=view_citation&hl=en&user=6ZiRSwQAAAAJ&citation_for_view=6ZiRSwQAAAAJ:oC1yQlCKEqoC",
         "authors":"MJ Frisch, GW Trucks, HB Schlegel, GE Scuseria, MA Robb, ...",
         "publication":"Gaussian, Inc., Wallingford, CT, 2004",
         "citedBy":{
            "link":"https://scholar.google.com/scholar?oi=bibs&hl=en&cites=5576070979585392002,14227769557982606857",
            "cited":25832
         },
         "year":"2004"
      },
      ... and other articles
   ],
   "table":{
      "citations":{
         "all":295108,
         "since2017":113669
      },
      "hIndex":{
         "all":139,
         "since2017":76
      },
      "i10Index":{
         "all":552,
         "since2017":357
      }
   },
   "graph":[
      {
         "year":1993,
         "citations":771
      },
      {
         "year":1994,
         "citations":782
      },
      ... and other years
   ],
   "publicAccess":{
      "link":"https://scholar.google.com/citations?view_op=list_mandates&hl=en&user=6ZiRSwQAAAAJ",
      "available":89,
      "not_available":5
   },
   "coAuthors":[
      {
         "name":"John P. Perdew",
         "link":"https://scholar.google.com/citations?user=09nv75wAAAAJ&hl=en",
         "author_id":"09nv75wAAAAJ",
         "photo":"https://scholar.googleusercontent.com/citations?view_op=small_photo&user=09nv75wAAAAJ&citpid=2",
         "affiliations":"Temple University",
         "email":"Verified email at temple.edu"
      },
      {
         "name":"Viktor N. Staroverov",
         "link":"https://scholar.google.com/citations?user=eZqrRYEAAAAJ&hl=en",
         "author_id":"eZqrRYEAAAAJ",
         "photo":"https://scholar.googleusercontent.com/citations?view_op=small_photo&user=eZqrRYEAAAAJ&citpid=2",
         "affiliations":"Professor, The University of Western Ontario",
         "email":"Verified email at uwo.ca"
      },
      ... and other co-authors
   ]
}

DIY Preparation

First, we need to create a Node.js* project and add npm packages puppeteer, puppeteer-extra and 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 in headless 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.

*If you don't have Node.js installed, you can download it from nodejs.org and follow the installation documentation.

📌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. You can check it on Chrome headless tests website. The screenshot below shows you a difference.

stealth

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.

how

📌Note: you can get user ID from Google Scholar using my guide How to scrape Google Scholar profiles results with Node.js.

DIY Code

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

puppeteer.use(StealthPlugin());

const requestParams = {
  user: "6ZiRSwQAAAAJ",                              // the ID of the author we want to scrape
  hl: "en",                                          // parameter defines the language to use for the Google search
};

const domain = `http://scholar.google.com`;

async function getArticles(page) {
  while (true) {
    await page.waitForSelector("#gsc_bpf_more");
    const isNextPage = await page.$("#gsc_bpf_more:not([disabled])");
    if (!isNextPage) break;
    await page.click("#gsc_bpf_more");
    await page.waitForTimeout(5000);
  }
  return await page.evaluate(async () => {
    const articles = document.querySelectorAll(".gsc_a_tr");
    const articleInfo = [];
    for (const el of articles) {
      articleInfo.push({
        title: el.querySelector(".gsc_a_at").textContent.trim(),
        link: await window.buildValidLink(el.querySelector(".gsc_a_at").getAttribute("href")),
        authors: el.querySelector(".gs_gray:first-of-type").textContent.trim(),
        publication: el.querySelector(".gs_gray:last-of-type").textContent.trim(),
        citedBy: {
          link: el.querySelector(".gsc_a_ac").getAttribute("href"),
          cited: el.querySelector(".gsc_a_ac").textContent.trim(),
        },
        year: el.querySelector(".gsc_a_h").textContent.trim(),
      });
    }
    return articleInfo;
  });
}

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

  const page = await browser.newPage();

  const URL = `${domain}/citations?hl=${requestParams.hl}&user=${requestParams.user}`;

  await page.setDefaultNavigationTimeout(60000);
  await page.goto(URL);
  await page.waitForSelector(".gsc_a_tr");
  await page.waitForTimeout(1000);

  await page.exposeFunction("buildValidLink", (rawLink) => {
    if (!rawLink || rawLink.includes("javascript:void(0)")) return "link not available";
    if (rawLink.includes("scholar.googleusercontent")) return rawLink;
    return domain + rawLink;
  });

  const articles = await getArticles(page);

  const scholarAuthorInfo = await page.evaluate(async (articles) => {
    const interests = [];
    const interstsSelectors = document.querySelectorAll("#gsc_prf_int a");
    for (const interest of interstsSelectors) {
      interests.push({
        title: interest.textContent.trim(),
        link: await window.buildValidLink(interest.getAttribute("href")),
      });
    }

    const coAuthors = [];
    const coAuthorsSelectors = document.querySelectorAll("#gsc_rsb_co .gsc_rsb_aa");
    for (const coAuthor of coAuthorsSelectors) {
      const link = await window.buildValidLink(coAuthor.querySelector(".gsc_rsb_a_desc a").getAttribute("href"));
      const authorIdPattern = /user=(?<id>[^&]+)/gm;                            //https://regex101.com/r/oxoQEj/1
      const authorId = link.match(authorIdPattern)[0].replace("user=", "");
      coAuthors.push({
        name: coAuthor.querySelector(".gsc_rsb_a_desc a").textContent.trim(),
        link,
        authorId,
        photo: await window.buildValidLink(coAuthor.querySelector(".gs_pp_df").getAttribute("data-src")),
        affiliations: coAuthor.querySelector(".gsc_rsb_a_ext").textContent.trim(),
        email: coAuthor.querySelector(".gsc_rsb_a_ext2")?.textContent.trim() || "email not available",
      });
    }

    return {
      name: document.querySelector("#gsc_prf_in").textContent.trim(),
      photo: await window.buildValidLink(document.querySelector("#gsc_prf_pup-img").getAttribute("src")),
      affiliations: document.querySelector(".gsc_prf_il:nth-child(2)").textContent.trim(),
      website: document.querySelector(".gsc_prf_ila").getAttribute("href") || "website not available",
      interests,
      articles,
      table: {
        citations: {
          all: document.querySelector("#gsc_rsb_st tr:nth-child(1) td:nth-child(2)").textContent.trim(),
          since2017: document.querySelector("#gsc_rsb_st tr:nth-child(1) td:nth-child(3)").textContent.trim(),
        },
        hIndex: {
          all: document.querySelector("#gsc_rsb_st tr:nth-child(2) td:nth-child(2)").textContent.trim(),
          since2017: document.querySelector("#gsc_rsb_st tr:nth-child(2) td:nth-child(3)").textContent.trim(),
        },
        i10Index: {
          all: document.querySelector("#gsc_rsb_st tr:nth-child(3) td:nth-child(2)").textContent.trim(),
          since2017: document.querySelector("#gsc_rsb_st tr:nth-child(3) td:nth-child(3)").textContent.trim(),
        },
      },
      graph: Array.from(document.querySelectorAll(".gsc_md_hist_b .gsc_g_t")).map((el, i) => {
        return {
          year: el.textContent.trim(),
          citations: document.querySelectorAll(".gsc_md_hist_b .gsc_g_al")[i].textContent.trim(),
        };
      }),
      publicAccess: {
        link: await window.buildValidLink(document.querySelector("#gsc_lwp_mndt_lnk").getAttribute("href")),
        available: document.querySelectorAll(".gsc_rsb_m_a")[0].textContent.trim(),
        notAvailable: document.querySelectorAll(".gsc_rsb_m_na")[0].textContent.trim(),
      },
      coAuthors,
    };
  }, articles);

  await browser.close();

  return scholarAuthorInfo;
}

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

Code explanation

Declare constants from required libraries:

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

Code	Explanation
`puppeteer`	Chromium control library
`StealthPlugin`	library for prevent website detection that you are using web driver

Next, we "saying" to puppeteer use StealthPlugin:

puppeteer.use(StealthPlugin());

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

const requestParams = {
  user: "6ZiRSwQAAAAJ",                              // the ID of the author we want to scrape
  hl: "en",                                          // parameter defines the language to use for the Google search
};

const domain = `http://scholar.google.com`;

Code	Explanation
`user`	user ID from Google Scholar
`hl`	parameter defines the language to use for the Google search

Next, we write down a function for getting articles from the page:

async function getArticles(page) {
  while (true) {
    await page.waitForSelector("#gsc_bpf_more");
    const isNextPage = await page.$("#gsc_bpf_more:not([disabled])");
    if (!isNextPage) break;
    await page.click("#gsc_bpf_more");
    await page.waitForTimeout(5000);
  }
  return await page.evaluate(async () => {
    const articles = document.querySelectorAll(".gsc_a_tr");
    const articleInfo = [];
    for (const el of articles) {
      articleInfo.push({
        title: el.querySelector(".gsc_a_at").textContent.trim(),
        link: await window.buildValidLink(el.querySelector(".gsc_a_at").getAttribute("href")),
        authors: el.querySelector(".gs_gray:first-of-type").textContent.trim(),
        publication: el.querySelector(".gs_gray:last-of-type").textContent.trim(),
        citedBy: {
          link: el.querySelector(".gsc_a_ac").getAttribute("href"),
          cited: el.querySelector(".gsc_a_ac").textContent.trim(),
        },
        year: el.querySelector(".gsc_a_h").textContent.trim(),
      });
    }
    return articleInfo;
  });
}

Code	Explanation
`page.waitForSelector("#gsc_bpf_more")`	stops the script and waits for the html element with the `#gsc_bpf_more` selector to load
`page.click("#gsc_bpf_more")`	this methods emulates mouse click on the html element with the `#gsc_bpf_more` selector
`page.waitForTimeout(5000)`	waiting 5000 ms before continue
`articleInfo`	an array with information about all articles from the page
`page.evaluate(async () => {`	is the Puppeteer method for injecting `function` in the page context and allows to return data directly from the browser
`document.querySelectorAll(".gsc_a_tr")`	returns a static NodeList representing a list of the document's elements that match the css selectors with class name `gsc_a_tr`
`el.querySelector(".gsc_a_at")`	returns the first html element with class name `gsc_a_at` which is any child of the `el` html element
`.trim()`	removes whitespace from both ends of a string
`window.buildValidLink`	is the function injected in the browser's window context in `getScholarAuthorInfo` function. More info in `getScholarAuthorInfo` explanation section
`.getAttribute("href")`	gets the `href` attribute value of the html element

And finally, a function to control the browser, and get main information about the author:

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

  const page = await browser.newPage();

  const URL = `${domain}/citations?hl=${requestParams.hl}&user=${requestParams.user}`;

  await page.setDefaultNavigationTimeout(60000);
  await page.goto(URL);
  await page.waitForSelector(".gsc_a_tr");
  await page.waitForTimeout(1000);

  await page.exposeFunction("buildValidLink", (rawLink) => {
    if (!rawLink || rawLink.includes("javascript:void(0)")) return "link not available";
    if (rawLink.includes("scholar.googleusercontent")) return rawLink;
    return domain + rawLink;
  });

  const articles = await getArticles(page);

  const scholarAuthorInfo = await page.evaluate(async (articles) => {
    const interests = [];
    const interstsSelectors = document.querySelectorAll("#gsc_prf_int a");
    for (const interest of interstsSelectors) {
      interests.push({
        title: interest.textContent.trim(),
        link: await window.buildValidLink(interest.getAttribute("href")),
      });
    }

    const coAuthors = [];
    const coAuthorsSelectors = document.querySelectorAll("#gsc_rsb_co .gsc_rsb_aa");
    for (const coAuthor of coAuthorsSelectors) {
      const link = await window.buildValidLink(coAuthor.querySelector(".gsc_rsb_a_desc a").getAttribute("href"));
      const authorIdPattern = /user=(?<id>[^&]+)/gm;                            //https://regex101.com/r/oxoQEj/1
      const authorId = link.match(authorIdPattern)[0].replace("user=", "");
      coAuthors.push({
        name: coAuthor.querySelector(".gsc_rsb_a_desc a").textContent.trim(),
        link,
        authorId,
        photo: await window.buildValidLink(coAuthor.querySelector(".gs_pp_df").getAttribute("data-src")),
        affiliations: coAuthor.querySelector(".gsc_rsb_a_ext").textContent.trim(),
        email: coAuthor.querySelector(".gsc_rsb_a_ext2")?.textContent.trim() || "email not available",
      });
    }

    return {
      name: document.querySelector("#gsc_prf_in").textContent.trim(),
      photo: await window.buildValidLink(document.querySelector("#gsc_prf_pup-img").getAttribute("src")),
      affiliations: document.querySelector(".gsc_prf_il:nth-child(2)").textContent.trim(),
      website: document.querySelector(".gsc_prf_ila").getAttribute("href") || "website not available",
      interests,
      articles,
      table: {
        citations: {
          all: document.querySelector("#gsc_rsb_st tr:nth-child(1) td:nth-child(2)").textContent.trim(),
          since2017: document.querySelector("#gsc_rsb_st tr:nth-child(1) td:nth-child(3)").textContent.trim(),
        },
        hIndex: {
          all: document.querySelector("#gsc_rsb_st tr:nth-child(2) td:nth-child(2)").textContent.trim(),
          since2017: document.querySelector("#gsc_rsb_st tr:nth-child(2) td:nth-child(3)").textContent.trim(),
        },
        i10Index: {
          all: document.querySelector("#gsc_rsb_st tr:nth-child(3) td:nth-child(2)").textContent.trim(),
          since2017: document.querySelector("#gsc_rsb_st tr:nth-child(3) td:nth-child(3)").textContent.trim(),
        },
      },
      graph: Array.from(document.querySelectorAll(".gsc_md_hist_b .gsc_g_t")).map((el, i) => {
        return {
          year: el.textContent.trim(),
          citations: document.querySelectorAll(".gsc_md_hist_b .gsc_g_al")[i].textContent.trim(),
        };
      }),
      publicAccess: {
        link: await window.buildValidLink(document.querySelector("#gsc_lwp_mndt_lnk").getAttribute("href")),
        available: document.querySelectorAll(".gsc_rsb_m_a")[0].textContent.trim(),
        notAvailable: document.querySelectorAll(".gsc_rsb_m_na")[0].textContent.trim(),
      },
      coAuthors,
    };
  }, articles);

  await browser.close();

  return scholarAuthorInfo;
}

Code	Explanation
`puppeteer.launch({options})`	this method launches a new instance of the Chromium browser with current `options`
`headless`	defines which mode to use: headless (by default) or non-headless
`args`	an array with arguments which is used with Chromium
`["--no-sandbox", "--disable-setuid-sandbox"]`	these arguments we use to allow the launch of the browser process in the online IDE
`browser.newPage()`	this method launches a new page
`page.setDefaultNavigationTimeout(60000)`	changing default (30 sec) time for waiting for selectors to 60000 ms (1 min) for slow internet connection
`page.goto(URL)`	navigation to `URL` which is defined above
`page.exposeFunction("buildValidLink", injectedFunction)`	inject `injectedFunction` with "buildValidLink" name in the browser's window context. This function helps us change the raw links to the correct links. We need to do this with links because they are of different types. For example, some links start with "/citations", some already have a complete and correct link, and some no links
`authorIdPattern`	a RegEx pattern for search and define author id. See what it allows you to find
`link.match(authorIdPattern)[0].replace('user=', '')`	here we find a substring that matches `authorIdPattern`, take `0` element from the matches array and remove "user=" part
`browser.close()`	after all we close the browser instance

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.

Output

{
   "name":"Gustavo E. Scuseria",
   "photo":"https://scholar.googleusercontent.com/citations?view_op=medium_photo&user=6ZiRSwQAAAAJ&citpid=2",
   "affiliations":"Welch Professor of Chemistry, Physics & Astronomy, and Materials Science & NanoEngineering",
   "website":"http://scuseria.rice.edu/",
   "interests":[
      {
         "title":"Quantum Chemistry",
         "link":"http://scholar.google.com/citations?view_op=search_authors&hl=en&mauthors=label:quantum_chemistry"
      },
      {
         "title":"Electronic Structure",
         "link":"http://scholar.google.com/citations?view_op=search_authors&hl=en&mauthors=label:electronic_structure"
      },
      ... and other interests
   ],
   "articles":[
      {
         "title":"Gaussian",
         "link":"http://scholar.google.com/citations?view_op=view_citation&hl=en&user=6ZiRSwQAAAAJ&citation_for_view=6ZiRSwQAAAAJ:zYLM7Y9cAGgC",
         "authors":"M Frisch, GW Trucks, HB Schlegel, GE Scuseria, MA Robb, ...",
         "publication":"Inc., Wallingford, CT 200, 2009",
         "citedBy":{
            "link":"https://scholar.google.com/scholar?oi=bibs&hl=en&cites=12649774174384111814,14968720898351466124,2542640079890340298,8878124810051097364,2098631159866273549,2628790197996155063,9956613247733821950,12319774160759231510,10858305733441610093,6078020929247912320,732977129500792336,14993646544388831080,15565517274675135746,15250043469802589020,1808091898519134639,4924449844119900931,7042231487572549326,15997103006766735356,1383260141329079090,9449439637290636341,15798026778807799939,8499548159092922473,17327920478782103127,17012586779140016045,15565399274538950872,3036342632434523386,551261585751727105,149700165324054213,2578529946445560518",
            "cited":"120296"
         },
         "year":"2009"
      },
      {
         "title":"Gaussian 03, revision C. 02",
         "link":"http://scholar.google.com/citations?view_op=view_citation&hl=en&user=6ZiRSwQAAAAJ&citation_for_view=6ZiRSwQAAAAJ:oC1yQlCKEqoC",
         "authors":"MJ Frisch, GW Trucks, HB Schlegel, GE Scuseria, MA Robb, ...",
         "publication":"Gaussian, Inc., Wallingford, CT, 2004",
         "citedBy":{
            "link":"https://scholar.google.com/scholar?oi=bibs&hl=en&cites=5576070979585392002,14227769557982606857",
            "cited":"25832"
         },
         "year":"2004"
      },
      ... and other articles
   ],
   "table":{
      "citations":{
         "all":"295108",
         "since2017":"113669"
      },
      "hIndex":{
         "all":"139",
         "since2017":"76"
      },
      "i10Index":{
         "all":"552",
         "since2017":"357"
      }
   },
   "graph":[
      {
         "year":"1993",
         "citations":"771"
      },
      {
         "year":"1994",
         "citations":"782"
      },
      ... and other years
   ],
   "publicAccess":{
      "link":"http://scholar.google.com/citations?view_op=list_mandates&hl=en&user=6ZiRSwQAAAAJ",
      "available":"89 articles",
      "notAvailable":"5 articles"
   },
   "coAuthors":[
      {
         "name":"John P. Perdew",
         "link":"http://scholar.google.com/citations?user=09nv75wAAAAJ&hl=en",
         "author_id":"09nv75wAAAAJ",
         "photo":"https://scholar.googleusercontent.com/citations?view_op=small_photo&user=09nv75wAAAAJ&citpid=2",
         "affiliations":"Temple UniversityVerified email at temple.edu",
         "email":"Verified email at temple.edu"
      },
      {
         "name":"Viktor N. Staroverov",
         "link":"http://scholar.google.com/citations?user=eZqrRYEAAAAJ&hl=en",
         "author_id":"eZqrRYEAAAAJ",
         "photo":"https://scholar.googleusercontent.com/citations?view_op=small_photo&user=eZqrRYEAAAAJ&citpid=2",
         "affiliations":"Professor, The University of Western OntarioVerified email at uwo.ca",
         "email":"Verified email at uwo.ca"
      },
      ... and other co-authors
   ]
}

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Web Scraping Google Scholar Author info with Nodejs

Mikhail Zub

What will be scraped

Google Scholar Author API

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What will be scraped

Google Scholar Author API

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Free Plan · 100 searches / month