Google Scholar Search Scraper

import { SpiderBrowser } from "spider-browser";

const spider = new SpiderBrowser({
  apiKey: process.env.SPIDER_API_KEY!,
  stealth: 2,
});

await spider.connect();
const page = spider.page!;
await page.goto("https://scholar.google.com/scholar?q=machine+learning");
await page.content();

const data = await page.evaluate(`(() => {
  const papers = [];
  document.querySelectorAll("[data-cid]").forEach(el => {
    const title = el.querySelector("h3 a")?.textContent?.trim();
    const authors = (el.querySelector("h3 + div a") ||
      el.querySelector("h3 ~ div:nth-of-type(1)"))?.textContent?.trim();
    const snippet = el.querySelector("h3 ~ div:nth-of-type(2)")?.textContent?.trim();
    const citLink = [...(el.querySelectorAll("a") || [])].find(a => a.textContent?.includes("Cited by"));
    const citations = citLink?.textContent?.trim();
    if (title) papers.push({ title, authors, snippet, citations });
  });
  return JSON.stringify({ total: papers.length, papers: papers.slice(0, 10) });
})()`);

console.log(JSON.parse(data));
await spider.close();

curl -X POST https://api.spider.cloud/fetch/scholar.google.com/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'

import requests

resp = requests.post(
    "https://api.spider.cloud/fetch/scholar.google.com/",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json={"return_format": "json"},
)
print(resp.json())

const resp = await fetch("https://api.spider.cloud/fetch/scholar.google.com/", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ return_format: "json" }),
});
const data = await resp.json();
console.log(data);