Google Scholar Search Scraper
Spider read scholar.google.com in 137 ms without a browser and returned 33 lines of clean markdown, including the section "Sprachen".
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.Artikel zurückgeben, die von folgendem Autor **verfasst** wurden:z. B. *"Stephen Hawking"* oder *Hawking*Artikel zurückgeben, die hier **veröffentlicht wurden**:Artikel zurückgeben, die in folgendem **Zeitraum** geschrieben wurden:)## In „Meine Bibliothek“ gespeichertMein ProfilMeine BibliothekLabsBeliebige Sprache Seiten auf DeutschAuf den Schultern von Riesen### SprachenDatenschutzerklärungNutzungsbedingungenHilfe) The same call, in code.
The capture above came back as markdown. These examples add a key, so you get browser rendering, proxies, and concurrency on scholar.google.com.
import { SpiderBrowser } from "spider-browser";
const spider = new SpiderBrowser({
apiKey: process.env.SPIDER_API_KEY!,
});
await spider.connect();
const page = spider.page!;
await page.goto("https://scholar.google.com/scholar?q=machine+learning");
// No selectors, no schema. Spider reads the page and names the fields.
const data = await page.scrape();
console.log(data);
await spider.close(); 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(); Ready for volume? Get an API key →
Fields you can pull.
Spider names these from the page. The capture above came back as markdown; the same
call with return_format: "json" returns them as keys.
What scholar.google.com costs to scrape.
The capture above cost $0.000213 to fetch. Pricing is $1 per GB of pre-transformation bandwidth plus $0.001 per CPU minute, so a page like this one lands at a fraction of a cent. Failed requests are billed at $0.
- Free balance on signup
- No card required to test
- Balance never expires
Run it keyless, no account
More Search scrapers.
Google Scraper
Extract Google Search results, knowledge panels, featured snippets, People Also Ask, and full SERP data programmatically. Geo-targeted proxies from 195+ countries for localized results.
Google Play Scraper
Extract app listings, ratings, reviews, download counts, and developer info from Google Play Store.
Google Maps Scraper
Extract business listings, reviews, ratings, contact info, hours, and location data from Google Maps. Full browser rendering handles map interfaces and infinite scroll.
Start scraping scholar.google.com.
You already have the call. A key raises the rate limit and turns on browser rendering, proxies, and concurrency. Balance never expires, and top-ups go through secure checkout.