Semantic Scholar Scraper
Extract paper metadata, citation graphs, author profiles, and AI-generated summaries from Semantic Scholar research engine.
curl -X POST https://api.spider.cloud/scrape \
-H "Content-Type: application/json" \
-d '{"url": "https://semanticscholar.org", "return_format": "markdown"}'Returns semanticscholar.org as markdown, live. Get a key →
We have not stored a capture of semanticscholar.org, so there is nothing real to show here yet. Run the call above and you get the live page back as markdown.
The same call, in code.
The keyless call above returns markdown. These examples add a key, so you get browser rendering, proxies, and concurrency on semanticscholar.org.
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://www.semanticscholar.org/search?q=large+language+models&sort=relevance");
// 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!,
});
await spider.connect();
const page = spider.page!;
await page.goto("https://www.semanticscholar.org/search?q=large+language+models&sort=relevance");
await page.content(10000);
const data = await page.evaluate(`(() => {
const papers = [];
document.querySelectorAll("[data-test-id='search-result']").forEach(el => {
const title = el.querySelector("[data-test-id='title-link']")?.textContent?.trim();
const authors = el.querySelector("[data-test-id='author-list']")?.textContent?.trim();
const year = el.querySelector("[data-test-id='paper-year']")?.textContent?.trim();
const citations = el.querySelector("[data-test-id='citation-count']")?.textContent?.trim();
const tldr = el.querySelector("[data-test-id='tldr']")?.textContent?.trim();
if (title) papers.push({ title, authors, year, citations, tldr });
});
return JSON.stringify({ total: papers.length, papers: papers.slice(0, 15) });
})()`);
console.log(JSON.parse(data));
await spider.close();Ready for volume? Get an API key →
Fields you can pull.
What semanticscholar.org costs to scrape.
Pricing is $1 per GB of pre-transformation bandwidth plus $0.001 per CPU minute, so most pages land at a fraction of a cent. Failed requests are billed at $0.
- Free balance on signup
- No card required to test
- Balance never expires
More Science & Research scrapers.
arXiv Scraper
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PubMed Scraper
Extract biomedical literature, abstracts, MeSH terms, and citation data from PubMed National Library of Medicine database.
ResearchGate Scraper
Extract researcher profiles, publication lists, citation metrics, and project data from ResearchGate academic network.
Start scraping semanticscholar.org.
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.