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AI Studio  add-on for Spider.
Science & Research
semanticscholar.org Verified

Semantic Scholar Scraper

Extract paper metadata, citation graphs, author profiles, and AI-generated summaries from Semantic Scholar research engine. Built on spider-browser .

Get started Docs
target
semanticscholar.org
success rate
99.9%
latency
~4ms
POST /fetch/semanticscholar.org/
return_format
curl -X POST https://api.spider.cloud/fetch/semanticscholar.org/ \
  -H "Authorization: Bearer $SPIDER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'
200 OK · cache hit · response shape
{
  "url": "https://semanticscholar.org/",
  "status": 200,
  "data": {
    "paper_title": "string",
    "authors": "string",
    "abstract": "string",
    "citation_count": "string",
    "influential_citations": "string",
    "year": "string",
    "venue": "string",
    "tldr": "string"
  }
}
Quick start

Extract data in minutes.

Structured JSON from semanticscholar.org with a single POST. AI-resolved selectors, cached on the first call.

semantic-scholar-scraper.ts
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 to run · spider-browser · TypeScript
Extraction

Fields you can pull.

Paper titleAuthorsAbstractCitation countInfluential citationsYearVenueTLDR
Content

Paper extraction

Extract abstracts, citations, author data, and metadata from semanticscholar.org.

Parsing

Academic parsing

Clean extraction of LaTeX, references, and structured research data.

Scale

Bulk research

Process thousands of papers and citations for systematic reviews.

Related

More Science & Research scrapers.

Start

Start scraping semanticscholar.org.

Grab an API key and call the endpoint above. The first request resolves the config; every request after hits cache.