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

Quick start

Extract data in minutes.

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

Fetch API

One endpoint for semanticscholar.org.

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

POST /fetch/semanticscholar.org/

Paper titleAuthorsAbstractCitation countInfluential citationsYear

Try it Fetch docs

cURL

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

Python

import requests

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

Node.js

const resp = await fetch("https://api.spider.cloud/fetch/semanticscholar.org/", {
  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);

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.

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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.

Get started free All scrapers