Connected Papers Scraper

Extract paper similarity graphs, citation connections, prior and derivative works from Connected Papers visual research explorer. Built on spider-browser .

Get started Docs

target
connectedpapers.com: success rate
99.9%: latency
~4ms

Quick start

Extract data in minutes.

connected-papers-scraper.ts

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://www.connectedpapers.com/search?q=attention+mechanism");
await page.content(10000);

const data = await page.evaluate(`(() => {
  const papers = [];
  document.querySelectorAll("[data-testid='search-result'], .paper-search-result").forEach(el => {
    const title = el.querySelector("h3, .paper-title")?.textContent?.trim();
    const authors = el.querySelector(".paper-authors")?.textContent?.trim();
    const year = el.querySelector(".paper-year")?.textContent?.trim();
    const citations = el.querySelector(".paper-citations")?.textContent?.trim();
    const venue = el.querySelector(".paper-venue")?.textContent?.trim();
    if (title) papers.push({ title, authors, year, citations, venue });
  });
  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 connectedpapers.com.

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

POST /fetch/connectedpapers.com/

Paper titleAuthorsYearCitationsGraph positionRelated papers

Try it Fetch docs

cURL

curl -X POST https://api.spider.cloud/fetch/connectedpapers.com/ \
  -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/connectedpapers.com/",
    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/connectedpapers.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);

Extraction

Fields you can pull.

Paper titleAuthorsYearCitationsGraph positionRelated papersPrior worksDerivative works

Content

Paper extraction

Extract abstracts, citations, author data, and metadata from connectedpapers.com.

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 connectedpapers.com.

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