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Science & Research
Verified

Dimensions Scraper

Extract research publications, grants, patents, clinical trials, and policy data from Digital Science Dimensions analytics platform. Built on spider-browser .

Get started Docs
target
dimensions.ai
success rate
99.9%
latency
~4ms
Quick start

Extract data in minutes.

dimensions-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://app.dimensions.ai/discover/publication?search_mode=content&search_text=protein+folding");
await page.content(10000);

const data = await page.evaluate(`(() => {
  const publications = [];
  document.querySelectorAll("[data-testid='result-row'], .result-item").forEach(el => {
    const title = el.querySelector("h3 a, .result-title a")?.textContent?.trim();
    const authors = el.querySelector(".result-authors, .authors-list")?.textContent?.trim();
    const source = el.querySelector(".result-source, .journal-name")?.textContent?.trim();
    const year = el.querySelector(".result-year, .pub-year")?.textContent?.trim();
    const citations = el.querySelector(".result-citations, .citation-badge")?.textContent?.trim();
    if (title) publications.push({ title, authors, source, year, citations });
  });
  return JSON.stringify({ total: publications.length, publications: publications.slice(0, 15) });
})()`);

console.log(JSON.parse(data));
await spider.close();
ready to run · spider-browser · TypeScript
Fetch API

One endpoint for dimensions.ai.

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

POST /fetch/dimensions.ai/
Publication titleAuthorsSourceYearCitationsAltmetric
cURL
curl -X POST https://api.spider.cloud/fetch/dimensions.ai/ \
  -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/dimensions.ai/",
    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/dimensions.ai/", {
  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.

Publication titleAuthorsSourceYearCitationsAltmetricGrantsField of research
Content

Paper extraction

Extract abstracts, citations, author data, and metadata from dimensions.ai.

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 dimensions.ai.

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