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

POST /fetch/dimensions.ai/

return_format

curl -X POST https://api.spider.cloud/fetch/dimensions.ai/ \
  -H "Authorization: Bearer $SPIDER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'

200 OK · cache hit · response shape

{
  "url": "https://dimensions.ai/",
  "status": 200,
  "data": {
    "publication_title": "string",
    "authors": "string",
    "source": "string",
    "year": "string",
    "citations": "string",
    "altmetric": "string",
    "grants": "string",
    "field_of_research": "string"
  }
}

# Dimensions Scraper

**Publication title**: string
**Authors**: string
**Source**: string
**Year**: string
**Citations**: string
**Altmetric**: string
**Grants**: string
**Field of research**: string

Quick start

Extract data in minutes.

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

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();

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"}'

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())

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);