Elsevier Scraper

Extract journal listings, editorial board data, submission guidelines, and impact metrics from Elsevier publishing platform. Built on spider-browser .

Get started Docs

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

Quick start

Extract data in minutes.

elsevier-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.elsevier.com/search-results?query=artificial+intelligence&labels=journals");
await page.content(10000);

const data = await page.evaluate(`(() => {
  const journals = [];
  document.querySelectorAll("[data-testid='search-result'], .search-result-item").forEach(el => {
    const name = el.querySelector("h3 a, .result-title a")?.textContent?.trim();
    const subject = el.querySelector(".result-category, .subject-area")?.textContent?.trim();
    const description = el.querySelector(".result-description, p")?.textContent?.trim();
    const impact = el.querySelector(".impact-factor, .metric-value")?.textContent?.trim();
    if (name) journals.push({ name, subject, description, impact });
  });
  return JSON.stringify({ total: journals.length, journals: journals.slice(0, 15) });
})()`);

console.log(JSON.parse(data));
await spider.close();

ready to run · spider-browser · TypeScript

Fetch API

One endpoint for elsevier.com.

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

POST /fetch/elsevier.com/

Journal nameImpact factorEditorSubject areaOpen accessISSN

Try it Fetch docs

cURL

curl -X POST https://api.spider.cloud/fetch/elsevier.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/elsevier.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/elsevier.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