JSTOR Scraper

Extract academic journal archives, research article metadata, collection listings, and publisher indexes from JSTOR. Built on spider-browser .

Get started Docs

target
jstor.org: success rate
99.9%: latency
~4ms

POST /fetch/jstor.org/

return_format

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

200 OK · cache hit · response shape

{
  "url": "https://jstor.org/",
  "status": 200,
  "data": {
    "article_title": "string",
    "authors": "string",
    "journal_name": "string",
    "publication_date": "string",
    "abstract": "string",
    "doi": "string",
    "page_range": "string"
  }
}

# JSTOR Scraper

**Article title**: string
**Authors**: string
**Journal name**: string
**Publication date**: string
**Abstract**: string
**DOI**: string
**Page range**: string

Quick start

Extract data in minutes.

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

jstor-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.jstor.org/action/doBasicSearch?Query=artificial+intelligence");

const data = await page.evaluate(`(() => {
  const articles = [];
  document.querySelectorAll(".search-result-item").forEach(el => {
    const title = el.querySelector(".title a")?.textContent?.trim();
    const authors = el.querySelector(".author")?.textContent?.trim();
    const journal = el.querySelector(".journal-title")?.textContent?.trim();
    const date = el.querySelector(".pub-date")?.textContent?.trim();
    const abstract = el.querySelector(".description")?.textContent?.trim();
    if (title) articles.push({ title, authors, journal, date, abstract });
  });
  return JSON.stringify({ total: articles.length, articles: articles.slice(0, 10) });
})()`);

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

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