Wiley Scraper

Extract research articles, journal issues, author data, and citation metrics from Wiley Online Library academic publisher. Built on spider-browser .

Get started Docs

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

Quick start

Extract data in minutes.

wiley-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://onlinelibrary.wiley.com/action/doSearch?AllField=machine+learning");
await page.content(10000);

const data = await page.extractFields({
  title: "h3 a, h2 a, a[href*='/article/']",
  authors: "[class*='author'], [data-author]",
  journal: "[class*='journal'], [class*='source']",
  date: "time, [class*='date']",
  abstract: "[class*='abstract'], p",
  doi: "a[href*='doi.org'], [class*='doi']",
});

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

ready to run · spider-browser · TypeScript

Fetch API

One endpoint for wiley.com.

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

POST /fetch/wiley.com/

Article titleAuthorsAbstractJournalDOIVolume/Issue

Try it Fetch docs

cURL

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