Nature Scraper

Extract research articles, journal metadata, author data, and impact metrics from Nature scientific publishing platform. Built on spider-browser .

Get started Docs

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

Quick start

Extract data in minutes.

nature-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.nature.com/search?q=quantum+computing&order=relevance");
await page.content(10000);

const data = await page.extractFields({
  title: "article h3 a",
  authors: "article [data-test='author-list']",
  journal: "article [data-test='journal-title']",
  date: "article time",
  snippet: "article .c-card__summary p",
  type: "article [data-test='article-type']",
});

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

ready to run · spider-browser · TypeScript

Fetch API

One endpoint for nature.com.

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

POST /fetch/nature.com/

Article titleAuthorsAbstractJournalDOIPublished date

Try it Fetch docs

cURL

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