Frontiers Scraper
Extract open-access articles, review data, editorial board info, and impact metrics from Frontiers research publishing platform. Built on spider-browser .
- target
- frontiersin.org
- success rate
- 99.9%
- latency
- ~4ms
/fetch/frontiersin.org/ curl -X POST https://api.spider.cloud/fetch/frontiersin.org/ \ -H "Authorization: Bearer $SPIDER_API_KEY" \ -H "Content-Type: application/json" \ -d '{"return_format": "json"}'
{
"url": "https://frontiersin.org/",
"status": 200,
"data": {
"article_title": "string",
"authors": "string",
"abstract": "string",
"journal": "string",
"doi": "string",
"views": "string",
"downloads": "string",
"published_date": "string"
}
} # Frontiers Scraper
**Article title**: string
**Authors**: string
**Abstract**: string
**Journal**: string
**DOI**: string
**Views**: string
**Downloads**: string
**Published date**: string Extract data in minutes.
Structured JSON from frontiersin.org with a single POST. AI-resolved selectors, cached on the first call.
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.frontiersin.org/search?query=neuroscience+brain+imaging");
await page.content(10000);
const data = await page.evaluate(`(() => {
const articles = [];
document.querySelectorAll("[data-testid='search-result'], .search-result-item").forEach(el => {
const title = el.querySelector("h3 a, .article-title a")?.textContent?.trim();
const authors = el.querySelector(".authors-list, .article-authors")?.textContent?.trim();
const journal = el.querySelector(".journal-name, .article-journal")?.textContent?.trim();
const views = el.querySelector(".views-count, .metric-views")?.textContent?.trim();
const date = el.querySelector("time, .article-date")?.textContent?.trim();
if (title) articles.push({ title, authors, journal, views, date });
});
return JSON.stringify({ total: articles.length, articles: articles.slice(0, 15) });
})()`);
console.log(JSON.parse(data));
await spider.close(); curl -X POST https://api.spider.cloud/fetch/frontiersin.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/frontiersin.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/frontiersin.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); Fields you can pull.
Paper extraction
Extract abstracts, citations, author data, and metadata from frontiersin.org.
Academic parsing
Clean extraction of LaTeX, references, and structured research data.
Bulk research
Process thousands of papers and citations for systematic reviews.
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Start scraping frontiersin.org.
Grab an API key and call the endpoint above. The first request resolves the config; every request after hits cache.