Free balance on signupNo card. Failed requests cost $0.
Response
jmir.org/index.md
markdown · 279 lines
The clinical heterogeneity of atrial fibrillation (AF) challenges current classifications and risk scores, limiting their real-world applicability. AI-driven methods may enhance phenotyping and risk stratification.| [Share on Bluesky](<https://bsky.app/intent/compose?text=Check out this fascinating article by @jmirpub.bsky.social! https://www.jmir.org/2026/1/e90502>)[Share on Twitter](<https://twitter.com/intent/tweet?url=Check out this fascinating article by @jmirpub! https://www.jmir.org/2026/1/e90502>)[Share on Facebook](<https://www.facebook.com/sharer.php?s=100&u=https://www.jmir.org/2026/1/e90502"e=Check out this fascinating article by @jmirpub!>)[Share on LinkedIn](<https://www.linkedin.com/feed?shareActive=true&text=Check out this fascinating article by @jmirpub! https://www.jmir.org/2026/1/e90502>)Clinical Information and Decision MakingStepwise Diagnostic Evaluation of Chinese Large Language Models: Comparative Study of Common and Rare DiseasesLarge language models (LLMs) are increasingly applied in clinical decision support, yet their diagnostic performance in Chinese-language settings and under realistic clinical workflows remains unclear. In particular, how LLMs perform across diseases with different prevalence and under stepwise diagnostic processes has not been well characterized.| [Share on Bluesky](<https://bsky.app/intent/compose?text=Check out this fascinating article by @jmirpub.bsky.social! https://www.jmir.org/2026/1/e89963>)[Share on Twitter](<https://twitter.com/intent/tweet?url=Check out this fascinating article by @jmirpub! https://www.jmir.org/2026/1/e89963>)[Share on Facebook](<https://www.facebook.com/sharer.php?s=100&u=https://www.jmir.org/2026/1/e89963"e=Check out this fascinating article by @jmirpub!>)[Share on LinkedIn](<https://www.linkedin.com/feed?shareActive=true&text=Check out this fascinating article by @jmirpub! https://www.jmir.org/2026/1/e89963>)eHealth Literacy / Digital LiteracyUse of Information and Communication Technologies in Patients With Cancer Receiving Antineoplastic or Supportive Therapy: Comparative Cross-Sectional SurveyThe expansion of information and communication technologies (ICTs) has transformed the way patients access health information and manage their disease. In oncology and hematology care, the use of digital tools and mobile health has increased, especially after the COVID-19 pandemic, although challenges remain regarding adoption, trust, and perceived utility.| [Share on Bluesky](<https://bsky.app/intent/compose?text=Check out this fascinating article by @jmirpub.bsky.social! https://www.jmir.org/2026/1/e90339>)[Share on Twitter](<https://twitter.com/intent/tweet?url=Check out this fascinating article by @jmirpub! https://www.jmir.org/2026/1/e90339>)[Share on Facebook](<https://www.facebook.com/sharer.php?s=100&u=https://www.jmir.org/2026/1/e90339"e=Check out this fascinating article by @jmirpub!>)[Share on LinkedIn](<https://www.linkedin.com/feed?shareActive=true&text=Check out this fascinating article by @jmirpub! https://www.jmir.org/2026/1/e90339>)Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology
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Code · Fields · Cost ·
Run it keyless, no account
The same call, in code.
The capture above came back as markdown. These examples add a key, so you get browser rendering, proxies, and concurrency on jmir.org.
jmir-org-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://jmir.org");// No selectors, no schema. Spider reads the page and names the fields.const data = await page.scrape();console.log(data);await spider.close();
import { Spider } from "@spider-cloud/spider-client";const spider = new Spider({ apiKey: process.env.SPIDER_API_KEY! });const result = await spider.scrapeUrl("https://www.jmir.org", { return_format: "markdown",});console.log(result);
Spider names these from the page. The capture above came back as markdown; the same
call with return_format: "json" returns them as keys.
What jmir.org costs to scrape.
The capture above cost $0.000709 to fetch. Pricing is $1 per GB of pre-transformation bandwidth plus $0.001 per CPU minute, so a page like this one lands at a fraction of a cent. Failed requests are billed at $0.
You already have the call. A key raises the rate limit and turns on browser rendering,
proxies, and concurrency. Balance never expires, and top-ups go through secure checkout.