Extract Structured Data From Web Sites Using Analyze URL

input.py

import Algorithmia

input = "//blog.algorithmia.com/predictive-algorithms-track-real-time-health-trends/"
client = Algorithmia.client('YOUR API KEY')
algo = client.algo('web/AnalyzeURL/0.2.14')
print algo.pipe(input)

output.json

{
  "summary": "In this tutorial, we're going to build a real-time health dashboard using predictive algorithms to track a person's blood pressure trends over time.",
  "date": "2016-08-15T12:31:55-07:00",
  "thumbnail": "//blog.algorithmia.com/wp-content/uploads/2016/08/predictive-algorithm-dashboard.jpg",
  "marker": true,
  "text": "Build tomorrow's smart apps today This is a guest post by Chris Hannam, a professional Python and Java developer. Want to contribute your own how-to post Let us know contact us here. We’ve shown how to use predictive algorithms to track economic development. In this tutorial, we’re going to build a real-time health dashboard for tracking a person’s blood pressure readings, do time series analysis, and then graph the trends over time using predictive algorithms. ...",
  "title": "Predictive Algorithms to Track Your Health Data In Real Time - Algorithmia",
  "url": "https://blog.algorithmia.com/predictive-algorithms-track-real-time-health-trends/",
  "statusCode": 200
}