Skip to content

oxylabs/netflix-scraper

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 

Repository files navigation

Netflix Scraper

Oxylabs promo code

Netflix Scraper extracts public data from Netflix on any scale you need. This quick tutorial will show you how to scrape Netflix with Oxylabs’ Scraper API.

How it works

You can gather Netflix data by sending a request to our API and including the Netflix URLs you want to scrape. Our service will send back the HTML of any Netflix page.

Python code example

This code sample makes a request to our service, which then renders JavaScript via a headless browser and retrieves the HTML of a Netflix page:

import requests
from pprint import pprint


# Structure payload.
payload = {
   'source': 'universal',
   'url': 'https://www.netflix.com/de-en/title/80057281',
   'render': 'html'
}

# Get response.
response = requests.request(
    'POST',
    'https://realtime.oxylabs.io/v1/queries',
    auth=('USERNAME', 'PASSWORD'), #Your credentials go here
    json=payload,
)

# Instead of response with job status and results url, this will return the
# JSON response with results.
pprint(response.json())

Visit our documentation for more information about payload parameters.

Output sample

{
  "results": [
    {
      "content": "<!doctype html>\n<html lang=\"en\">\n<head>
      ...
      </script></div>\n</html>\n",
      "created_at": "2023-05-18 12:23:06",
      "updated_at": "2023-05-18 12:23:25",
      "page": 1,
      "url": "https://www.netflix.com/de-en/title/80057281",
      "job_id": "7064938450625018881",
      "status_code": 200
    }
  ]
}

Oxylabs’ Netflix Scraper API makes it much easier to collect public information from Netflix. You can gather details about movies or TV series, like episode names, descriptions, cast, ratings, similar shows, etc. You can also monitor pricing plans or the news about subscription changes. In case you have any questions, you can reach us via live chat or email.

Also, check this tutorial on pypi